Items where Division is "Department of Computer Science" and Year is 2019Number of items: 73. AAdams, 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: 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: 10.1504/IJBDI.2019.10018592 Al-Dabbagh, A. (2019) The distributed p-median problem in computer networks. PhD thesis, University of Reading. doi: 10.48683/1926.00084947
Al-Khafajiy, M.
Al-Khafajiy, M.
Al-Khafajiy, M.
Al-Khafajiy, M. 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: 10.1007/978-3-030-24311-1_39
Almutairi, M., Stahl, F. Anderson, J. A. D. W. (2019) Foundations of transmathematics. Transmathematica. ISSN 2632-9212 doi: 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: 10.1007/978-3-030-34914-1_6 BBabtie, 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: 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: 10.1007/978-3-030-34356-9_18
Bielik, M., Schneider, S., Kuliga, S., Griego, D., Ojha, V.
Boukadi, K., Faci, N., Maamar, Z., Ugljanin, E., Sellami, M., Baker, T. and Al-Khafajiy, M. CCamara, 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: 10.3390/s19112507 Cane, T. A. (2019) Class-agnostic maritime object detection. PhD thesis, University of Reading. doi: 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: 10.48683/1926.00088337 DDi 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: 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: 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) GGafson, 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: 10.1212/NXI.0000000000000562 H
Haworth, G.
Haworth, G.
Haworth, G.
Haworth, G.
Haworth, G.
Haworth, G.
Haworth, G.
Haworth, G.
Haworth, G.
Haworth, G. 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.
Hu, P., Yang, F., Wei, H.
Hu, P., Yang, F., Wei, H. JJum'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: 10.1145/3303117.3306160 Jumah, N. and Kunkel, J. (2019) Scalable parallelization of stencils using MODA. In: P^3MA workshop, pp. 142-154. doi: 10.1007/978-3-030-34356-9_13 KKhlaifi, 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: 10.5220/0007310802210229
Krabbenbos, J., van den Herik, J. and Haworth, G. Kunkel, J. and Betke, E. (2019) Tracking user-perceived I/O slowdown via probing. In: HPC-IODC workshop, Frankfurt, Germany, pp. 169-182. doi: 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: 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: 10.1016/j.suscom.2019.04.003 LLe, D. T. (2019) Expressive and modular rule-based classifier for data streams. PhD thesis, University of Reading. doi: 10.48683/1926.00085883
Lester, M. 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: 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.
Maamar, Z., Baker, T., Faci, N., Ugljanin, E., Al-Khafajiy, M. 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: 10.1016/j.cpc.2019.07.002
Moodley, P., Rosman, B. and Hong, X.
Müller, K. and Haworth, G.
Müller, K. and Haworth, G. NNath, 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.
Ojha, V. K. PPatané, 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: 10.1007/s10479-018-2865-4 S
Sandin, L. and Haworth, G.
Sandin, L. and Haworth, G.
Sandin, L. and Haworth, G. 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: 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: 10.1109/ICDMW.2019.00074 TTlija, 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: 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: 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: 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. WWattanapanich, C. (2019) Investigation of gait representations and partial body gait recognition. PhD thesis, University of Reading. doi: 10.48683/1926.00084979 Wrench, C. (2019) Expressive prediction and forecasting of alarms within a national telecommunications network. PhD thesis, University of Reading. doi: 10.48683/1926.00086163 X
Xu, D., Fang, M., Hong, X. Z
Zhang, J., Chen, H., Chen, S. and Hong, X.
Zhang, J., Chen, M., Chen, H., Hong, X. |