Items where Division is "Department of Computer Science" and Year is 2018
Number of items: 54. Al Ghamdi, S. (2018) Efficient clustering techniques for big data. PhD thesis, University of Reading. doi: https://doi.org/10.48683/1926.00084926
Al-Khafajiy, M.
Al-Khafajiy, M. 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 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
Alsultan, A., Warwick, K. and Wei, H.
Alyami, R. and Wei, H. Ayiad, M. M. and Di Fatta, G. (2018) Agreement in epidemic data aggregation. In: The 23rd IEEE International Conference on Parallel and Distributed Systems (ICPADS), Dec. 15-17, 2017, Shenzhen, China. Ayiad, M. M. and Di Fatta, G. (2018) Robust epidemic aggregation under churn. In: The 10th International Conference on Internet and Distributed Computing System 2017 (IDCS 2017), 11 -13 December 2017, Mana Island Resort & Spa, Fiji, pp. 173-185.
Balaji, V., Taylor, K. E., Juckes, M., Lawrence, B. N. Betke, E. and Kunkel, J. (2018) Benefit of DDN's IME-FUSE for I/O intensive HPC applications. In: Workshop on Performance and Scalability of Storage Systems, 24-28 June 2018, Frankfurt, Germany, pp. 131-144. (ISBN 9783030024642) Cane, T. and Ferryman, J. (2018) Evaluating deep semantic segmentation networks for object detection in maritime surveillance. In: 15th IEEE International Conference on Advanced Video and Signal-based Surveillance, 27-30 Nov 2018, Auckland, New Zealand, pp. 1-6.
Espuny-Pujol, F. Gafson, A. R., Thorne, T., McKechnie, C. I. J., Jimenez, B., Nicholas, R. and Matthews, P. M. (2018) Lipoprotein markers associated with disability from multiple sclerosis. Scientific Reports, 8. 17026. ISSN 2045-2322 doi: https://doi.org/10.1038/s41598-018-35232-7 Giasemidis, G. and Vukadinovic Greetham, D. (2018) Optimising parameters in recurrence quantification analysis of smart energy systems. In: 9th International Conference on Information, Intelligence, Systems and Applications (IISA2018), 23-25 July 2015, Zakynthos, Greece.
Hammoodi, M. S., Stahl, F.
Haworth, G.
Haworth, G.
Hong, X.
Katten, E. and Wei, H. Katti, A., Di Fatta, G., Naughton, T. and Engelmann, C. (2018) Epidemic failure detection and consensus for extreme parallelism. International Journal of High Performance Computing Applications, 32 (5). pp. 729-743. ISSN 1094-3420 doi: https://doi.org/10.1177/1094342017690910
Krabbenbos, J., Herik, J. v. d. and Haworth, G.
Krabbenbos, J., van den Herik, J. and Haworth, G.
Krabbenbos, J., van den Herik, J. and Haworth, G.
Krabbenbos, J., van den Herik, J. and Haworth, G.
Krabbenbos, J., van den Herik, J. and Haworth, G. Kunkel, J. and Dolz, M. F. (2018) Understanding hardware and software metrics with respect to power consumption. Sustainable Computing: Informatics and Systems, 17. pp. 43-54. ISSN 2210-5379 doi: https://doi.org/10.1016/j.suscom.2017.10.016 Kunkel, J. M. and Markomanolis, G. S. (2018) Understanding metadata latency with MDWorkbench. In: Workshop on Performance and Scalability of Storage Systems, 24-28 June 2018, Frankfurt, Germany, pp. 75-88. (ISBN 9783030024642) Kunkel, J. M., Betke, E., Bryson, M., Carns, P., Francis, R., Frings, W., Laifer, R. and Mendez, S. (2018) Tools for analyzing parallel I/O. In: HPC I/O in the Data Center Workshop, 24-28 June 2018, Frankfurt, Germany, pp. 49-70. (ISBN 9783030024642)
Lawrence, B. N. Leppänen, T., Savaglio, C., Lovén, L., Russo, W., Di Fatta, G., Riekki, J. and Fortino, G. (2018) Developing agent-based smart objects for IoT edge computing: mobile crowdsensing use case. In: 11th International Conference on Internet and Distributed Computing Systems (IDCS 2018), 11-13 October 2018, Tokyo, Japan, pp. 235-247. Liu, K., Zhang, R., Yin, L., Sun, L., Pan, X., Hou, L., Shang, X. and Yang, X. (2018) Medical service unity: an effective approach for medical care in rural areas in China. Rural and Remote Health, 18 (3). 4483. ISSN 1445-6354 doi: https://doi.org/10.22605/RRH4483 Lüttgau, J. and Kunkel, J. (2018) Cost and performance modeling for Earth system data management and beyond. In: HPC I/O in the Data Center Workshop, 24-28 June 2018, Frankfurt, Germany, pp. 23-35. (ISBN 9783030024642) Lüttgau, J., Kuhn, M., Duwe, K., Alforov, Y., Betke, E., Kunkel, J. and Ludwig, T. (2018) Survey of storage systems for high-performance computing. Supercomputing Frontiers and Innovations, 5 (1). ISSN 2313-8734 doi: https://doi.org/10.14529/jsfi180103 Lüttgau, J., Snyder, S., Carns, P., Wozniak, J. M., Kunkel, J. and Ludwig, T. (2018) Toward understanding I/O behavior in HPC workflows. In: PDSW-DISCS, 12 November 2018, Dallas, Texas, pp. 64-75.
Maamar, Z., Baker, T., Faci, N., Ugljanin, E., Atif, Y., Al-Khafajiy, M.
Maamar, Z., Boukadi, K., Ugljanin, E., Baker, T., Asim, M., Al-Khafajiy, M. Mitchell, R. J. (2018) Using ‘begin robotics' in undergraduate teaching. In: 2018 UKACC 12th International Conference on Control (CONTROL), 5-7 Sep 2018, Sheffield, UK, pp. 444-449.
Ojha, V.
Ojha, V. K.
Ojha, V. K. Patanè, A., Santoro, A., Romano, V., Magna, A. L. and Nicosia, G. (2018) Enhancing quantum efficiency of thin-film silicon solar cells by Pareto optimality. Journal of Global Optimization, 72 (3). pp. 491-515. ISSN 0925-5001 doi: https://doi.org/10.1007/s10898-018-0639-9
Raoult, B., Di Fatta, G., Pappenberger, F. and Lawrence, B. Raval, R. K. (2018) Content driven energy efficiency analysis of hardware accelerated spatial filters for digital image processing. PhD thesis, University of Reading. Santoro, A., Latora, V., Nicosia, G. and Nicosia, V. (2018) Pareto optimality in multilayer network growth. Physical Review Letters, 121 (12). 128302. ISSN 0031-9007 doi: https://doi.org/10.1103/PhysRevLett.121.128302 Sequeira, A., Chen, L., Ferryman, J., Galdi, C., Chiesa, V., Dugelay, J.-L., Maik, P., Gmitrowicz, P., Szklarski, L., Prommegger, B., Kauba, C., Kirchgasser, S., Uhl, A., Grudzie, A. and Kowalski, M. (2018) PROTECT Multimodal DB: fusion evaluation on a novel multimodal biometrics dataset envisaging Border Control. In: 2018 International Conference of the Biometrics Special Interest Group (BIOSIG), 26-28 September 2018, Darmstadt, Germany, pp. 1-5.
Song, X., Jiang, X., Gao, J., Cai, Z. and Hong, X. Tennant, M. (2018) A parallel data stream classification technique for high velocity data streams. PhD thesis, University of Reading. Thorne, T. (2018) Approximate inference of gene regulatory network models from RNA-Seq time series data. BMC Bioinformatics, 19. 127. ISSN 1471-2105 doi: https://doi.org/10.1186/s12859-018-2125-2 Torres, R., Kunkel, J. M., Dolz, M. F. and Ludwig, T. (2018) Comparison of Clang Abstract Syntax Trees using string kernels. In: CADO 2018, 16-20 July, Orleans, France, pp. 106-113.
Treffers-Daller, J.
Zhou, K., Wang, X., Wang, Z., Wei, H.
Zhou, K., Wang, X., Wei, H. |