| 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 | 154 | 2017 |
| 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 | 111 | 2017 |
| 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 | 100 | 2011 |
| 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 | 95 | 2018 |
| 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 | 78 | 2015 |
| 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 | 49 | 2015 |
| 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 | 48 | 2015 |
| 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 | 40 | 2018 |
| 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 | 28 | 2019 |
| 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 | 23 | 2022 |
| 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 | 7 | 2019 |
| 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 | 4 | 2021 |
| Extracting Knowledge from Raw IoT Data Streams A Akbar PQDT-Global, 2017 | 2 | 2017 |
| 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 | 1 | 2021 |
| 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 | 1 | 2019 |
| 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 |
Klaus MoessnerProfessor in Communications Engineering, TU Chemnitz and Professor @ University of SurreyVerified email at etit.tu-chemnitz.de
