Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks V Behzadan, A Munir International Conference on Machine Learning and Data Mining MLDM 2017, 14, 2017 | 346 | 2017 |
IFCIoT: Integrated Fog Cloud IoT: A novel architectural paradigm for the future Internet of Things A Munir, P Kansakar, SU Khan IEEE Consumer Electronics Magazine 6 (3), 74-82, 2017 | 318 | 2017 |
Technology in the hospitality industry: Prospects and challenges P Kansakar, A Munir, N Shabani IEEE Consumer Electronics Magazine 8 (3), 60-65, 2019 | 167 | 2019 |
Security and privacy issues in intelligent transportation systems: Classification and challenges D Hahn, A Munir, V Behzadan IEEE Intelligent Transportation Systems Magazine 13 (1), 181-196, 2019 | 162 | 2019 |
Situational awareness: techniques, challenges, and prospects A Munir, A Aved, E Blasch AI 3 (1), 55-77, 2022 | 99 | 2022 |
A novel chaotic permutation-substitution image encryption scheme based on logistic map and random substitution J Arif, MA Khan, B Ghaleb, J Ahmad, A Munir, U Rashid, AY Al-Dubai IEEE Access 10, 12966-12982, 2022 | 89 | 2022 |
Whatever does not kill deep reinforcement learning, makes it stronger V Behzadan, A Munir arXiv preprint arXiv:1712.09344, 2017 | 79 | 2017 |
Multi-core embedded wireless sensor networks: Architecture and applications A Munir, A Gordon-Ross, S Ranka IEEE Transactions on Parallel and Distributed Systems 25 (6), 1553-1562, 2013 | 76 | 2013 |
Modeling and analysis of fault detection and fault tolerance in wireless sensor networks A Munir, J Antoon, A Gordon-Ross ACM Transactions on Embedded Computing Systems (TECS) 14 (1), 1-43, 2015 | 75 | 2015 |
PUF-RAKE: A PUF-based robust and lightweight authentication and key establishment protocol MA Qureshi, A Munir IEEE Transactions on Dependable and Secure Computing 19 (4), 2457-2475, 2021 | 73 | 2021 |
Artificial intelligence and data fusion at the edge A Munir, E Blasch, J Kwon, J Kong, A Aved IEEE Aerospace and Electronic Systems Magazine 36 (7), 62-78, 2021 | 69 | 2021 |
Adversarial reinforcement learning framework for benchmarking collision avoidance mechanisms in autonomous vehicles V Behzadan, A Munir IEEE Intelligent Transportation Systems Magazine 13 (2), 236-241, 2019 | 66 | 2019 |
High-performance energy-efficient multicore embedded computing A Munir, S Ranka, A Gordon-Ross IEEE Transactions on Parallel and Distributed Systems 23 (4), 684-700, 2011 | 66 | 2011 |
E-Marketing via augmented reality: A case study in the tourism and hospitality industry N Shabani, A Munir, A Hassan IEEE Potentials 38 (1), 43-47, 2018 | 62 | 2018 |
SIP-based IMS signaling analysis for wimax-3g interworking architectures A Munir, A Gordon-Ross IEEE Transactions on Mobile Computing 9 (5), 733-750, 2010 | 57 | 2010 |
Architecture, classification, and applications of contemporary unmanned aerial vehicles Y Alghamdi, A Munir, HM La IEEE Consumer Electronics Magazine 10 (6), 9-20, 2021 | 55 | 2021 |
An MDP-based application oriented optimal policy for wireless sensor networks A Munir, A Gordon-Ross Proceedings of the 7th IEEE/ACM international conference on Hardware …, 2009 | 50 | 2009 |
Markov modeling of fault-tolerant wireless sensor networks A Munir, A Gordon-Ross 2011 Proceedings of 20th International Conference on Computer Communications …, 2011 | 49 | 2011 |
PUF-IPA: A PUF-based identity preserving protocol for Internet of Things authentication MA Qureshi, A Munir 2020 IEEE 17th annual consumer communications & networking conference (CCNC …, 2020 | 47 | 2020 |
FogSurv: A fog-assisted architecture for urban surveillance using artificial intelligence and data fusion A Munir, J Kwon, JH Lee, J Kong, E Blasch, AJ Aved, K Muhammad IEEE Access 9, 111938-111959, 2021 | 45 | 2021 |