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Abbo, D. (2017) The analysis of cyber security: the extended Cartesian method approach with innovative study models. PhD thesis, University of Reading.

Abbo, D. and Sun, L. (2009) Security analysis of information systems. In: IADIS International Conference e-Society, Barcelona, Spain.

Abbo, D. and Sun, L. (2009) The patterns for information system security [poster]. In: 11th International Conference on Enterprise Information Systems (ICEIS 2009), Milan, Italy.

Abd Aziz, A. Z. B. (2017) Vision-based spoofing face detection using polarised light. PhD thesis, University of Reading.

AbdAziz, A., Wei, H. and Ferryman, J. (2017) Face anti-spoofing countermeasure: efficient 2D materials classification using polarization imaging. In: 5th International Workshop on Biometrics and Forensics, 4-5 Apr 2017, Coventry, UK.

AbdAziz, A., Wei, H. and Ferryman, J. (2015) On evaluation of depth accuracy in consumer depth sensor. In: 8th International Conference on Machine Vision, 19-21, November 2017, Barcelona, Spain.

Abdelwahab, S., Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 and Abraham, A. (2016) Neuro-fuzzy risk prediction model for computational grids. In: Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015, Sep 9, 2015 - Sep 11, 2015, Paris - Villejuif, France, pp. 127-136. doi: https://doi.org/10.1007/978-3-319-29504-6_13

Acosta, M. C. ORCID: https://orcid.org/0000-0001-7054-8168, Palomas, S. ORCID: https://orcid.org/0000-0002-2191-152X, Paronuzzi Ticco, S. V., Utrera, G., Biercamp, J. ORCID: https://orcid.org/0000-0002-6677-2164, Bretonniere, P.-A. ORCID: https://orcid.org/0000-0002-3066-6685, Budich, R. ORCID: https://orcid.org/0000-0002-9274-4052, Castrillo, M. ORCID: https://orcid.org/0000-0003-1826-623X, Caubel, A., Doblas-Reyes, F. ORCID: https://orcid.org/0000-0002-6622-4280, Epicoco, I., Fladrich, U., Joussaume, S., Kumar Gupta, A., Lawrence, B. ORCID: https://orcid.org/0000-0001-9262-7860, Le Sager, P., Lister, G., Moine, M.-P., Rioual, J.-C., Valcke, S. ORCID: https://orcid.org/0000-0002-0438-5978, Zadeh, N. and Balaji, V. ORCID: https://orcid.org/0000-0001-7561-5438 (2024) The computational and energy cost of simulation and storage for climate science: lessons from CMIP6. Geoscientific Model Development, 17 (8). pp. 3081-3098. ISSN 1991-9603 doi: https://doi.org/10.5194/gmd-17-3081-2024

Adams, A. A., Murata, K., Orito, Y. and Parslow, P. (2011) Emerging social norms in the UK and Japan on privacy and revelation in SNS. IRIE: the International Review of Information Ethics, 16. pp. 20-26. ISSN 1614-1687

Adams, A. A. and Ferryman, J. (2013) The future of video analytics for surveillance and its ethical implications. Security Journal. pp. 1-18. ISSN 1743-4645 doi: https://doi.org/10.1057/sj.2012.48

Adams, S. V., Ford, R. W., Hambley, M., Hobson, J.M., Kavčič, I., Maynard, C. M., Melvin, T., Müller, E. H., Porter, A. R., Rezny, M., Shipway, B. J. and Wong, W. (2019) LFRic: meeting the challenges of scalability and performance portability in weather and climate models. Journal of Parallel and Distributed Computing, 132. pp. 383-396. ISSN 0743-7315 doi: https://doi.org/10.1016/j.jpdc.2019.02.007

Adderley, R., Badii, A. and Wu, C. (2008) The automatic identification and prioritisation of criminal networks from police crime data. In: OrtizArroyo, D., Larsen, H.L., Zeng, D.D., Hicks, D. and Wagner, G. (eds.) Intelligence and security informatics, proceedings. Springer-Verlag, Berlin, 5–14. ISBN 9783540898993

Adedoyin-Olowe, M., Gaber, M. M. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2013) TRCM: a methodology for temporal analysis of evolving concepts in Twitter. Lecture Notes in Computer Science, 7895. pp. 135-145. ISSN 0302-9743 doi: https://doi.org/10.1007/978-3-642-38610-7_13 (Proceedings, Part II. 12th International Conference on Artificial Intelligence and Soft Computing)

Adedoyin-Olowe, M., Gaber, M. M. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2014) A survey of data mining techniques for social media analysis. Journal of Data Mining & Digital Humanities, 2014. ISSN 2416-5999

Adedoyin-Olowe, M., Gaber, M. M., Dancausa, C. M. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2014) Extraction of unexpected rules from Twitter hashtags and its application to sport events. In: 13th International Conference on Machine Learning and Applications (ICMLA 2014), 3-5 Dec 2014, Detriot, MI, USA, pp. 207-212.

Adedoyin-Olowe, M., Gaber, M. M., Dancausa, C., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Gomes, J. B. (2016) A rule dynamics approach to event detection in Twitter with its application to sports and politics. Expert Systems with Applications, 55. pp. 351-360. ISSN 0957-4174 doi: https://doi.org/10.1016/j.eswa.2016.02.028

Adetoye, A. O. and Badii, A. (2009) A policy model for secure information flow. Lecture Notes in Computer Science, 5511. pp. 1-17. ISSN 0302-9743 doi: https://doi.org/10.1007/978-3-642-03459-6

Aguilera, J., Thirde, D., Kampel, M., Borg, M., Fernandez, G. and Ferryman, J. (2006) Visual surveillance for airport monitoring applications. In: 11th Computer Vision Winter Workshop 2006, Telc, Czech Republic.

Aitken, D.L.P., Bishop, J.M., Mitchell, R. J. and Pepper, S.E. (1989) Pattern separation in digital learning nets. Electronics Letters, 25 (11). pp. 685-686. ISSN 0013-5194 doi: https://doi.org/10.1049/el:19890463

Al Ghamdi, S. (2018) Efficient clustering techniques for big data. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00084926

Al Ghamdi, S. and Di Fatta, G. (2019) Efficient clustering techniques on Hadoop and Spark. International Journal of Big Data Intelligence, 6 (3/4). pp. 269-290. ISSN 2053-1389 doi: https://doi.org/10.1504/IJBDI.2019.10018592

Al Ghamdi, S., Di Fatta, G. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2015) Optimisation techniques for parallel K-Means on MapReduce. In: Proceedings of the 8th International Conference on Internet and Distributed Computing Systems - Volume 9258, pp. 193-200.

Al-Azawei, A. H. S. (2017) Modelling e-learning adoption: the influence of learning style and universal learning theories. PhD thesis, University of Reading.

Al-Azawei, A. and Badii, A. (2014) State of the art of learning styles-based adaptive educational hypermedia systems (Ls-Baehss). International Journal of Computer Science & Information Technology, 6 (3). pp. 1-19. ISSN 0975-3826 doi: https://doi.org/10.5121/ijcsit.2014.6301

Al-Azawei, A., Parslow, P. and Lundqvist, K. (2016) Barriers and opportunities of e-learning implementation in Iraq: a case of public universities. The International Review of Research in Open and Distributed Learning, 17 (5). pp. 126-146. ISSN 1492-3831 doi: https://doi.org/10.19173/irrodl.v17i5.2501

Al-Azawei, A., Parslow, P. and Lundqvist, K. (2015) A psychometric analysis of reliability and validity of the index of learning styles (ILS). International Journal of Psychological Studies, 7 (3). pp. 46-57. ISSN 1918-722X doi: https://doi.org/10.5539/ijps.v7n3p46

Al-Dabbagh, A. (2019) The distributed p-median problem in computer networks. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00084947

Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414, Baker, T., Al-Libawy, H., Maamar, Z., Aloqaily, M. and Jararweh, Y. (2019) Improving fog computing performance via Fog-2-Fog collaboration. Future Generation Computer Systems, 100. pp. 266-280. ISSN 0167-739X doi: https://doi.org/10.1016/j.future.2019.05.015

Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414, Baker, T., Al-Libawy, H., Waraich, A., Chalmers, C. and Alfandi, O. (2018) Fog computing framework for internet of things applications. In: 11th International Conference on Developments in eSystems Engineering (DeSE), 02-05 Sep 2018, Cambridge, UK, pp. 71-77. doi: https://doi.org/10.1109/DeSE.2018.00017

Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414, Baker, T., Asim, M., Guo, Z., Ranjan, R., Longo, A., Puthal, D. and Taylor, M. (2020) COMITMENT: a fog computing trust management approach. Journal of Parallel and Distributed Computing, 137. pp. 1-16. ISSN 0743-7315 doi: https://doi.org/10.1016/j.jpdc.2019.10.006

Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414, Baker, T., Chalmers, C., Asim, M., Kolivand, H., Fahim, M. and Waraich, A. (2019) Remote health monitoring of elderly through wearable sensors. Multimedia Tools and Applications, 78 (17). pp. 24681-24706. ISSN 1573-7721 doi: https://doi.org/10.1007/s11042-018-7134-7

Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414, Baker, T., Hussien, A. and Cotgrave, A. (2020) UAV and fog computing for IoE-based systems: a case study on environment disasters prediction and recovery plans. In: Al-Turjman, F. (ed.) Unmanned aerial vehicles in smart cities. Unmanned system technologies. Springer, Cham, pp. 133-152. ISBN 9783030387112 doi: https://doi.org/10.1007/978-3-030-38712-9_8

Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414, Baker, T., Waraich, A., Al-Jumeily, D. and Hussain, A. (2018) IoT-fog optimal workload via fog offloading. In: IEEE/ACM International Conference on Utility and Cloud Computing Companion, 17-20 Dec 2018, Zurich, Switzerland, pp. 359-364. doi: https://doi.org/10.1109/UCC-Companion.2018.00081

Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414, Baker, T., Waraich, A., Alfandi, O. and Hussien, A. (2019) Enabling high performance fog computing through fog-2-fog coordination model. In: IEEE/ACS 16th International Conference on Computer Systems and Applications, 3-7 Nov 2019, Abu Dhabi, UAE. doi: https://doi.org/10.1109/AICCSA47632.2019.9035353

Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414, Kolivand, H., Baker, T., Tully, D. and Waraich, A. (2019) Smart hospital emergency system via mobile-based requesting services. Multimedia Tools and Applications, 78 (14). pp. 20087-20111. ISSN 1573-7721 doi: https://doi.org/10.1007/s11042-019-7274-4

Al-Khafajiy, M. ORCID: https://orcid.org/0000-0001-6561-0414, Otoum, S., Baker, T., Asim, M., Maamar, Z., Aloqaily, M., Taylor, M. and Randles, M. (2021) Intelligent control and security of fog resources in healthcare systems via a cognitive fog model. ACM Transactions on Internet Technology, 21 (3). pp. 1-23. ISSN 1533-5399 doi: https://doi.org/10.1145/3382770

AlDabbagh, A., Di Fatta, G. and Liotta, A. (2019) The distributed p-median problem in computer networks. In: ICCSA 2019 Conference, 1-4 Jul 2019, Saint Petersburg, Russia, pp. 541-556. doi: https://doi.org/10.1007/978-3-030-24311-1_39

Alamoudi, S., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Wei, H. (2020) Plant leaf recognition using texture features and semi-supervised spherical K-means clustering. In: 2020 International Joint Conference on Neural Networks (IJCNN), 19-24 July 2020, Glasgow, United Kingdom (virtual). doi: https://doi.org/10.1109/IJCNN48605.2020.9207386

Alforov, Y., Novikova, A., Kuhn, M., Kunkel, J. and Ludwig, T. (2018) Towards green scientific data compression through high-level I/O interfaces. In: SBAC-PAD 2018, 24-27 September, Lyon, France, pp. 209-216.

Alghamdi, H. A. (2018) A service driven method for evaluating business and IT alignment. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00084956

Aljaidi, M., Aslam, N., Chen, X. ORCID: https://orcid.org/0000-0001-9267-355X, Kaiwartya, O., Al-Gumaei, Y. A. and Khalid, M. (2022) A reinforcement learning-based assignment scheme for EVs to charging stations. In: 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring), 19-22 June 2022, Helsinki, Finland. doi: https://doi.org/10.1109/VTC2022-Spring54318.2022.9860535

Allan, A. and Di Fatta, G. (2010) Effectiveness of landmark analysis for establishing locality in p2p networks. In: The Second International Conference on Advances in P2P Systems (AP2PS 2010), 25-30 October 2010, Florence, Italy, pp. 88-92. (ISBN: 9781612081021)

Allan, A., Bradbury, J. and Di Fatta, G. (2011) Virtual landmarking for locality aware peer IDs. In: ThinkMind // AP2PS 2011, The Third International Conference on Advances in P2P Systems , November 20, 2011 to November 25, 2011 , Lisbon, Portugal, pp. 7-12.

Almutairi, M. K. (2022) Expressive and explainable rule-based classification. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00114127

Almutairi, M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Bramer, M. (2017) Improving modular classification rule induction with G-Prism using dynamic rule term boundaries. In: Bramer, M. and Petridis, M. (eds.) Artificial Intelligence XXXIV. Lecture Notes in Computer Science (10630). Springer, pp. 115-128. ISBN 9783319710785 doi: https://doi.org/10.1007/978-3-319-71078-5_9

Almutairi, M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Bramer, M. (2021) ReG-Rules: an explainable rule-based ensemble learner for classification. IEEE Access, 9. pp. 52015-52035. ISSN 2169-3536 doi: https://doi.org/10.1109/ACCESS.2021.3062763

Almutairi, M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Bramer, M. (2019) A rule-based classifier with accurate and fast rule term induction for continuous attributes. In: 17th International Conference on Machine Learning and Applications, 17th to 20th of December 2018, Orlando, Florida, pp. 413-420.

Almutairi, M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Jennings, M., Le, T. and Bramer, M. (2016) Towards expressive modular rule induction for numerical attributes. In: Thirty-sixth SGAI International Conference on Artificial Intelligence, 13-15 DECEMBER 2016, Cambridge, UK, pp. 229-235.

Alowayr, A. S. (2018) Effectiveness of avatars representing teachers in M-learning in Saudi Arabia higher education. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00079819

Alowayr, A. and Badii, A. (2014) Review of monitoring tools for e-learning platforms. International Journal of Computer Science & Information Technology, 6 (3). pp. 79-86. ISSN 0975-3826 doi: https://doi.org/10.5121/ijcsit.2014.6306

Alsaffar, E., Sun, L. and Kabeil, M.M. (2009) E-governments' role activation in arab countries. In: International Conference on Information Management and Engineering (ICIME 2009) , Kuala Lumpur, Malaysia. doi: https://doi.org/10.1109/ICIME.2009.27

Alsaffar, E., Sun, L. and Kabeil, M. (2010) Impact of e-procurement systems on UAE government services. Systemics and Informatics World Network (SIWN), 8. pp. 102-107. ISSN 2044-7272

Alsaffar, E., Sun, L. and Kabeil, M.M. (2009) Effective e-procurement systems to support UAE government service provision. International Transactions on Systems Science and Applications. ISSN 1751-1461

Alsaffar, E., Sun, L. and Kabeil, M.M. (2007) Impact of e-procurement systems on UAE government services. In: International Conference on Adaptive Business Systems (ICABS 2007), Chengdu, China.

Alsaffar, E., Sun, L. and Kabeil, M.M. (2009) A design of e-procurement infrastructure model for public service sector. In: 2nd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2009) , Beijing, China. doi: https://doi.org/10.1109/ICCSIT.2009.5234601

Alsultan, A., Warwick, K. and Wei, H. (2016) Free-text keystroke dynamics authentication for Arabic language. IET Biometrics, 5 (3). pp. 164-169. ISSN 2047-4938 doi: https://doi.org/10.1049/iet-bmt.2015.0101

Alsultan, A., Warwick, K. and Wei, H. (2018) Improving the performance of free-text keystroke dynamics authentication by fusion. Applied Soft Computing, 70 (9). pp. 1024-1033. ISSN 1568-4946 doi: https://doi.org/10.1016/j.asoc.2017.11.018

Alsultan, A., Warwick, K. and Wei, H. (2017) Non-conventional keystroke dynamics for user authentication. Pattern Recognition Letters, 89 (1). pp. 53-59. ISSN 0167-8655 doi: https://doi.org/10.1016/j.patrec.2017.02.010

Alyami, R. and Wei, H. (2018) Do exergames motivate seniors to exercise? Computer graphics impact. In: Cambridge Workshop on Universal Access and Assertive Technology, 9-11 April 2018, Cambridge, UK, pp. 227-235.

Alzubi, S. M. Y. (2022) Network intrusion detection system for detecting unknown network attacks using machine learning methods. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00110386

Alzubi, S., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Gaber, M. M. (2021) Towards intrusion detection of previously unknown network attacks. Communications of the ECMS, 35 (1). pp. 35-41. ISSN 2522-2414 doi: https://doi.org/10.7148/2021-0035

Amaradio, M. N., Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192, Jansen, G., Gulisano, M., Costanza, J. and Nicosia, G. (2022) Pareto optimal metabolic engineering for the growth-coupled overproduction of sustainable chemicals. Biotechnology and Bioengineering, 119 (7). pp. 1890-1902. ISSN 0006-3592 doi: https://doi.org/10.1002/bit.28103

Amoudi, S. A., Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Wei, H. (2022) Modified Probabilistic Neural Networks LBP Classification Based on Distance Measures in Probability Space. In: The 21st UK Workshop on Computational Intelligence, 7-9, Sept,2022, Sheffield. (In Press)

Anderson, J. (2011) Evolutionary and revolutionary effects of transcomputation. In: 2nd IMA Conference on Mathematics in Defence 2011, October 2011, Defence Academy of the United Kingdom, Shrivenham, England..

Anderson, J. (2015) Transmathematical basis of infinitely scalable pipeline machines. In: ICCS 2015 Computational Science at the Gates of Nature, pp. 1828-1837.

Anderson, J. A. D. W., ed. (1989) POP-11 comes of age: the advancement of an AI programming language. Ellis-Horwood, Chichester, pp592. ISBN 9780136505990

Anderson, J. A. D. W. (2002) Robot free will. In: ECAI 2002: 15th European Conference on Artificial Intelligence, 21-26 Jun 2002, Lyon, France, pp. 559-563.

Anderson, J. A. D. W. (1989) Visual conviction. In: The Fifth Alvey Vision Conference, 1989, UK, pp. 301-303.

Anderson, J. A. D. W., Sullivan, G.D. and Baker, K. (1988) Constrained constructive solid geometry: a unique representation of scenes. In: The Fourth Alvey Vision Conference, 1988, UK, pp. 91-96.

Anderson, J. A. D. W. (1993) Canonical description of the perspective projections. In: Melter, R. A. and Wu, A. Y. (eds.) Vision Geometry. SPIE Proceedings (1832). SPIE Press, Bellingham, WA, pp. 300-311. ISBN 9780819410337 doi: https://doi.org/10.1117/12.142179

Anderson, J. A. D. W. (2002) Exact numerical computation of the rational general linear transformations. In: SPIE Vision Geometry XI, 7 July 2002, Seattle, USA, pp. 22-28. doi: https://doi.org/10.1117/12.446427

Anderson, J. A. D. W. (2019) Foundations of transmathematics. Transmathematica. ISSN 2632-9212 doi: https://doi.org/10.36285/tm.v0i0.23

Anderson, J. A. D. W. (2002) Perspex machine. In: SPIE Vision Geometry XI, 7 July 2002, Seattle, USA, pp. 10-21. doi: https://doi.org/10.1117/12.446428

The University of Reading (2010) Processors. GB2462770. doi: GB2462770

Anderson, J. A. D. W. (1997) Representing geometrical knowledge. Philsophical Transactions of the Royal Society B, 352 (1358). pp. 1129-1139. ISSN 1471-2970 doi: https://doi.org/10.1098/rstb.1997.0096

Anderson, J. A. D. W. (1994) The programming language standards scene, ten years on paper 19: Pop. Computer Standards & Interfaces, 16 (5-6). pp. 547-553. ISSN 0920-5489 doi: https://doi.org/10.1016/0920-5489(94)90039-6

Anderson, J. A. D. W. and Sweby, P. K. ORCID: https://orcid.org/0009-0003-8488-0251 (2002) Exact computation in numerical linear algebra: the Discrete Fourier Transform. In: Toro, E. F. (ed.) Godunov methods: theory and applications. Springer, New York, pp. 61-67. ISBN 9780306466014

Anderson, J. A. D. W., Baker, K.D. and Sullivan, G.D. (1986) ‘Model’: a POPLOG package to support model-based vision. Image and Vision Computing, 4 (2). pp. 115-119. ISSN 0262-8856 doi: https://doi.org/10.1016/0262-8856(86)90030-2

Anderson, J. A.D.W. and Gomide, W. (2014) Transreal arithmetic as a consistent basis for paraconsistent logics. In: International Conference on Computer Science and Applications (WCECS 2014), 22-24 October 2014, San Francisco, USA,, pp. 103-108.

Anderson, J. A.D.W. and dos Reis, T. S. (2014) Transreal limits expose category errors in IEEE 754 floating-point arithmetic and in mathematics. In: International Conference on Computer Science and Applications (WCECS 2014), 22-24 October 2014, San Francisco, USA,, pp. 86-91.

Anderson, J. A.D.W. (2014) Trans-floating-point arithmetic removes nine quadrillion redundancies from 64-bit IEEE 754 floating-point arithmetic. In: International Conference on Computer Science and Applications (WCECS 2014), 22-24 October, 2014, San Francisco, USA, pp. 80-85.

Anderson, J.A.D.W. (2008) Perspex machine XI: topology of the transreal numbers. In: IMECS 2008: international multiconference of engineers and computer scientists. International Association of Engineers, Hong Kong, pp. 330-338. ISBN 9789889867188

Anderson, J.A.D.W. (2005) Perspex Machine II: Visualisation. In: Vision Geometry XIII. Proceedings of SPIE, San Jose, CA, USA.

Anderson, J.A.D.W. (2005) Perspex Machine III: Continuity Over the Turing Operations. In: Vision Geometry XIII. Proceedings of SPIE , San Jose, CA, USA.

Anderson, J.A.D.W. (2005) Perspex Machine IV: Spatial Properties of Computation. AISB Quarterly (121). p. 7.

Anderson, J.A.D.W. (2006) Perspex machine VII: The universal perspex machine. In: Conference on Vision Geometry 14, San Jose, USA.

Anderson, J.A.D.W. (2007) Perspex machine IX: transreal analysis. In: SPIE. doi: https://doi.org/10.1117/12.698161

Anderson, J.A.D.W., Volker, N. and Adams, A.A. (2007) Perspex machine VIII: axioms of transreal arithmetic. In: SPIE. doi: https://doi.org/10.1117/12.698153

Andersson, M., Johansson, R., Stenborg, K.-G., Forsgren, R., Cane, T., Taberski, G., Patino, L. ORCID: https://orcid.org/0000-0002-6716-0629 and Ferryman, J. (2016) The IPATCH system for maritime surveillance and piracy threat classification. In: 2016 European Intelligence and Security Informatics Conference (EISIC), 17-19 Aug 2016, Uppsala, Sweden, p. 200. doi: https://doi.org/10.1109/EISIC.2016.054

Anwer, M. S. (2017) Improving TCP behaviour to non-invasively share spectrum with safety messages in VANET. PhD thesis, University of Reading.

Aplin, K. L., Bennett, A. J., Harrison, R. G. and Houghton, I. M. P. (2016) Electrostatics and in situ sampling of volcanic plumes. In: Mackie, S., Cashman, K., Ricketts, H., Rust, A. and Watson, M. (eds.) Volcanic Ash. Elsevier, pp. 99-113. ISBN 9780081004050 doi: https://doi.org/10.1016/B978-0-08-100405-0.00010-0

Aquilera, J., Wildernauer, H., Kampel, M., Borg, M., Thirde, D. and Ferryman, J. (2005) Evaluation of Motion Segmentation Quality for Aircraft Activity Surveillance. In: The Second Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS 2005), Beijing, China.

Ashdown, I. D. and Mitchell, R. J. (2005) Dynamic automata for mobile robot learning. In: Proceedings of the IASTED International Conference on Computational Intelligence, Calgary.

Ashlam, A. A., Badii, A. and Stahl, F. (2023) Data-mining and hashing to prevent application-layer DDoS and SQL injection attacks. In: 2023 IEEE International Conference on Advanced Systems and Emergent Technologies, 29 Apr 2023 - 01 May 2023, Hammamet, Tunisia. doi: https://doi.org/10.1109/ic_aset58101.2023.10150694

Ashlam, A. A., Badii, A. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2022) Multi-phase algorithmic framework to prevent SQL injection attacks using improved machine learning and deep learning to enhance database security in real-time. In: 15th International Conference on Security of Information and Networks (SIN), 11 - 13 November 2022, Sousse, Tunisia. doi: https://doi.org/10.1109/SIN56466.2022.9970504 (IEEE Xplore)

Ashlam, A. A., Badii, A. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2022) WebAppShield: an approach exploiting machine learning to detect SQLi attacks in an application layer in run-time. International Journal of Computer and Information Engineering, 16 (8). pp. 294-302. ISSN 1307-6892 doi: https://doi.org/10.5281/zenodo.6983905

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Harvey, A. P., McCrindle, R. J., Lundqvist, K. O. and Parslow, P. N. (2010) Automatic speech recognition for assistive technology devices. In: ICDVRAT 2010: The Eighth International Conference on Disability Virtual Reality and Associated Technologies, 31 Aug-2 Sept 2010, Valparaiso, Chile.

Hawkins, G., Hunneman, R., Sherwood, R. E. and Barrett, B. M. (2002) Interference filters and coatings for mid-infrared astronomy (8-30µm). In: AtadEttedgui, E. and Dodorico, S. (eds.) Specialized Optical Developments in Astronomy. Proceedings of the Society of Photo-Optical Instrumentation Engineers (Spie), 4842. Spie-Int Soc Optical Engineering, Bellingham, pp. 43-55. ISBN 0277786X0819446211

Hawkins, G. and Hunneman, R. (2000) A spectral performance model for the High Resolution Dynamics Limb Sounder (6-18µm). Infrared Physics and Technology, 41 (4). pp. 239-246. ISSN 1350-4495 doi: https://doi.org/10.1016/S1350-4495(00)00039-6

Hawkins, G. and Hunneman, R. (2004) The temperature-dependent spectral properties of filter substrate materials in the far-infrared (6-40 mu m). Infrared Physics & Technology, 45 (1). pp. 69-79. ISSN 1350-4495 doi: https://doi.org/10.1016/s1350-4495(03)00180-4

Hawkins, G. and Sherwood, R. E. (2008) Cooled infrared filters and dichroics for the James Webb Space Telescope Mid-Infrared Instrument. Applied Optics, 47 (13). C25-C34. ISSN 0003-6935 doi: https://doi.org/10.1364/AO.47.000C25

Hawkins, G. and Stolberg-Rohr, T. (2015) Determination of the embedded thermo-optical expansion coefficients of PbTe and ZnSe thin film infrared multilayers. Optics Express, 23 (12). pp. 16348-16355. ISSN 1094-4087 doi: https://doi.org/10.1364/OE.23.016348

Hawkins, G., Hunneman, R., Sherwood, R. and Barrett, B. (2000) Infrared filters and coatings for the High Resolution Dynamics Limb Sounder (6-18µm). Applied Optics, 39 (28). pp. 5221-5230. ISSN 0003-6935 doi: https://doi.org/10.1364/AO.39.005221

Hawkins, G., Sherwood, R., Djotni, K. and Threadgold, T. (2016) Cooled optical filters for Q-band infrared astronomy (15-40 μm). In: Advances in Optical and Mechanical Technologies for Telescopes and Instrumentation (Conference 9912), Coatings, Filters and Gratings [9912-110], 26 Jun - 01 Jul 2016, Edinburgh, United Kingdom. doi: https://doi.org/10.1117/12.2231669

Hawkins, G., Sherwood, R., Djotni, K., Coppo, P. M., Höhnemann, H. and Belli, F. (2013) Cooled infrared filters and dichroics for the sea and land surface temperature radiometer (SLSTR). Applied Optics Journal, 52 (10). pp. 2125-2135. ISSN 2155-3165 doi: https://doi.org/10.1364/AO.52.002125

Hawkins, G., Woods, D., Sherwood, R. and Djotni, K. (2014) Infrared optical coatings for the EarthCARE Multispectral Imager. Applied Optics, 53 (30). pp. 6983-6992. ISSN 0003-6935 doi: https://doi.org/10.1364/AO.53.006983

Hawkins, G. J., Hunneman, R. and Cole, C. (1994) Infrared filters for space-flight focal plane array applications. In: Abeles, F. (ed.) Optical Interference Coatings. SPIE Proceedings (2253). SPIE Press, Bellingham, WA, pp. 333-347. ISBN 9780819415622 doi: https://doi.org/10.1117/12.192103

Hawkins, G. J., Hunneman, R. and Seeley, J. S. (1991) Exposure to space radiation of high performance infrared multilayer filters and materials technology experiment. In: LDEF—69 Months in Space: Proceedings of the First Post-Retrieval Symposium, June 2-8, Kissimmee, Florida, pp. 1479-1492.

Hawkins, G. J., Hunneman, R. and Seeley, J. S. (1990) Preliminary results from the infrared multilayer filters and materials exposed to the space environment on the NASA LDEF mission. In: Lettington, A. H. (ed.) Infrared Technology and Applications. SPIE Proceedings (1320). SPIE Press, Bellingham, WA, pp. 407-419. ISBN 9780819403810 doi: https://doi.org/10.1117/12.22348

Hawkins, G. J., Hunneman, R. and Seeley, J. S. (1991) Space exposure of infrared filters and materials on the NASA Long Duration Exposure Facility (LDEF). In: Space Exposure of Infrared Filters and Materials on the NASA Long Duration Exposure Facility (LDEF). University of Reading. ISBN 9780704904095

Hawkins, G. J., Hunneman, R. and Seeley, J.S. (1987) Design and disposition of infrared optical multilayer coatings for the Improved Stratospheric and Mesospheric Sounder (ISAMS). In: Bowyer, C.S. and Seeley, J.S. (eds.) Optoelectronic technologies for remote sensing from space. Proceedings of SPIE (868 ). SPIE. ISBN 9780892529032

Hawkins, G. J., Seeley, J.S. and Hunneman, R. (1988) Spectral characterisation of cooled filters for remote sensing. In: Elliot, C. (ed.) Recent developments in infrared components and subsystems. Proceedings of SPIE (915). SPIE, pp. 71-78. ISBN 9780892529506

Hawkins, G. J., Sherwood, R. and Djotni, K. (2008) Mid-infrared filters for astronomical and remote sensing instrumentation. In: Kaiser, N., Lequime, M. and Mcleod, H. A. (eds.) Advances in optical thin films III. Proceedings of the Society of Photo-Optical Instrumentation Engineers (SPIE), 7101. SPIE, 10114 -10114. ISBN 9780819473318 doi: https://doi.org/10.1117/12.796635

Hawkins, G. J., Sherwood, R. E. and Barrett, B. M. (2007) Cooled Infrared Dichroic Beamsplitters and Filters for the MIRI Spectrometer and Imager (5-29µm). In: Optical Interference Coatings, OSA Technical Digest (CD). Optical Society of America. ISBN 1557528411

Hawkins, G. J. and Hunneman, R. (1994) Design and fabrication of infrared filters for remote sounding instrumentation. In: Dewandre, T. M. , Schulte-in-den-Baeumen , J. J. and Sein, E. (eds.) Space Optics 1994: Space Instrumentation and Spacecraft Optics. SPIE Proceedings (2210). SPIE Press, Bellingham, WA, pp. 639-651. ISBN 9780819415141 doi: https://doi.org/10.1117/12.188124

Hawkins, G. J., Hunneman, R., Barnett, J. and Whitney, J. (1998) Spectral design and verification of HIRDLS filters and antireflection coatings using an integrated system performance approach. In: Strojnik, M. and Andresen, B. (eds.) Infrared Spaceborne Remote Sensing. Proceedings of SPIE , 6 (3437). SPIE, pp. 102-112. ISBN 9780819428929 doi: https://doi.org/10.1117/12.331311

Hawkins, G. J., Hunneman, R., Gardner, M.T. and Babcock, G.T. (1998) An ultra-wide passband (5-30µm) filter for FTIR studies of Photosystem II. Infrared Physics and Technology, 39 (5). pp. 297-306. ISSN 1350-4495 doi: https://doi.org/10.1016/S1350-4495(98)00021-8

Hawkins, G. J., Sherwood, R. E., Barrett, B. M., Wallace, M., Orr, H. J. B., Matthews, K. and Bisht, S. (2008) High-performance infrared narrow-bandpass filters for the Indian National Satellite System meteorological instrument (INSAT-3D). Applied Optics, 47 (13). pp. 2346-2356. ISSN 0003-6935 doi: https://doi.org/10.1364/AO.47.002346

Hawkins, G.J., Sherwood, R. E., Barratt, B.M. and Wakeham, S.J. (2007) Mid-infrared filters for the diviner radiometer experiment on the lunar reconnaissance orbiter (7-40um). In: OSA Optical Interference Coatings Topical Meeting and Tabletop Exhibit, Tuscon, USA.

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2020) CEN: Understanding Rook vs Minor Piece Endgames. ICGA Journal, 42 (1). pp. 41-45. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190140

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2017) Chess endgame news. ICGA Journal, 39 (2). p. 172. ISSN 1389-6911

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2019) Chess endgame news: 7-man 'Syzygy' DTZ50" EGTs. ICGA Journal, 40 (4). pp. 372-373. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190087

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2019) Chess endgame news: an Endgame challenge for neural nets. ICGA Journal, 41 (3). p. 176. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190109

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2019) Chess endgame news: understanding minor piece endgames. ICGA Journal, 41 (2). pp. 110-112. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190106

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2020) Thomas Ströhlein's Endgame Tables: a 50th Anniversary. ICGA Journal, 42 (2-3). pp. 165-170. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-200151

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2017) Understanding Rook Endgames. ICGA Journal, 39 (2). pp. 145-150. ISSN 1389-6911

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2020) The 16th Top Chess Engine Championship: TCEC 16. ICGA Journal, 41 (4). pp. 241-252. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190122

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2020) The 17th Top Chess Engine Championship: TCEC17. ICGA Journal, 42 (2-3). pp. 181-191. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-200152

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2020) The 18th Top Chess Engine Championship: TCEC18. ICGA Journal, 42 (2-3). pp. 211-222. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-200160

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2021) The 19th Top Chess Engine Championship, TCEC19. ICGA Journal, 42 (4). pp. 295-305. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-200172

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2019) TCEC Cup 1. ICGA Journal, 41 (1). pp. 31-38. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190099

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2019) TCEC Cup 2. ICGA Journal, 41 (2). pp. 100-107. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190104

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2019) TCEC Cup 3. ICGA Journal, 41 (3). pp. 168-173. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190114

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2020) TCEC Cup 4. ICGA Journal, 41 (4). pp. 259-263. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190124

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2020) TCEC Cup 5. ICGA Journal, 42 (2-3). pp. 207-210. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-200150

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2020) TCEC Cup 6. ICGA Journal, 42 (2-3). pp. 237-241. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-200159

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2020) TCEC Cup 7. ICGA Journal, 42 (4). pp. 321-325. ISSN 1389-6911

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2018) TCEC10: the 10th Top Chess Engine Championship. ICGA Journal, 40 (2). pp. 113-118. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-180045

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2018) TCEC11: the 11th top chess engine championship. ICGA Journal, 40 (3). pp. 216-223. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190081

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2019) TCEC12: the 12th Top Chess Engine Championship. ICGA Journal, 41 (1). pp. 24-30. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190090

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2019) TCEC13: the 13th Top Chess Engine Championship. ICGA Journal, 41 (2). pp. 92-99. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190103

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2019) TCEC14: the 14th top chess engine championship. ICGA Journal, 41 (3). pp. 143-151. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190117

Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 and Hernandez, N. (2019) TCEC15: the 15th Top Chess Engine Championship. ICGA Journal, 41 (3). pp. 153-163. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190115

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Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2001) Nonlinear model structure detection using optimum experimental design and orthogonal least squares. IEEE Transactions on Neural Networks, 12 (2). pp. 435-439. ISSN 1045-9227 doi: https://doi.org/10.1109/72.914539

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2001) Variable selection algorithm for the construction of MIMO operating point dependent neurofuzzy networks. IEEE Transactions on Fuzzy Systems, 9 (1). pp. 88-101. ISSN 1063-6706 doi: https://doi.org/10.1109/91.917117

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2002) A mixture of experts network structure construction algorithm for modelling and control. Applied Intelligence, 16 (1). pp. 59-69. ISSN 1573-7497 doi: https://doi.org/10.1023/A:1012869427428

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C. J. (2003) A neurofuzzy network knowledge extraction and extended gram-Schmidt algorithm for model subspace decomposition. IEEE Transactions on Fuzzy Systems, 11 (4). pp. 528-541. ISSN 1063-6706 doi: https://doi.org/10.1109/tfuzz.2003.814842

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C.J. (2000) Generalized neurofuzzy network modeling algorithms using Bezier-Bernstein polynomial functions and additive decomposition. IEEE Transactions on Neural Networks, 11 (4). pp. 889-902. ISSN 1045-9227 doi: https://doi.org/10.1109/72.857770

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harris, C.J. (2005) Neurofuzzy model construction, design and estimation. In: Ruano, A. E. (ed.) Intelligent Control Systems using Computational Intelligence Techniques. IEE Publishing, London UK, 219 - 252.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Harwin, W.S. ORCID: https://orcid.org/0000-0002-3928-3381 (2006) Finding the point on Bezier Curves with the normal vector passing an external point. International Journal of Modelling Identification and Control, 1 (4). doi: https://doi.org/10.1504/IJMIC.2006.012620

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Junbin, G. (2016) A fast algorithm to estimate the square root of probability density function. In: AI2016, Thirty-sixth SGAI International Conference on Artificial Intelligence,, Dec,13-15, 2016, Cambridge.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Mitchell, R. J. (2007) Backward elimination model construction for regression and classification using leave-one-out criteria. International Journal of Systems Science, 38 (2). pp. 101-113. ISSN 0020-7721 doi: https://doi.org/10.1080/00207720601051463

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Mitchell, R. J. (2007) Hammerstein model identification algorithm using Bezier-Bernstein approximation. IET Control Theory and Applications, 1 (4). pp. 1149-1159. ISSN 1751-8644 doi: https://doi.org/10.1049/iet-cta:20060018

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Mitchell, R.J. (2006) Bezier-Bernstein polynomial based Hammerstein model and identification algorithm - Paper ID23. In: International Control Conference, 30 Aug - 01 Sept 2006, Glasgow, United Kingdom.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Mitchell, R.J. (2006) A pole assignment controller for Bezier-Bernstein polynomial based Hammerstein model - Paper ID 95. In: Proc Control 2006, Glasgow, United Kingdom.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298 and Zhu, Q. M. (2009) An on-line algorithm of uncertain time delay estimation in a continuous system. In: 2009 IEEE International Conference on Networking, Sensing and Control, Vols 1 and 2. IEEE International Conference on Networking, Sensing and Control. IEEE, New York, pp. 498-501. ISBN 9781424434916

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Brown, M. and Chen, S. (2004) Backward elimination methods for associative memory network pruning. International Journal of Hybrid Intelligent Systems, 1 (1-2). pp. 90-98.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Brown, M., Chen, S. and Harris, C. J. (2004) Sparse model identification using orthogonal forward regression with basis pursuit and D-optimality. IEE Proceedings-Control Theory and Applications, 151 (4). pp. 491-498. ISSN 1350-2379 doi: https://doi.org/10.1049/ip-cta:20040693

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Brown, M., Harris, C.J. and Chen, S. (2003) An orthogonal forward regression algorithm combined with basis pursuit and D-optimality. IEEE SMC UK&RI Chapter Workshop: Cybernetic Intelligence-Challenges and Advances. pp. 57-62.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Sharkey, P. M. (2004) Automatic Kernel Regression Modelling using Combined Leave-One-Out Test Score and Regularised Orthogonal Least Squares. International Journal of Neural Systems, 14 (1). pp. 27-37.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Becerra, V. (2016) Sparse density estimator with tunable kernels. Neurocomputing, 173 (3). pp. 1976-1982. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2015.08.021

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. (2012) Using zero-norm constraint for sparse probability density function estimation. International Journal of Systems Science, 43 (11). pp. 2107-2113. ISSN 0020-7721 doi: https://doi.org/10.1080/00207721.2011.564673

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. (2007) A sparse kernel density estimation algorithm using forward constrained regression. In: Huang, D. S., Heutte, L. and Loog, M. (eds.) Advanced Intelligent Computing Theories and Applications - with Aspects of Contemporary Intelligent Computing Techniques. Communications in Computer and Information Science, 2. Springer-Verlag Berlin, pp. 1354-1363. ISBN 9783540742814

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2008) A-optimality orthogonal forward regression algorithm using branch and bound. IEEE Transactions on Neural Networks, 19 (11). pp. 1961-1967. ISSN 1045-9227 doi: https://doi.org/10.1109/tnn.2008.2003251

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2014) B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels. In: 2014 International Joint Conference on Neural Networks (IJCNN), July 6-11, 2014, Beijing, China.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2013) Complex-valued B-spline neural networks for modeling and inverse of Wiener systems. In: Hirose, A. (ed.) Complex-valued neural networks: advances and applications. Wiley-IEEE press, Hoboken, pp. 209-233. ISBN 9781118344606

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2013) Complex-valued b-spline neural networks for modelling and inverse of wiener systems. In: Hirose, A. (ed.) Complex-Valued Neural Networks: Advances and Applications. John Wiley & Sons, Hoboken, NJ, pp. 209-233. doi: https://doi.org/10.1002/9781118590072.ch9

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2012) Construction of radial basis function networks with diversified topologies. In: Wang, L. and Garnier, H. (eds.) System identification, environmental modelling, and control system design. Springer, London, pp. 251-270. ISBN 9780857299734 doi: https://doi.org/10.1007/978-0-85729-974-1_13

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2013) Elastic-net prefiltering for two-class classification. IEEE Transactions on Cybernetics, 43 (1). pp. 286-295. ISSN 2168-2267 doi: https://doi.org/10.1109/TSMCB.2012.2205677

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2006) Fast kernel classifier construction using orthogonal forward selection to minimise leave-one-out misclassification rate. Lecture Notes in Computer Science, 4113. pp. 106-114. ISSN 0302-9743 9783540372714 doi: https://doi.org/10.1007/11816157_11

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2012) Modelling and inverting complex-valued Wiener systems. In: International Joint Conference on Neural Networks, 10-15 June 2012, Brisbane, Australia.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2010) Sparse kernel density estimation technique based on zero-norm constraint. In: The 2010 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 3782-3787. ISBN 9781424469161 doi: https://doi.org/10.1109/IJCNN.2010.5596853

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2008) A fast linear-in-the-parameters classifier construction algorithm using orthogonal forward selection to minimize leave-one-out misclassification rate. International Journal of Systems Science, 39 (2). pp. 119-125. ISSN 0020-7721 doi: https://doi.org/10.1080/00207720701727822

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C. J. (2008) A forward-constrained regression algorithm for sparse kernel density estimation. IEEE Transactions on Neural Networks, 19 (1). pp. 193-198. ISSN 1045-9227 doi: https://doi.org/10.1109/tnn.2007.908645

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S. and Harris, C.J. (2007) A kernel-based two-class classifier for imbalanced data sets. IEEE Transactions on Neural Networks, 18 (1). pp. 28-41. ISSN 1045-9227 doi: https://doi.org/10.1109/TNN.2006.882812

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S., Gao, J. and Harris, C. J. (2015) Nonlinear identification using orthogonal forward regression with nested optimal regularization. IEEE Transactions on Cybernetics, 45 (12). pp. 2925-2936. ISSN 2168-2267 doi: https://doi.org/10.1109/TCYB.2015.2389524

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S., Gong, Y. and Harris, C. J. (2014) Nonlinear equalization of Hammerstein OFDM systems. IEEE Transactions on Signal Processing, 62 (21). pp. 5629-5639. ISSN 1053-587X doi: https://doi.org/10.1109/TSP.2014.2355773

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S., Guo, Y. and Gao, J. (2017) l1-norm penalized orthogonal forward regression. International Journal of Systems Science, 48 (10). pp. 2195-2201. ISSN 0020-7721 doi: https://doi.org/10.1080/00207721.2017.1311383

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S., Harris, C. J. and Khalaf, E. F. (2014) Single-carrier frequency domain equalisation for hammerstein communication systems using complex-valued neural networks. IEEE Transactions on Signal Processing, 62 (17). pp. 4467-4478. ISSN 1053-587X doi: https://doi.org/10.1109/TSP.2014.2333555

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S., Qatawneh, A., Daqrouq, K., Sheikh, M. and Morfeq, A. (2013) Sparse probability density function estimation using the minimum integrated square error. Neurocomputing, 114. pp. 122-129. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2013.02.003

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Chen, S., Qatawneh, A., Daqrouq, K., Sheikh, M. and Morfeq, A. (2014) A radial basis function network classifier to maximise leave-one-out mutual information. Applied Soft Computing, 23. pp. 9-18. ISSN 1568-4946 doi: https://doi.org/10.1016/j.asoc.2014.06.003

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Di Fatta, G., Chen, H. and Wang, S. (2018) Sparse least squares support vector regression for nonstationary systems. In: 2018 International Joint Conference on Neural Networks (IJCNN), 8-13 Jul 2018, Rio.

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J. and Chen, S. (2020) Semi-blind joint channel estimation and data detection on sphere manifold for MIMO with high-order QAM signaling. Journal of the Franklin Institute, 357 (9). pp. 5680-5690. ISSN 0016-0032 doi: https://doi.org/10.1016/j.jfranklin.2020.04.009

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J. and Chen, S. (2017) Zero attracting recursive least squares algorithms. IEEE Transactions on Vehicular Technology, 66 (1). 213 -221. ISSN 0018-9545 doi: https://doi.org/10.1109/TVT.2016.2533664

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J., Chen, S. and Harris, C. J. (2013) Particle swarm optimisation assisted classification using elastic net prefiltering. Neurocomputing, 122. pp. 210-220. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2013.06.030

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J., Chen, S. and Zia, T. (2015) Sparse density estimation on the multinomial manifold. IEEE Transactions on Neural Networks and Learning Systems, 26 (11). pp. 2972-2977. ISSN 2162-237X doi: https://doi.org/10.1109/TNNLS.2015.2389273

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J., Jiang, X. and Harris, C. J. (2014) Estimation of Gaussian process regression model using probability distance measures. Systems Science & Control Engineering, 2. pp. 655-663. ISSN 2164-2583 doi: https://doi.org/10.1080/21642583.2014.970731

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J., Jiang, X. and Harris, C. J. (2014) Fast identification algorithms for Gaussian process model. Neurocomputing, 133. pp. 25-31. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2013.11.035

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gao, J., Wei, H., Xiao, J. and Mitchell, R. (2023) Two-step scalable spectral clustering algorithm using landmarks and probability density estimation. Neurocomputing, 519. pp. 173-186. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2022.11.063

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Gong, Y. and Chen, S. (2011) B-spline neural network based digital baseband predistorter solution using the inverse of De Boor algorithm. In: International Joint Conference on Neural Networks (IJCNN 2011), 30 Jul - 5 Aug 2011, San Jose, California, USA, pp. 30-36.

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Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Harris, C. J. and Wilson, P. A. (1999) Neurofuzzy state identification using prefiltering. IEE Proceedings-Control Theory and Applications, 146 (2). pp. 234-240. ISSN 1350-2379 doi: https://doi.org/10.1049/ip-cta:19990121

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Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Iplikci, S., Chen, S. and Warwick, K. (2012) B-spline neural networks based PID controller for Hammerstein systems. In: Huang, D.-S., Gupta, P., Zhang, X. and Premaratne, P. (eds.) Emerging Intelligent Computing Technology and Applications. Communications in Computer and Information Science, 304. Springer, pp. 38-46. doi: https://doi.org/10.1007/978-3-642-31837-5_6

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