Követés
Adnan Akbar, PhD
Cím
Hivatkozott rá
Hivatkozott rá
Év
Predictive analytics for complex IoT data streams
A Akbar, A Khan, F Carrez, K Moessner
IEEE Internet of Things Journal 4 (5), 1571-1582, 2017
1582017
An ingestion and analytics architecture for iot applied to smart city use cases
P Ta-Shma, A Akbar, G Gerson-Golan, G Hadash, F Carrez, K Moessner
IEEE Internet of Things Journal 5 (2), 765-774, 2017
1132017
Real-time probabilistic data fusion for large-scale IoT applications
A Akbar, G Kousiouris, H Pervaiz, J Sancho, P Ta-Shma, F Carrez, ...
Ieee Access 6, 10015-10027, 2018
982018
Embryo rescue and plant regeneration in banana (Musa spp.)
S Uma, S Lakshmi, MS Saraswathi, A Akbar, MM Mustaffa
Plant Cell, Tissue and Organ Culture (PCTOC) 105, 105-111, 2011
972011
Contextual occupancy detection for smart office by pattern recognition of electricity consumption data
A Akbar, M Nati, F Carrez, K Moessner
2015 IEEE international conference on communications (ICC), 561-566, 2015
802015
Context-aware stream processing for distributed IoT applications
A Akbar, F Carrez, K Moessner, J Sancho, J Rico
2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), 663-668, 2015
502015
Predicting complex events for pro-active IoT applications
A Akbar, F Carrez, K Moessner, A Zoha
2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), 327-332, 2015
482015
An integrated information lifecycle management framework for exploiting social network data to identify dynamic large crowd concentration events in smart cities applications
G Kousiouris, A Akbar, J Sancho, P Ta-Shma, A Psychas, D Kyriazis, ...
Future Generation Computer Systems 78, 516-530, 2018
402018
Sliding window regression based short-term load forecasting of a multi-area power system
IA Khan, A Akber, Y Xu
2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE …, 2019
292019
A transcriptomic study reveals salt stress alleviation in cotton plants upon salt tolerant PGPR inoculation
A Akbar, B Han, AH Khan, C Feng, A Ullah, AS Khan, L He, X Yang
Environmental and Experimental Botany 200, 104928, 2022
272022
On complex event processing for internet of things
A Akbar, SS Chaudhry, A Khan, A Ali, W Rafiq
2019 IEEE 6th International Conference on Engineering Technologies and …, 2019
72019
Identifying cancer drivers using DRIVE: a feature-based machine learning model for a pan-cancer assessment of somatic missense mutations
I Dragomir, A Akbar, JW Cassidy, N Patel, HW Clifford, G Contino
Cancers 13 (11), 2779, 2021
42021
Extracting Knowledge from Raw IoT Data Streams
A Akbar
PQDT-Global, 2017
22017
DRIVE: Machine learning to identify drivers of cancer with High-dimensional genomic data & imputed labels
A Akbar, A Solovyev, JW Cassidy, N Patel, HW Clifford
arXiv preprint arXiv:2105.00469, 2021
12021
Effective sub-clonal cancer representation to predict tumor evolution
A Akbar, G Dubourg-Felonneau, A Solovyev, JW Cassidy, N Patel, ...
arXiv preprint arXiv:1911.12774, 2019
12019
Identifying Cancer Drivers Using DRIVE
I Dragomir, A Akbar, JW Cassidy, N Patel, HW Clifford, G Contino
2021
Al-Kaseem, BR, and Al-Raweshidyhamed, HS, SD-NFV as an Energy Efficient Approach for M2M Networks Using Cloud-Based 6LoWPAN Testbed; JIoT Oct. 2017 1787-1797 Al-Kashoash, HAA …
A Akbar, A Khan, F Carrez, K Moessner
IEEE Internet of Things Journal 4 (6), 2363, 2017
2017
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Cikkek 1–17