Items where Author is "Kolozali, Sefki"
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Article
Wachter, Eduardo Weber and Kasap, Server and Kolozali, Sefki and Zhai, Xiaojun and Ehsan, Shoaib and McDonald-Maier, Klaus (2022) Using Machine Learning for Anomaly Detection on a System-on-Chip under Gamma Radiation. Nuclear Engineering and Technology, 54 (11). pp. 3985-3995. DOI https://doi.org/10.1016/j.net.2022.06.028
Kolozali, Sefki and Bermudez-Edo, Maria and FarajiDavar, Nazli and Barnaghi, Payam and Gao, Feng and Intizar Ali, Muhammad and Mileo, Alessandra and Fischer, Martin and Iggena, Thorben and Kuemper, Daniel and Tonjes, Ralf (2019) Observing the Pulse of a City: A Smart City Framework for Real-time Discovery, Federation, and Aggregation of Data Streams. IEEE Internet of Things Journal, 6 (2). pp. 2651-2668. DOI https://doi.org/10.1109/JIOT.2018.2872606
van den Brink, Linda and Barnaghi, Payam and Tandy, Jeremy and Atemezing, Ghislain A and Atkinson, Rob and Cochrane, Byron and Fathy, Yasmin and García-Castro, Raúl and Haller, Armin and Harth, Andreas and Janowicz, Krzysztof and Kolozali, Sefki and van Leeuwen, Bart and Lefrançois, Maxime and Lieberman, Josh and Perego, Andrea and Le Phuoc, Danh and Roberts, Bill and Taylor, Kerry and Troncy, Raphael (2019) Best Practices for Publishing, Retrieving, and Using Spatial Data on the Web. Semantic Web, 10 (1). pp. 95-114. DOI https://doi.org/10.3233/sw-180305
Quint, Jennifer K and Moore, Elisabeth and Lewis, Adam and Hashmi, Maimoona and Sultana, Kirin and Wright, Mark and Smeeth, Liam and Chatzidiakou, Lia and Jones, Roderic and Beevers, Sean and Kolozali, Sefki and Kelly, Frank and Barratt, Benjamin (2018) Recruitment of patients with Chronic Obstructive Pulmonary Disease (COPD) from the Clinical Practice Research Datalink (CPRD) for research. npj Primary Care Respiratory Medicine, 28 (1). 21-. DOI https://doi.org/10.1038/s41533-018-0089-3
Kolozali, Sefki and Puschmann, Daniel and Bermudez-Edo, Maria and Barnaghi, Payam (2016) On the Effect of Adaptive and Nonadaptive Analysis of Time-Series Sensory Data. IEEE Internet of Things Journal, 3 (6). pp. 1084-1098. DOI https://doi.org/10.1109/JIOT.2016.2553080
Monograph
Farajidavar, Nazli and Kolozali, Sefki and Barnaghi, Payam (2017) A Deep Multi-View Learning Framework for City Event Extraction from Twitter Data Streams. Working Paper. Arxiv.