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Akramul Azim
Akramul Azim
Associate Professor in Software Engineering, Ontario Tech University, Canada
Verified email at ontariotechu.ca - Homepage
Title
Cited by
Cited by
Year
Improving the schedulability of real-time tasks using fog computing
K Fizza, N Auluck, A Azim
IEEE Transactions on Services Computing 15 (1), 372-385, 2019
722019
Hybrid LEACH: A relay node based low energy adaptive clustering hierarchy for wireless sensor networks
A Azim, MM Islam
2009 IEEE 9th Malaysia International Conference on Communications (MICC …, 2009
422009
A dynamic round-time based fixed low energy adaptive clustering hierarchy for wireless sensor networks
A Azim, MM Islam
2009 IEEE 9th Malaysia International Conference on Communications (MICC …, 2009
302009
Hierarchical attention-based anomaly detection model for embedded operating systems
MO Ezeme, QH Mahmoud, A Azim
2018 IEEE 24th International Conference on Embedded and Real-Time Computing …, 2018
282018
Semantics-preserving implementation of synchronous specifications over dynamic TDMA distributed architectures
D Potop-Butucaru, A Azim, S Fischmeister
Proceedings of the tenth ACM international conference on Embedded software …, 2010
252010
Dream: deep recursive attentive model for anomaly detection in kernel events
OM Ezeme, QH Mahmoud, A Azim
IEEE Access 7, 18860-18870, 2019
242019
A systematic review of fault injection attacks on IOT systems
A Gangolli, QH Mahmoud, A Azim
Electronics 11 (13), 2023, 2022
222022
DTS: dynamic TDMA scheduling for networked control systems
X Chen, A Azim, X Liu, S Fischmeister, J Ma
Journal of Systems Architecture 60 (2), 194-205, 2014
212014
A Relay Node Based Hybrid Low Energy Adaptive Clustering Hierarchy for Wireless Sensor Networks
A Azim, MM Islam
International Journal of Energy, Information & Communications 3 (3), 41-54, 2012
212012
Energy-efficient offloading of real-time tasks using cloud computing
S Elashri, A Azim
Cluster Computing 23 (4), 3273-3288, 2020
192020
Extending resources for avoiding overloads of mixed‐criticality tasks in cyber‐physical systems
MA Maruf, A Azim
IET Cyber‐Physical Systems: Theory & Applications 5 (1), 60-70, 2020
192020
A layer-partitioning approach for faster execution of neural network-based embedded applications in edge networks
D Saguil, A Azim
IEEE Access 8, 59456-59469, 2020
152020
Faster ota updates in smart vehicles using fog computing
K Fizza, N Auluck, A Azim, MA Maruf, A Singh
Proceedings of the 12th IEEE/ACM International Conference on Utility and …, 2019
152019
Efficient jammed area mapping in wireless sensor networks
A Azim, S Mahiba, TAK Sabbir, S Ahmad
IEEE Embedded Systems Letters 6 (4), 93-96, 2014
152014
Faster fog computing based over-the-air vehicular updates: A transfer learning approach
M Al Maruf, A Singh, A Azim, N Auluck
IEEE Transactions on Services Computing 15 (6), 3245-3259, 2021
132021
Design and development of AD-CGAN: Conditional generative adversarial networks for anomaly detection
OM Ezeme, QH Mahmoud, A Azim
IEEE Access 8, 177667-177681, 2020
132020
An imputation-based augmented anomaly detection from large traces of operating system events
M Ezeme, A Azim, QH Mahmoud
Proceedings of the Fourth IEEE/ACM International Conference on Big Data …, 2017
122017
Generation of communication schedules for multi-mode distributed real-time applications
A Azim, G Carvajal, R Pellizzoni, S Fischmeister
2014 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2014
122014
A framework for anomaly detection in time-driven and event-driven processes using kernel traces
OM Ezeme, QH Mahmoud, A Azim
IEEE Transactions on Knowledge and Data Engineering 34 (1), 1-14, 2020
112020
Time-efficient offloading for machine learning tasks between embedded systems and fog nodes
D Saguil, A Azim
2019 IEEE 22nd International Symposium on Real-Time Distributed Computing …, 2019
112019
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