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Items where Division is "Department of Computer Science" and Year is 2019

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Number of items: 73.

A

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

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-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., 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., 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., 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., 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

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

Almutairi, M., Stahl, F. 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.

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

Ayiad, M. M. and Di Fatta, G. (2019) An adaptive restart mechanism for continuous epidemic systems. In: International Conference on Internet and Distributed Computing Systems, 10-12 October, Naples, Italy, pp. 57-68. doi: https://doi.org/10.1007/978-3-030-34914-1_6

B

Babtie, A. C., Stumpf, M. P. H. and Thorne, T. (2019) Gene regulatory network inference. In: Voit, E. (ed.) Reference Module in Biomedical Sciences. Elsevier. doi: https://doi.org/10.1016/B978-0-12-801238-3.11346-7

Badii, A. and Khan, W. (2019) Pathological gait abnormality detection and segmentation by processing the hip joints motion data to support mobile gait rehabilitation. Research in Medical & Engineering Sciences, 7 (3). pp. 754-762. ISSN 2576-8816

Betke, E. and Kunkel, J. (2019) Footprinting parallel I/O – machine learning to classify application’s I/O behavior. In: HPC IODC workshop, pp. 214-226. doi: https://doi.org/10.1007/978-3-030-34356-9_18

Bielik, M., Schneider, S., Kuliga, S., Griego, D., Ojha, V., König, R., Schmitt, G. and Donath, D. (2019) Examining trade-offs between social, psychological, and energy potential of urban form. ISPRS International Journal of Geo-Information, 8 (2). 52. ISSN 2220-9964 doi: https://doi.org/10.3390/ijgi8020052

Boukadi, K., Faci, N., Maamar, Z., Ugljanin, E., Sellami, M., Baker, T. and Al-Khafajiy, M. (2019) Norm-based and commitment-driven agentification of the Internet of Things. Internet of Things, 6. 100042. ISSN 2542-6605 doi: https://doi.org/10.1016/j.iot.2019.02.002

C

Camara, C., Subramaniyam, N. P., Warwick, K., Parkkonen, L., Aziz, T. and Pereda, E. (2019) Non-linear dynamical analysis of resting tremor for demand-driven deep brain stimulation. Sensors, 19 (11). 2507. ISSN 1424-8220 doi: https://doi.org/10.3390/s19112507

Cane, T. A. (2019) Class-agnostic maritime object detection. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00088725

Cavalcanti das Neves Valle, L. H. (2019) Dialogues in cybernetics: a model for understanding critical thinking construction in the digital age. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00088337

D

Di Fatta, G. (2019) Association rules and frequent patterns. In: Ranganathan, S., Nakai, K. and Schonbach, C. (eds.) Encyclopedia of Bioinformatics and Computational Biology. Elsevier, pp. 367-373. ISBN 9780128114322 doi: https://doi.org/10.1016/B978-0-12-809633-8.20333-6

Dyankov, D., Riccio, S. D., Di Fatta, G. and Nicosia, G. (2019) Multi-task learning by pareto optimality. In: Machine Learning, Optimization, and Data Science. LOD 2019. Lecture Notes in Computer Science (11943). Springer, pp. 605-618. ISBN 9783030375997 doi: https://doi.org/10.1007/978-3-030-37599-7_50

dos Reis, T. S. and Anderson, J. (2019) Integral on transcomplex numbers. In: World Congress on Engineering 2019, 3-5 July 2019, London, UK, pp. 90-94. (ISBN 9789881404862)

G

Gafson, A. R., Savva, C., Thorne, T., David, M. J., Gomez-Romero, M., Lewis, M. R., Nicholas, R., Nicholson, J., Heslegrave, A., Zetterberg, H. and Matthews, P. M. (2019) Breaking the cycle: reversal of flux in the tricarboxylic acid cycle by dimethyl fumarate. Neurology: Neuroimmunology & Neuroinflammation, 6 (3). e562. ISSN 2332-7812 doi: https://doi.org/10.1212/NXI.0000000000000562

H

Haworth, G. (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. (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. (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. 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. 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. 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. 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. 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. 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. 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

Hofbauer, H., Jalilian, E., Sequeira, A., Ferryman, J. and Uhl, A. (2019) Mobile NIR iris recognition: identifying problems and solutions. In: Proceedings of the IEEE 9th International Conference on Biometrics: Theory, Applications, and Systems (BTAS2018), 22nd October 2018, Los Angeles, USA, pp. 1-9.

Hong, X., Mitchell, R. and Di Fatta, G. (2019) Simplex basis function based sparse least squares support vector regression. Neurocomputing, 330. pp. 394-402. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2018.11.025

Hu, P., Yang, F., Wei, H., Ji, L. and Liu, D. (2019) A multi-algorithm block fusion method based on set-valued mapping for dual-modal infrared images. Infrared Physics & Technology, 102. 102977. ISSN 1350-4495 doi: https://doi.org/10.1016/j.infrared.2019.102977

Hu, P., Yang, F., Wei, H., Ji, L. and Wang, X. (2019) Research on constructing difference-features to guide the fusion of dual-modal infrared images. Infrared Physics & Technology, 102 (1). 102994. ISSN 1350-4495 doi: https://doi.org/10.1016/j.infrared.2019.102994

J

Jum'ah, N. and Kunkel, J. (2019) Performance portability of Earth system models with user-controlled GGDML code translation. In: Third International Workshop on Performance Portable Programming Models for Accelerators, 24-28 June 2018, Frankfurt, Germany, pp. 693-710. (ISBN 9783030024642)

Jumah, N. and Kunkel, J. (2019) Automatic vectorization of stencil codes with the GGDML language extensions. In: Workshop on Programming Models for SIMD/Vector Processing, 2019/02/16, Washington DC, USA, pp. 1-7. doi: https://doi.org/10.1145/3303117.3306160

Jumah, N. and Kunkel, J. (2019) Scalable parallelization of stencils using MODA. In: P^3MA workshop, pp. 142-154. doi: https://doi.org/10.1007/978-3-030-34356-9_13

K

Khlaifi, H., Badii, A., Istrate, D. and Demongeot, J. (2019) Automatic detection and recognition of swallowing sounds. In: Moucek, R., Fred, A. and Gamboa, H. (eds.) Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies. SciTePress, Prague, Czech Republic, pp. 221-229. ISBN 9789897583537 doi: https://doi.org/10.5220/0007310802210229

Krabbenbos, J., van den Herik, J. and Haworth, G. (2019) WCSC 2018: the 8th world chess software championship. ICGA Journal, 40 (3). pp. 194-206. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190079

Kunkel, J. and Betke, E. (2019) Tracking user-perceived I/O slowdown via probing. In: HPC-IODC workshop, Frankfurt, Germany, pp. 169-182. doi: https://doi.org/10.1007/978-3-030-34356-9_15

Kunkel, J., Himstedt, K., Hübbe, N., Stüben, H., Schröder, S., Kuhn, M., Riebisch, M., Olbrich, S., Ludwig, T., Filinger, W., Acquaviva, J.-T., Gerbes, A. and Lafayette, L. (2019) Towards an HPC certification program. Journal of Computational Science Education, 10 (1). pp. 88-89. ISSN 2153-4136 doi: https://doi.org/10.22369/issn.2153-4136/10/1/14

Kunkel, J. M., Shoukourian, H., Heidari, R. and Wilde, T. (2019) Interference of billing and scheduling strategies for energy and cost savings in modern data centers. Sustainable Computing: Informatics and Systems, 23. pp. 49-66. ISSN 2210-5379 doi: https://doi.org/10.1016/j.suscom.2019.04.003

L

Le, D. T. (2019) Expressive and modular rule-based classifier for data streams. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00085883

Lester, M. ORCID: https://orcid.org/0000-0002-2323-1771 (2019) Analysis of MiniJava programs via translation to ML. In: FTfJP '19: Proceedings of the 21st Workshop on Formal Techniques for Java-like Programs, 15th Jul 2019, London. doi: https://doi.org/10.1145/3340672.3341119

Li, L., Nawaz, T. and Ferryman, J. (2019) Performance analysis and formative assessment of visual trackers using PETS critical infrastructure surveillance datasets. Journal of Electronic Imaging, 28 (04). 043004. ISSN 1560-229X doi: https://doi.org/10.1117/1.jei.28.4.043004

Liyanagunawardena, T. R., Lundqvist, K., Mitchell, R., Warburton, S. and Williams, S. A. (2019) A MOOC taxonomy based on classification schemes of MOOCs. European Journal of Open, Distance and E-Learning, 22 (1). pp. 85-103. ISSN 1027-5207

M

Maamar, Z., Baker, T., Faci, N., Al-Khafajiy, M., Ugljanin, E., Atif, Y. and Sellami, M. (2019) Weaving cognition into the internet-of-things: application to water leaks. Cognitive Systems Research, 56. pp. 233-245. ISSN 1389-0417 doi: https://doi.org/10.1016/j.cogsys.2019.04.001

Maamar, Z., Baker, T., Faci, N., Ugljanin, E., Al-Khafajiy, M. and Burégio, V. (2019) Towards a seamless coordination of cloud and fog: illustration through the internet-of-things. In: 34th ACM/SIGAPP Symposium on Applied Computing, 8-12 Apr 2019, Limassol, Cyprus, pp. 2008-2015. doi: https://doi.org/10.1145/3297280.3297477

Maynard, C. M. and Walters, D. N. (2019) Mixed-precision arithmetic in the ENDGame dynamical core of the Unified model, a numerical weather prediction and climate model code. Computer Physics Communications, 244. pp. 69-75. ISSN 0010-4655 doi: https://doi.org/10.1016/j.cpc.2019.07.002

Moodley, P., Rosman, B. and Hong, X. (2019) Understanding structure of concurrent actions. In: AI-2019: The Thirty-ninth SGAI International Conference, 17-19 Dec 2019, Cambridge, UK, pp. 78-90.

Müller, K. and Haworth, G. (2019) Chess endgame news: the world chess championship, 2018. ICGA Journal, 40 (4). pp. 369-371. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190086

Müller, K. and Haworth, G. (2019) FinalGen revisited: new discoveries. ICGA Journal, 41 (1). pp. 53-60. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190095

N

Nath, R. and Manjunathaiah, M. (2019) Sparse feature extraction model with independent subspace analysis. In: 4th International Conference, LOD 2018, 13-16 Sep 2019, Volterra, Italy, pp. 494-505.

O

Ojha, V., Abraham, A. and Snášel, V. (2019) Heuristic design of fuzzy inference systems: a review of three decades of research. Engineering Applications of Artificial Intelligence, 85. pp. 845-864. ISSN 0952-1976 doi: https://doi.org/10.1016/j.engappai.2019.08.010

Ojha, V. K., Griego, D., Kuliga, S., Bielik, M., Bus, P., Schaeben, C., Treyer, L., Standfest, M., Schneider, S., König, R., Donath, D. and Schmitt, G. (2019) Machine learning approaches to understand the influence of urban environments on human’s physiological response. Information Sciences, 474. pp. 154-169. ISSN 0020-0255 doi: https://doi.org/10.1016/j.ins.2018.09.061

P

Patané, A., Jansen, G., Conca, P., Carapezza, G., Costanza, J. and Nicosia, G. (2019) Multi-objective optimization of genome-scale metabolic models: the case of ethanol production. Annals of Operations Research, 276 (1-2). pp. 211-227. ISSN 0254-5330 doi: https://doi.org/10.1007/s10479-018-2865-4

S

Sandin, L. and Haworth, G. (2019) The SSDF Chess Engine Rating List, 2019-02. ICGA Journal, 41 (2). 113. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190107

Sandin, L. and Haworth, G. (2019) The SSDF chess engine rating list, 2018-10. ICGA Journal, 40 (4). p. 374. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190085

Sandin, L. and Haworth, G. (2019) The SSDF rating list, 2019-07. ICGA Journal, 41 (3). p. 177. ISSN 1389-6911 doi: https://doi.org/10.3233/ICG-190113

Savaglio, C., Gerace, P., Di Fatta, G. and Fortino, G. (2019) Data mining at the IoT edge. In: 28th International Conference on Computer Communication and Networks, 29 July - 01 Aug 2019, Valencia, Spain. doi: https://doi.org/10.1109/ICCCN.2019.8846941

Song, W., Dai, S., Wang, J., Huang, D., Liotta, A. and Di Fatta, G. (2019) Bi-gradient verification for Grad-CAM towards accurate visual explanation for remote sensing images. In: 2019 International Conference on Data Mining Workshops (ICDMW), 8-11 Nov 2019, Beijing, China, pp. 473-479. doi: https://doi.org/10.1109/ICDMW.2019.00074

T

Tlija, A., Istrate, D., Badii, A., Gattoufi, S., Bennani, A.-e. and Wegrzyn-Wolska, K. (2019) Stress level classification using heart rate variability. Advances in Science, Technology and Engineering Systems Journal, 4 (3). pp. 38-46. ISSN 2415-6698 doi: https://doi.org/10.25046/aj040306

Tomás, D., Gutiérrez, Y., Badii, A., Tiemann, M. and Aisopos, F. (2019) Socialising around media. Improving the second screen experience through semantic analysis, context awareness and dynamic communities. Multimedia Tools and Applications, 78 (18). pp. 25539-25568. ISSN 1573-772 doi: https://doi.org/10.1007/s11042-019-7706-1

Torres, R., Kunkel, J. M., Dolz, M. F. and Ludwig, T. (2019) A similarity study of I/O traces via string kernels. The Journal of Supercomputing, 75 (12). pp. 7814-7826. ISSN 0920-8542 doi: https://doi.org/10.1007/s11227-018-2471-x

Turner, A., Sloan-Murphy, D., Sivalingam, K., Richardson, H. and Kunkel, J. (2019) Analysis of parallel I/O use on the UK national supercomputing service, ARCHER using Cray's LASSi and EPCC SAFE. In: Memory Bound Computing. Cray User Group, 5-9 May 2019, Montréal, Canda.

W

Wattanapanich, C. (2019) Investigation of gait representations and partial body gait recognition. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00084979

Wrench, C. (2019) Expressive prediction and forecasting of alarms within a national telecommunications network. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00086163

X

Xu, D., Fang, M., Hong, X. and Gao, J. (2019) Sparse least squares low rank kernel machines. In: International Conference on Neural Information Processing. Springer, Cham, pp. 395-406. ISBN 9783030367107 doi: https://doi.org/10.1007/978-3-030-36711-4_33

Z

Zhang, J., Chen, H., Chen, S. and Hong, X. (2019) An improved mixture of probabilistic PCA for nonlinear data-driven process monitoring. IEEE Transactions on Cybernetics, 49 (1). pp. 198-210. ISSN 2168-2267 doi: https://doi.org/10.1109/TCYB.2017.2771229

Zhang, J., Chen, M., Chen, H., Hong, X. and Zhou, D. (2019) Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation. Industrial & Engineering Chemistry Research, 58 (14). pp. 5579-5587. ISSN 1520-5045 doi: https://doi.org/10.1021/acs.iecr.8b05875

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