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ORCIDJamal Bentahar
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- affiliation: Concordia University, Montreal, Canada
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2020 – today
- 2025
[j110]Ibrahim Babiker, Jamal Bentahar
, Wen-Fang Xie:
Dandelion center detection in perennial ryegrass with Heat maps using Convolutional Neural Networks. Appl. Soft Comput. 169: 112576 (2025)- [j109]Shayan Nejadshamsi, Jamal Bentahar, Ursula Eicker, Chun Wang, Faezeh Jamshidi:
A geographic-semantic context-aware urban commuting flow prediction model using graph neural network. Expert Syst. Appl. 261: 125534 (2025) - [j108]Ahmed Alagha, Rabeb Mizouni, Shakti Singh, Jamal Bentahar, Hadi Otrok:
Adaptive target localization under uncertainty using Multi-Agent Deep Reinforcement Learning with knowledge transfer. Internet Things 29: 101447 (2025) - [j107]Mario Chahoud, Azzam Mourad, Hadi Otrok, Jamal Bentahar, Mohsen Guizani:
Trust driven On-Demand scheme for client deployment in Federated Learning. Inf. Process. Manag. 62(3): 103991 (2025) - 2024
- [j106]Narges Baharloo, Jamal Bentahar, Ghalya Alwhishi, Nagat Drawel, Witold Pedrycz:
Verifying trust over IoT-ad hoc network-based applications under uncertainty. Ad Hoc Networks 154: 103380 (2024) - [j105]Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Ahmed Saleh Bataineh:
Trust-driven reinforcement selection strategy for federated learning on IoT devices. Computing 106(4): 1273-1295 (2024) - [j104]Hani Sami, Ahmad Hammoud, Mohamad Arafeh, Mohamad Wazzeh, Sarhad Arisdakessian, Mario Chahoud, Osama Wehbi, Mohamad Ajaj, Azzam Mourad, Hadi Otrok, Omar Abdel Wahab, Rabeb Mizouni, Jamal Bentahar, Chamseddine Talhi, Zbigniew Dziong, Ernesto Damiani, Mohsen Guizani:
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions. IEEE Commun. Surv. Tutorials 26(4): 2914-2960 (2024) - [j103]Saidul Islam, Hanae Elmekki, Ahmed Elsebai, Jamal Bentahar, Nagat Drawel, Gaith Rjoub, Witold Pedrycz:
A comprehensive survey on applications of transformers for deep learning tasks. Expert Syst. Appl. 241: 122666 (2024) - [j102]Narges Baharloo, Jamal Bentahar, Nagat Drawel, Witold Pedrycz:
Model checking combined trust and commitments in Multi-Agent Systems. Expert Syst. Appl. 243: 122856 (2024) - [j101]Ghalya Alwhishi, Jamal Bentahar, Ahmed Elwhishi, Witold Pedrycz:
MV-Checker: A software tool for multi-valued model checking intelligent applications with trust and commitment. Expert Syst. Appl. 245: 123113 (2024) - [j100]Hani Sami, Rabeb Mizouni, Hadi Otrok, Shakti Singh, Jamal Bentahar, Azzam Mourad:
LearnChain: Transparent and cooperative reinforcement learning on Blockchain. Future Gener. Comput. Syst. 150: 255-271 (2024) - [j99]Ghalya Alwhishi, Jamal Bentahar, Ahmed Elwhishi, Witold Pedrycz, Nagat Drawel:
Multi-valued model checking IoT and intelligent systems with commitment protocols in multi-source data environments. Inf. Fusion 102: 102048 (2024) - [j98]Ghalya Alwhishi, Jamal Bentahar, Ahmed Elwhishi, Witold Pedrycz:
Multi-valued verification of commitment systems with uncertainty and inconsistency in multi-source data settings. Inf. Fusion 111: 102502 (2024) - [j97]Ahmed Alagha, Jamal Bentahar, Hadi Otrok, Shakti Singh, Rabeb Mizouni:
Blockchain-Assisted Demonstration Cloning for Multiagent Deep Reinforcement Learning. IEEE Internet Things J. 11(5): 7710-7723 (2024) - [j96]Amine Andam, Jamal Bentahar, Mustapha Hedabou:
Multimodal Deep Reinforcement Learning for Visual Security of Virtual Reality Applications. IEEE Internet Things J. 11(24): 39890-39900 (2024) - [j95]Ahmed Alagha, Hadi Otrok, Shakti Singh, Rabeb Mizouni, Jamal Bentahar:
Blockchain-based crowdsourced deep reinforcement learning as a service. Inf. Sci. 679: 121107 (2024) - [j94]Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Robin Cohen, Ahmed Saleh Bataineh:
Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection. Inf. Syst. Frontiers 26(4): 1261-1278 (2024) - [j93]Nagat Drawel, Amine Laarej, Jamal Bentahar, Mohamed El-Menshawy:
Corrigendum to "Transformation-based model checking temporal trust in multi-agent systems" [Journal of Systems and Software Volume 192, October 2022, 111383]. J. Syst. Softw. 213: 112052 (2024) - [c135]Tsega Weldu Araya, Muhammad Azam, Nizar Bouguila, Jamal Bentahar:
Multivariate Bounded Support Kotz Mixture Model with Minimum Message Length Criterion. ISNCC 2024: 1-6 - [i13]Gaith Rjoub, Saidul Islam, Jamal Bentahar, Mohammed Amin Almaiah, Rana Al-Rawashdeh:
Enhancing IoT Intelligence: A Transformer-based Reinforcement Learning Methodology. CoRR abs/2404.04205 (2024) - [i12]Mario Chahoud, Azzam Mourad, Hadi Otrok, Jamal Bentahar, Mohsen Guizani:
Trust Driven On-Demand Scheme for Client Deployment in Federated Learning. CoRR abs/2405.00395 (2024) - [i11]Mario Chahoud, Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar, Mohsen Guizani:
On-Demand Model and Client Deployment in Federated Learning with Deep Reinforcement Learning. CoRR abs/2405.07175 (2024) - [i10]Saidul Islam, Gaith Rjoub, Hanae Elmekki, Jamal Bentahar, Witold Pedrycz, Robin Cohen:
Machine Learning Innovations in CPR: A Comprehensive Survey on Enhanced Resuscitation Techniques. CoRR abs/2411.03131 (2024) - [i9]Saidul Islam, Jamal Bentahar, Robin Cohen, Gaith Rjoub:
A Multi-Modal Unsupervised Machine Learning Approach for Biomedical Signal Processing in CPR. CoRR abs/2411.11869 (2024) - 2023
- [j92]Abdeladim Sadiki, Jamal Bentahar, Rachida Dssouli, Abdeslam En-Nouaary, Hadi Otrok:
Deep reinforcement learning for the computation offloading in MIMO-based Edge Computing. Ad Hoc Networks 141: 103080 (2023) - [j91]Mona Taghavi, Jamal Bentahar, Hadi Otrok, Kaveh Bakhtiyari:
A reinforcement learning model for the reliability of blockchain oracles. Expert Syst. Appl. 214: 119160 (2023) - [j90]Anahita Mazloomi, Hani Sami, Jamal Bentahar, Hadi Otrok, Azzam Mourad:
Reinforcement Learning Framework for Server Placement and Workload Allocation in Multiaccess Edge Computing. IEEE Internet Things J. 10(2): 1376-1390 (2023) - [j89]Ahmed Alagha, Rabeb Mizouni, Jamal Bentahar, Hadi Otrok, Shakti Singh:
Multiagent Deep Reinforcement Learning With Demonstration Cloning for Target Localization. IEEE Internet Things J. 10(15): 13556-13570 (2023) - [j88]Mario Chahoud, Hani Sami, Azzam Mourad, Safa Otoum, Hadi Otrok, Jamal Bentahar, Mohsen Guizani:
On-Demand-FL: A Dynamic and Efficient Multicriteria Federated Learning Client Deployment Scheme. IEEE Internet Things J. 10(18): 15822-15834 (2023) - [j87]Hani Sami, Hadi Otrok, Jamal Bentahar, Azzam Mourad, Ernesto Damiani:
Reward shaping using convolutional neural network. Inf. Sci. 648: 119481 (2023) - [j86]Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar:
Combining Knowledge Graph and Word Embeddings for Spherical Topic Modeling. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3609-3623 (2023) - [j85]Azzam Mourad, Hadi Otrok, Ernesto Damiani, Mérouane Debbah, Nadra Guizani, Shiqiang Wang, Guangjie Han, Rabeb Mizouni, Jamal Bentahar, Chamseddine Talhi:
Guest Editorial: Special Section on the Latest Developments in Federated Learning for the Management of Networked Systems and Resources. IEEE Trans. Netw. Serv. Manag. 20(2): 1441-1445 (2023) - [j84]Hani Sami, Reem Saado, Ahmad El Saoudi, Azzam Mourad, Hadi Otrok, Jamal Bentahar:
Opportunistic UAV Deployment for Intelligent On-Demand IoV Service Management. IEEE Trans. Netw. Serv. Manag. 20(3): 3428-3442 (2023) - [j83]Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Alyssa Song, Robin Cohen, Hadi Otrok, Azzam Mourad:
A Survey on Explainable Artificial Intelligence for Cybersecurity. IEEE Trans. Netw. Serv. Manag. 20(4): 5115-5140 (2023) - [c134]Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab:
Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning. IWCMC 2023: 524-529 - [c133]Mario Chahoud, Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar, Mohsen Guizani:
Towards On-Demand Deployment of Multiple Clients and Heterogeneous Models in Federated Learning. IWCMC 2023: 1556-1561 - [c132]Ghalya Alwhishi, Jamal Bentahar, Ahmed Elwhishi:
Multi-valued Model Checking A Smart Glucose Monitoring System with Trust. IWCMC 2023: 1697-1702 - [c131]Mounia Elqortobi, Amine Rahj, Jamal Bentahar:
Granular Traceability Between Requirements and Test Cases for Safety-Critical Software Systems. MobiWIS 2023: 202-220 - [e5]Irfan Awan, Muhammad Younas, Jamal Bentahar, Salima Benbernou:
The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022), Rome, Italy, 22-24 August 2022. Lecture Notes in Networks and Systems 541, Springer 2023, ISBN 978-3-031-16034-9 [contents] - [i8]Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Alyssa Song, Robin Cohen, Hadi Otrok, Azzam Mourad:
A Survey on Explainable Artificial Intelligence for Network Cybersecurity. CoRR abs/2303.12942 (2023) - [i7]Hani Sami, Ahmad Hammoud, Mohamad Arafeh, Mohamad Wazzeh, Sarhad Arisdakessian, Mario Chahoud, Osama Wehbi, Mohamad Ajaj, Azzam Mourad, Hadi Otrok, Omar Abdel Wahab, Rabeb Mizouni, Jamal Bentahar, Chamseddine Talhi, Zbigniew Dziong, Ernesto Damiani, Mohsen Guizani:
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions. CoRR abs/2304.09240 (2023) - [i6]Saidul Islam, Hanae Elmekki, Ahmed Elsebai, Jamal Bentahar, Nagat Drawel, Gaith Rjoub, Witold Pedrycz:
A Comprehensive Survey on Applications of Transformers for Deep Learning Tasks. CoRR abs/2306.07303 (2023) - 2022
- [j82]Nagat Drawel, Jamal Bentahar, Amine Laarej, Gaith Rjoub:
Formal verification of group and propagated trust in multi-agent systems. Auton. Agents Multi Agent Syst. 36(1): 19 (2022) - [j81]Ahmed Alagha, Shakti Singh, Rabeb Mizouni, Jamal Bentahar, Hadi Otrok:
Target localization using Multi-Agent Deep Reinforcement Learning with Proximal Policy Optimization. Future Gener. Comput. Syst. 136: 342-357 (2022) - [j80]Omar Abdel Wahab, Gaith Rjoub, Jamal Bentahar, Robin Cohen:
Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems. Inf. Sci. 601: 189-206 (2022) - [j79]Hani Sami, Jamal Bentahar, Azzam Mourad, Hadi Otrok, Ernesto Damiani:
Graph convolutional recurrent networks for reward shaping in reinforcement learning. Inf. Sci. 608: 63-80 (2022) - [j78]Nagat Drawel, Amine Laarej, Jamal Bentahar, Mohamed El-Menshawy:
Transformation-based model checking temporal trust in multi-agent systems. J. Syst. Softw. 192: 111383 (2022) - [j77]Ahmed Saleh Bataineh, Jamal Bentahar, Rabeb Mizouni, Omar Abdel Wahab, Gaith Rjoub, May El Barachi:
Cloud Computing as a Platform for Monetizing Data Services: A Two-Sided Game Business Model. IEEE Trans. Netw. Serv. Manag. 19(2): 1336-1350 (2022) - [j76]Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar:
Demand-Driven Deep Reinforcement Learning for Scalable Fog and Service Placement. IEEE Trans. Serv. Comput. 15(5): 2671-2684 (2022) - [c130]Jamal Bentahar, Nagat Drawel, Abdeladim Sadiki:
Quantitative Group Trust: A Two-Stage Verification Approach. AAMAS 2022: 100-108 - [c129]Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Nagat Drawel:
One-Shot Federated Learning-based Model-Free Reinforcement Learning. DBB 2022: 39-52 - [c128]Ghalya Alwhishi, Jamal Bentahar, Ahmed Elwhishi:
Three-Valued Model Checking Smart Contract Systems with Trust Under Uncertainty. DBB 2022: 119-133 - [c127]Ghalya Alwhishi, Jamal Bentahar, Ahmed Elwhishi:
Verifying Timed Commitment Specifications for IoT-Cloud Systems with Uncertainty. FiCloud 2022: 173-180 - [c126]Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar:
Embedded Spherical Topic Models for Supervised Learning. ICPR 2022: 1650-1656 - [c125]Ghalya Alwhishi, Jamal Bentahar, Nagat Drawel:
Reasoning about Uncertainty over IoT Systems. IWCMC 2022: 306-311 - [c124]Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab:
Explainable AI-based Federated Deep Reinforcement Learning for Trusted Autonomous Driving. IWCMC 2022: 318-323 - [c123]Gaith Rjoub, Jamal Bentahar, Y A Joarder:
Active Federated YOLOR Model for Enhancing Autonomous Vehicles Safety. MobiWIS 2022: 49-64 - [c122]Ghalya Alwhishi, Nagat Drawel, Jamal Bentahar:
Model Checking Intelligent Information Systems with 3-Valued Timed Commitments. MobiWIS 2022: 237-251 - [c121]Hafsa Ennajari, Nizar Bouguila, Jamal Bentahar:
Knowledge-enhanced Spherical Representation Learning for Text Classification. SDM 2022: 639-647 - [i5]Anahita Mazloomi, Hani Sami, Jamal Bentahar, Hadi Otrok, Azzam Mourad:
Reinforcement Learning Framework for Server Placement and Workload Allocation in Multi-Access Edge Computing. CoRR abs/2203.07998 (2022) - [i4]Hani Sami, Hadi Otrok, Jamal Bentahar, Azzam Mourad, Ernesto Damiani:
Reward Shaping Using Convolutional Neural Network. CoRR abs/2210.16956 (2022) - [i3]Mario Chahoud, Hani Sami, Azzam Mourad, Safa Otoum, Hadi Otrok, Jamal Bentahar, Mohsen Guizani:
ON-DEMAND-FL: A Dynamic and Efficient Multi-Criteria Federated Learning Client Deployment Scheme. CoRR abs/2211.02906 (2022) - 2021
- [j75]Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Ahmed Saleh Bataineh:
Deep and reinforcement learning for automated task scheduling in large-scale cloud computing systems. Concurr. Comput. Pract. Exp. 33(23) (2021) - [j74]Afaf Mousa, Jamal Bentahar, Omar Alam:
Multi-dimensional trust for context-aware services computing. Expert Syst. Appl. 172: 114592 (2021) - [j73]Khalid Sultan, Jamal Bentahar, Hamdi Yahyaoui, Rabeb Mizouni:
Model checking agent-based communities against uncertain group commitments and knowledge. Expert Syst. Appl. 177: 114792 (2021) - [j72]Omar Abdel Wahab, Jamal Bentahar, Hadi Otrok, Azzam Mourad:
Resource-Aware Detection and Defense System against Multi-Type Attacks in the Cloud: Repeated Bayesian Stackelberg Game. IEEE Trans. Dependable Secur. Comput. 18(2): 605-622 (2021) - [j71]Rashid Hussain Khokhar, Farkhund Iqbal, Benjamin C. M. Fung, Jamal Bentahar:
Enabling Secure Trustworthiness Assessment and Privacy Protection in Integrating Data for Trading Person-Specific Information. IEEE Trans. Engineering Management 68(1): 149-169 (2021) - [j70]Hani Sami, Hadi Otrok, Jamal Bentahar, Azzam Mourad:
AI-Based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach. IEEE Trans. Netw. Serv. Manag. 18(3): 3527-3540 (2021) - [c120]Ahmed Saleh Bataineh, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Gaith Rjoub:
Cloud as platform for monetizing complementary data for AI-driven services: A two-sided cooperative game. SCC 2021: 443-449 - [c119]Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Ahmed Saleh Bataineh:
Improving Autonomous Vehicles Safety in Snow Weather Using Federated YOLO CNN Learning. MobiWIS 2021: 121-134 - [e4]Jamal Bentahar, Irfan Awan, Muhammad Younas, Tor-Morten Grønli:
Mobile Web and Intelligent Information Systems - 17th International Conference, MobiWIS 2021, Virtual Event, August 23-25, 2021, Proceedings. Lecture Notes in Computer Science 12814, Springer 2021, ISBN 978-3-030-83163-9 [contents] - [i2]Ahmed Saleh Bataineh, Jamal Bentahar, Rabeb Mizouni, Omar Abdel Wahab, Gaith Rjoub, May El Barachi:
Cloud computing as a platform for monetizing data services: A two-sided game business model. CoRR abs/2104.12762 (2021) - 2020
- [j69]Mounia Elqortobi, Warda El-Khouly, Amine Rahj, Jamal Bentahar, Rachida Dssouli:
Verification and testing of safety-critical airborne systems: A model-based methodology. Comput. Sci. Inf. Syst. 17(1): 271-292 (2020) - [j68]Ehsan Khosrowshahi Asl, Jamal Bentahar, Rebeca Estrada, Hadi Otrok, Rabeb Mizouni, Babak Khosravifar:
Dynamic formation of service communities in the cloud under distribution and incomplete information settings. Concurr. Comput. Pract. Exp. 32(1) (2020) - [j67]Warda El Kholy, Mohamed El-Menshawy, Jamal Bentahar, Mounia Elqortobi, Amine Laarej, Rachida Dssouli:
Model checking intelligent avionics systems for test cases generation using multi-agent systems. Expert Syst. Appl. 156: 113458 (2020) - [j66]Mona Taghavi, Jamal Bentahar, Hadi Otrok:
Two-stage game theoretical framework for IaaS market share dynamics. Future Gener. Comput. Syst. 102: 173-189 (2020) - [j65]Nagat Drawel, Hongyang Qu, Jamal Bentahar, Elhadi M. Shakshuki:
Specification and automatic verification of trust-based multi-agent systems. Future Gener. Comput. Syst. 107: 1047-1060 (2020) - [j64]Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab:
BigTrustScheduling: Trust-aware big data task scheduling approach in cloud computing environments. Future Gener. Comput. Syst. 110: 1079-1097 (2020) - [j63]Ahmed Saleh Bataineh, Rabeb Mizouni, Jamal Bentahar, May El Barachi:
Toward monetizing personal data: A two-sided market analysis. Future Gener. Comput. Syst. 111: 435-459 (2020) - [j62]Ahmad Hammoud, Hani Sami, Azzam Mourad, Hadi Otrok, Rabeb Mizouni, Jamal Bentahar:
AI, Blockchain, and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions. IEEE Internet Things Mag. 3(2): 68-73 (2020) - [j61]Omar Abdel Wahab, Robin Cohen, Jamal Bentahar, Hadi Otrok, Azzam Mourad, Gaith Rjoub:
An endorsement-based trust bootstrapping approach for newcomer cloud services. Inf. Sci. 527: 159-175 (2020) - [j60]Omar Abdel Wahab, Jamal Bentahar, Hadi Otrok, Azzam Mourad:
Optimal Load Distribution for the Detection of VM-Based DDoS Attacks in the Cloud. IEEE Trans. Serv. Comput. 13(1): 114-129 (2020) - [j59]Mona Taghavi, Jamal Bentahar, Hadi Otrok, Kaveh Bakhtiyari:
A Blockchain-Based Model for Cloud Service Quality Monitoring. IEEE Trans. Serv. Comput. 13(2): 276-288 (2020) - [j58]Rebeca Estrada, Rabeb Mizouni, Hadi Otrok, Anis Ouali, Jamal Bentahar:
A Crowd-Sensing Framework for Allocation of Time-Constrained and Location-Based Tasks. IEEE Trans. Serv. Comput. 13(5): 769-785 (2020) - [c118]Nagat Drawel, Jamal Bentahar, Hongyang Qu:
Computationally Grounded Quantitative Trust with Time. AAMAS 2020: 1837-1839 - [c117]Ahmed Saleh Bataineh, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Gaith Rjoub:
A Game-Based Secure Trading of Big Data and IoT Services: Blockchain as a Two-Sided Market. ICSOC 2020: 85-100 - [c116]Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Ahmed Saleh Bataineh:
A Trust and Energy-Aware Double Deep Reinforcement Learning Scheduling Strategy for Federated Learning on IoT Devices. ICSOC 2020: 319-333 - [c115]Nagat Drawel, Jamal Bentahar, Amine Laarej, Gaith Rjoub:
Formalizing Group and Propagated Trust in Multi-Agent Systems. IJCAI 2020: 60-66 - [c114]Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar:
FScaler: Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning. IWCMC 2020: 1824-1829 - [c113]Mounia Elqortobi, Amine Rahj, Jamal Bentahar, Rachida Dssouli:
Test Generation Tool for Modified Condition/Decision Coverage: Model Based Testing. SITA 2020: 38:1-38:6 - [i1]Omar Abdel Wahab, Jamal Bentahar, Robin Cohen, Hadi Otrok, Azzam Mourad:
A two-level solution to fight against dishonest opinions in recommendation-based trust systems. CoRR abs/2006.04803 (2020)
2010 – 2019
- 2019
- [j57]Imran Sarwar Bajwa, Anna Helena Reali Costa, Jamal Bentahar:
Introduction to the Special Section on Artificial Intelligence for Smart Systems. Comput. Electr. Eng. 79 (2019) - [j56]Afaf Mousa, Jamal Bentahar, Omar Alam:
Context-aware composite SaaS using feature model. Future Gener. Comput. Syst. 99: 376-390 (2019) - [j55]Ahmad Hammoud, Hadi Otrok, Azzam Mourad, Omar Abdel Wahab, Jamal Bentahar:
On the Detection of Passive Malicious Providers in Cloud Federations. IEEE Commun. Lett. 23(1): 64-67 (2019) - [j54]Nader Kesserwan, Rachida Dssouli, Jamal Bentahar, Bernard Stepien, Pierre Labrèche:
From use case maps to executable test procedures: a scenario-based approach. Softw. Syst. Model. 18(2): 1543-1570 (2019) - [j53]Jie Zhang, Jamal Bentahar, Rino Falcone, Timothy J. Norman, Murat Sensoy:
Introduction to the Special Section on Trust and AI. ACM Trans. Internet Techn. 19(4) (2019) - [c112]Afaf Mousa, Jamal Bentahar, Omar Alam:
Dependency Network-based Trust Management for Context-Aware Web Services. ANT/EDI40 2019: 583-590 - [c111]Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Ahmed Saleh Bataineh:
Deep Smart Scheduling: A Deep Learning Approach for Automated Big Data Scheduling Over the Cloud. FiCloud 2019: 189-196 - 2018
- [j52]Mona Taghavi, Jamal Bentahar, Kaveh Bakhtiyari, Chihab Hanachi:
New Insights Towards Developing Recommender Systems. Comput. J. 61(3): 319-348 (2018) - [j51]Mohamed El-Menshawy, Jamal Bentahar, Warda El Kholy, Amine Laarej:
Model checking real-time conditional commitment logic using transformation. J. Syst. Softw. 138: 189-205 (2018) - [j50]Omar Abdel Wahab, Jamal Bentahar, Hadi Otrok, Azzam Mourad:
Towards Trustworthy Multi-Cloud Services Communities: A Trust-Based Hedonic Coalitional Game. IEEE Trans. Serv. Comput. 11(1): 184-201 (2018) - [c110]Nagat Drawel, Jamal Bentahar, Mohamed El-Menshawy, Amine Laarej:
Verifying Temporal Trust Logic using CTL Model Checking. TRUST@AAMAS 2018: 62-74 - [c109]Afaf Mousa, Jamal Bentahar, Omar Alam:
Multi-Objective Self-Adaptive Composite SaaS Using Feature Model. FiCloud 2018: 77-84 - [c108]Jamal Bentahar:
Keynote II. FNC/MobiSPC 2018: 7-8 - [c107]Mona Taghavi, Jamal Bentahar, Hadi Otrok, Kaveh Bakhtiyari:
Cloudchain: A Blockchain-Based Coopetition Differential Game Model for Cloud Computing. ICSOC 2018: 146-161 - [c106]Mounia Elqortobi, Warda El-Khouly, Amine Rahj, Jamal Bentahar, Rachida Dssouli:
Model-Based Verification and Testing Methodology for Safety-Critical Airborne Systems. MEDI Workshops 2018: 63-74 - 2017
- [j49]Rachida Dssouli, Ahmed Khoumsi, Mounia Elqortobi, Jamal Bentahar:
Chapter Three - Testing the Control-Flow, Data-Flow, and Time Aspects of Communication Systems: A Survey. Adv. Comput. 107: 95-155 (2017) - [j48]