Items where Division is "Department of Computer Science" and Year is 2022

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Number of items: 38.

A

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

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

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. 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)

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

Ashlam, A. A., Badii, A. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2022) A novel approach exploiting machine learning to detect SQLi attacks. In: 5th International Conference on Advanced Systems and Emergent Technologies, 22-25 Mar 2022, Hammamet, Tunisia. doi: https://doi.org/10.1109/IC_ASET53395.2022.9765948

Assaf, O., Di Fatta, G. and Nicosia, G. (2022) Multivariate LSTM for stock market volatility prediction. In: Nicosia, G., Ojha, V., La Malfa, E., La Malfa, G., Jansen, G., Pardalos, P. M., Giuffrida, G. and Umeton, R. (eds.) Machine Learning, Optimization, and Data Science: 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers. Lecture Notes in Computer Science, II (13164). Springer, pp. 531-544. ISBN 978303954697 doi: https://doi.org/10.1007/978-3-030-95470-3_40

B

Boyle, J. ORCID: https://orcid.org/0000-0002-5785-8046, Nawaz, T. and Ferryman, J. ORCID: https://orcid.org/0000-0003-2194-4871 (2022) Using Deep Siamese networks for trajectory analysis to extract motion patterns in videos. Electronics Letters. ISSN 0013-5194 doi: https://doi.org/10.1049/ell2.12460

G

Galea, D. (2022) Meteorological data reduction for tropical cyclones using deep learning techniques. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00108656

Gao, M., Yang, F., Wei, H. and Liu, X. (2022) Individual maize location and height estimation in field from UAV-borne LiDAR and RGB images. Remote Sensing, 14 (10). e2292. ISSN 2072-4292 doi: https://doi.org/10.3390/rs14102292

H

Hallouin, T., Ellis, R. J., Clark, D. B., Dadson, S. J., Hughes, A. G., Lawrence, B. N. ORCID: https://orcid.org/0000-0001-9262-7860, Lister, G. M. S. and Polcher, J. (2022) UniFHy v0.1.1: a community modelling framework for the terrestrial water cycle in Python. Geoscientific Model Development, 15 (24). pp. 9177-9196. ISSN 1991-9603 doi: https://doi.org/10.5194/gmd-15-9177-2022

Hanga, K. M., Kovalchuk, Y. ORCID: https://orcid.org/0000-0003-4306-4680 and Gaber, M. M. (2022) PGraphD*: methods for drift detection and localisation using deep learning modelling of business processes. Entropy, 24 (7). 910. ISSN 1099-4300 doi: https://doi.org/10.3390/e24070910

Hong, S., Yao, F., Ding, Y. and Yang, S.-H. (2022) A hierarchy-based energy-efficient routing protocol for LoRa-Mesh network. IEEE Internet of Things, 9 (22). pp. 23836-22849. ISSN 2327-4662 doi: https://doi.org/10.1109/JIOT.2022.3185619

I

Idrees, M. M. ORCID: https://orcid.org/0000-0002-2572-3251, Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Badii, A. (2022) Adaptive learning with extreme verification latency in non-stationary environments. IEEE Access, 10. pp. 127345-127364. ISSN 2169-3536 doi: https://doi.org/10.1109/access.2022.3225225

K

Kirchhof, J. C., Kusmenko, E., Ritz, J., Rumpe, B., Moin, A., Badii, A., Günnemann, S. and Challenger, M. (2022) MDE for machine learning-enabled software systems: a case study and comparison of MontiAnna & ML-Quadrat. In: MODELS '22: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings. Association for Computing Machinery, New York, pp. 380-387. ISBN 9781450394673 doi: https://doi.org/10.1145/3550356.3561576

Kong, L. ORCID: https://orcid.org/0000-0002-6825-1469, Kumar, A. ORCID: https://orcid.org/0000-0003-1940-0234, Snášel, V. ORCID: https://orcid.org/0000-0002-9600-8319, Das, S. ORCID: https://orcid.org/0000-0001-6843-4508, Krömer, P. ORCID: https://orcid.org/0000-0001-8428-3332 and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2022) CSS–A cheap-surrogate-based selection operator for multi-objective optimization. In: Mernik, M., Eftimov, T. and Črepinšek, M. (eds.) Bioinspired Optimization Methods and Their Applications: 10th International Conference, BIOMA 2022, Maribor, Slovenia, November 17–18, 2022, Proceedings. Lecture Notes in Computer Science, 13627. Springer, Cham, pp. 54-68, X, 277. ISBN 9783031210938 doi: https://doi.org/10.1007/978-3-031-21094-5_5

Kovalchuk, Y. ORCID: https://orcid.org/0000-0003-4306-4680, Budini, E., Cook, R. M. and Walsh, A. (2022) Investigating the relationship between facial mimicry and empathy. Behavioral Sciences, 12 (8). 250. ISSN 2076-328X doi: https://doi.org/10.3390/bs12080250

L

Lester, M. ORCID: https://orcid.org/0000-0002-2323-1771 (2022) Reprobate at ITC 2021: pseudoboolean optimisation for RobinX sports timetabling. In: 13th International Conference on the Practice and Theory of Automated Timetabling - PATAT 2021, 23 Aug 2022 - 26 Aug 2022, Bruges, Belgium, pp. 454-459.

Lester, M. M. ORCID: https://orcid.org/0000-0002-2323-1771 (2022) Pseudo-Boolean optimisation for RobinX sports timetabling. Journal of Scheduling, 25. pp. 287-299. ISSN 1099-1425 doi: https://doi.org/10.1007/s10951-022-00737-7

Li, X., Liang, H., Nagala, S. and Chen, J. (2022) Improving ultrasound image classification with local texture quantisation. In: The International Conference on Acoustics, Speech, & Signal Processing (ICASSP). doi: https://doi.org/10.1109/ICASSP43922.2022.9747883

Li, X., Liang, H., Ryder, C., Jones, R. ORCID: https://orcid.org/0000-0002-9426-727X and Liu, Z. (2022) Attractiveness analysis for health claims on food packages. In: Park, L. A. F., Gomes, H. M., Doborjeh, M., Boo, Y. L., Koh, Y. S., Yanchang, Z., Williams, G. and Simoff, S. (eds.) Data Mining. Communications in Computer and Information Science, 1741. Springer, Singapore, pp. 217-232, 245 pages. ISBN 9789811987458 doi: https://doi.org/10.1007/978-981-19-8746-5_16 (20th Australasian conference, AusDM 2022 Western Sydney, Australia, December 12-15, 2022 Proceedings)

Liang, H. (2022) DRprofiling: deep reinforcement user profiling for recommendations in heterogenous information networks. Transactions on Knowledge and Data Engineering, 34 (4). pp. 1723-1734. ISSN 1558-2191 doi: https://doi.org/10.1109/TKDE.2020.2998695

Liang, H. and Markchom, T. (2022) TNE: a general time-aware network representation learning framework for temporal applications. Knowledge-Based Systems, 240. 108050. ISSN 0950-7051 doi: https://doi.org/10.1016/j.knosys.2021.108050

Liu, X., Yang, F., Wei, H. and Gao, M. (2022) Shadow compensation from UAV images based on texture-preserving local color transfer. Remote Sensing, 14 (19). 4969. ISSN 2072-4292 doi: https://doi.org/10.3390/rs14194969

Liu, X., Yang, F., Wei, H. and Gao, M. (2022) Shadow removal from UAV images based on color and texture equalization compensation of local homogeneous regions. Remote Sensing, 14 (11). e2616. ISSN 2072-4292 doi: https://doi.org/10.3390/rs14112616

M

Moin, A., Challenger, M., Badii, A. and Günnemann, S. (2022) Supporting AI engineering on the IoT edge through model-driven TinyML. In: 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), 27 June 2022 - 01 July 2022, Los Alamitos, CA, pp. 884-893. doi: https://doi.org/10.1109/COMPSAC54236.2022.00140 (ISSN: 0730-3157, ISBN 978166548810-5)

Moin, A., Challenger, M., Badii, A. and Günnemann, S. (2022) Towards model-driven engineering for quantum AI. INFORMATIK 2022, Lecture Notes in Informatics (LNI). pp. 1121-1131. ISSN 1617-5468 doi: https://doi.org/10.18420/inf2022_95

Moin, A. ORCID: https://orcid.org/0000-0002-8484-7836, Challenger, M., Badii, A. and Günnemann, S. (2022) A model-driven approach to machine learning and software modeling for the IoT. Software and Systems Modeling, 21. pp. 987-1014. ISSN 1619-1366 doi: https://doi.org/10.1007/s10270-021-00967-x

Moin, A., Mituca, A., Challenger, M., Badii, A. and Günnemann, S. (2022) ML-Quadrat & DriotData: a model-driven engineering tool and a low-code platform for smart IoT services. In: 2022 IEEE/ACM 44th International Conference on Software Engineering, 22-24 May 2022, Pittsburgh, PA, USA, pp. 144-148. doi: https://doi.org/10.1109/ICSE-Companion55297.2022.9793752

Moin, A., Wattanavaekin, U., Lungu, A., Badii, A., Gunnemann, S. and Challenger, M. (2022) Enabling automated machine learning for model-driven AI engineering. IEEE Software. ISSN 1937-4194 (In Press)