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ORCIDAla I. Al-Fuqaha
Ala Al-Fuqaha Senior
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- affiliation: Western Michigan University, MI, USA
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2020 – today
- 2023
[j77]Muhammad Atif Butt, Adnan Qayyum, Hassan Ali, Ala I. Al-Fuqaha, Junaid Qadir:
Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study. Comput. Secur. 125: 103058 (2023)- 2022
- [j76]Mohammed A. Jasim
, Hazim Shakhatreh, Nazli Siasi, Ahmad H. Sawalmeh, Adel Aldalbahi, Ala I. Al-Fuqaha:
A Survey on Spectrum Management for Unmanned Aerial Vehicles (UAVs). IEEE Access 10: 11443-11499 (2022) - [j75]Mohammed Aledhari, Rehma Razzak, Basheer Qolomany, Ala I. Al-Fuqaha, Fahad Saeed:
Biomedical IoT: Enabling Technologies, Architectural Elements, Challenges, and Future Directions. IEEE Access 10: 31306-31339 (2022) - [j74]Khansa Rasheed, Adnan Qayyum, Mohamed Ghaly, Ala I. Al-Fuqaha, Adeel Razi, Junaid Qadir:
Explainable, trustworthy, and ethical machine learning for healthcare: A survey. Comput. Biol. Medicine 149: 106043 (2022) - [j73]Hassan Ali, Muhammad Suleman Khan, Ala I. Al-Fuqaha, Junaid Qadir:
Tamp-X: Attacking explainable natural language classifiers through tampered activations. Comput. Secur. 120: 102791 (2022) - [j72]Kashif Ahmad, Majdi Maabreh, Mohamed Ghaly, Khalil Khan, Junaid Qadir, Ala I. Al-Fuqaha:
Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges. Comput. Sci. Rev. 43: 100452 (2022) - [j71]Abdulaziz Alashaikh, Eisa Alanazi, Ala I. Al-Fuqaha:
A Survey on the Use of Preferences for Virtual Machine Placement in Cloud Data Centers. ACM Comput. Surv. 54(5): 96:1-96:39 (2022) - [j70]Majdi Maabreh, Arwa Maabreh, Basheer Qolomany, Ala I. Al-Fuqaha:
The robustness of popular multiclass machine learning models against poisoning attacks: Lessons and insights. Int. J. Distributed Sens. Networks 18(7): 155013292211051 (2022) - [j69]Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kashif Ahmad, Ala I. Al-Fuqaha, Mohsen Guizani:
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Applications, Techniques, Challenges, and Future Research Directions. IEEE Internet Things J. 9(15): 12861-12885 (2022) - [j68]Abdullatif Albaseer, Mohamed Abdallah, Ala I. Al-Fuqaha, Aiman Erbad, Octavia A. Dobre:
Semi-Supervised Federated Learning Over Heterogeneous Wireless IoT Edge Networks: Framework and Algorithms. IEEE Internet Things J. 9(24): 25626-25642 (2022) - [j67]Junaid Qadir, Mohammad Qamar Islam, Ala I. Al-Fuqaha:
Toward accountable human-centered AI: rationale and promising directions. J. Inf. Commun. Ethics Soc. 20(2): 329-342 (2022) - [j66]Adnan Qayyum, Kashif Ahmad, Muhammad Ahtazaz Ahsan, Ala I. Al-Fuqaha, Junaid Qadir:
Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge. IEEE Open J. Comput. Soc. 3: 172-184 (2022) - [j65]Abdulmalik Alwarafy, Mohamed M. Abdallah, Bekir Sait Ciftler, Ala I. Al-Fuqaha, Mounir Hamdi:
The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions. IEEE Open J. Commun. Soc. 3: 322-365 (2022) - [j64]Syed Zohaib Hassan, Kashif Ahmad, Steven Hicks, Pål Halvorsen, Ala I. Al-Fuqaha, Nicola Conci, Michael Riegler:
Visual Sentiment Analysis from Disaster Images in Social Media. Sensors 22(10): 3628 (2022) - [j63]Umme Ammara, Khansa Rasheed, Athar Mansoor, Ala I. Al-Fuqaha, Junaid Qadir:
Smart Cities from the Perspective of Systems. Syst. 10(3): 77 (2022) - [j62]Inaam Ilahi, Muhammad Usama, Junaid Qadir, Muhammad Umar Janjua, Ala I. Al-Fuqaha, Dinh Thai Hoang, Dusit Niyato:
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning. IEEE Trans. Artif. Intell. 3(2): 90-109 (2022) - [j61]Yin Zhang, Ala I. Al-Fuqaha, Giancarlo Fortino, Limei Peng, Iztok Humar, Hua Wang:
Guest Editorial: Introduction to the Special Section on Advanced Networking Technologies in the Battle Against the Outbreak of Epidemic Diseases. IEEE Trans. Netw. Sci. Eng. 9(1): 245-246 (2022) - [j60]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning. IEEE Trans. Netw. Sci. Eng. 9(5): 3258-3271 (2022) - [c81]Abdullatif Albaseer, Mohamed Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Balanced Energy Consumption Based on Historical Participation of Resource-Constrained Devices in Federated Edge Learning. IWCMC 2022: 300-305 - [c80]Shadha Tabatabai, Ihab Mohammed, Basheer Qolomany, Abdullatif Albaseer, Kashif Ahmad, Mohamed Abdallah, Ala I. Al-Fuqaha:
Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data. IWCMC 2022: 407-412 - [i59]Khubaib Ahmad, Muhammad Asif Ayub, Kashif Ahmad, Jebran Khan, Nasir Ahmad, Ala I. Al-Fuqaha:
Merit-based Fusion of NLP Techniques for Instant Feedback on Water Quality from Twitter Text. CoRR abs/2202.04462 (2022) - [i58]Shadha Tabatabai, Ihab Mohammed, Basheer Qolomany, Abdullatif Albaseer, Kashif Ahmad, Mohamed Abdallah, Ala I. Al-Fuqaha:
Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data. CoRR abs/2204.14020 (2022) - [i57]Senthil Kumar Jagatheesaperumal, Kashif Ahmad, Ala I. Al-Fuqaha, Junaid Qadir:
Advancing Education Through Extended Reality and Internet of Everything Enabled Metaverses: Applications, Challenges, and Open Issues. CoRR abs/2207.01512 (2022) - [i56]Hazim Shakhatreh, Ahmad Sawalmeh, Ali Hamdan Alenezi, Sharief Abdel-Razeq, Muhannad Almutiry, Ala I. Al-Fuqaha:
Mobile-IRS Assisted Next Generation UAV Communication Networks. CoRR abs/2207.03622 (2022) - [i55]Adnan Qayyum, Muhammad Atif Butt, Hassan Ali, Muhammad U. Usman, Osama Halabi, Ala I. Al-Fuqaha, Qammer H. Abbasi, Muhammad Ali Imran, Junaid Qadir:
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses. CoRR abs/2210.13289 (2022) - [i54]Shawqi Al-Maliki, Faissal El Bouanani, Mohamed Abdallah, Junaid Qadir, Ala I. Al-Fuqaha:
Continual Conscious Active Fine-Tuning to Robustify Online Machine Learning Models Against Data Distribution Shifts. CoRR abs/2211.01315 (2022) - 2021
- [j59]Yin Zhang, Ala I. Al-Fuqaha, Iztok Humar, Pasquale Pace:
Editorial: Advances in multi-source information fusion for epidemic diseases. Inf. Fusion 76: 175-176 (2021) - [j58]Basheer Qolomany, Ihab Mohammed, Ala I. Al-Fuqaha, Mohsen Guizani, Junaid Qadir:
Trust-Based Cloud Machine Learning Model Selection for Industrial IoT and Smart City Services. IEEE Internet Things J. 8(4): 2943-2958 (2021) - [j57]Ihab Mohammed, Shadha Tabatabai, Ala I. Al-Fuqaha, Faissal El Bouanani, Junaid Qadir, Basheer Qolomany, Mohsen Guizani:
Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning. IEEE Internet Things J. 8(7): 5938-5952 (2021) - [j56]Naina Said, Kashif Ahmad, Nicola Conci, Ala I. Al-Fuqaha:
Active learning for event detection in support of disaster analysis applications. Signal Image Video Process. 15(6): 1081-1088 (2021) - [j55]Elmehdi Illi, Faissal El Bouanani, Paschalis C. Sofotasios, Sami Muhaidat, Daniel Benevides da Costa, Fouad Ayoub, Ala I. Al-Fuqaha:
Analysis of Asymmetric Dual-Hop Energy Harvesting-Based Wireless Communication Systems in Mixed Fading Environments. IEEE Trans. Green Commun. Netw. 5(1): 261-277 (2021) - [c79]Abdulmalik Alwarafy, Abdullatif Albaseer, Bekir Sait Ciftler, Mohamed Abdallah, Ala I. Al-Fuqaha:
AI-Based Radio Resource Allocation in Support of the Massive Heterogeneity of 6G Networks. 5GWF 2021: 464-469 - [c78]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks. GLOBECOM 2021: 1-6 - [c77]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning. ICC Workshops 2021: 1-6 - [c76]Umme Ammara, Hassan Qudrat-Ullah, Ala I. Al-Fuqaha, Junaid Qadir:
Using the Lens of Systems Thinking To Model Education During and Beyond COVID-19. IWCMC 2021: 2056-2061 - [c75]Khubaib Ahmad, Muhammad Asif Ayub, Kashif Ahmad, Ala I. Al-Fuqaha, Nasir Ahmad:
Deep Models for Visual Sentiment Analysis of Disaster-related Multimedia Content. MediaEval 2021 - [c74]Muhammad Asif Ayub, Khubaib Ahmad, Kashif Ahmad, Nasir Ahmad, Ala I. Al-Fuqaha:
NLP Techniques for Water Quality Analysis in Social Media Content. MediaEval 2021 - [c73]Syed Zohaib Hassan, Kashif Ahmad, Michael Riegler, Steven Hicks, Nicola Conci, Pål Halvorsen, Ala I. Al-Fuqaha:
Visual Sentiment Analysis: A Natural Disaster Use-case Task at MediaEval 2021. MediaEval 2021 - [i53]Adnan Qayyum, Kashif Ahmad, Muhammad Ahtazaz Ahsan, Ala I. Al-Fuqaha, Junaid Qadir:
Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge. CoRR abs/2101.07511 (2021) - [i52]Kashif Ahmad, Firoj Alam, Junaid Qadir, Basheer Qolomany, Imran Khan, Talhat Khan, Muhammad Suleman, Naina Said, Syed Zohaib Hassan, Asma Gul, Ala I. Al-Fuqaha:
Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Apps with a Benchmark Dataset. CoRR abs/2103.01196 (2021) - [i51]Ghezlane Halhoul Merabet, Mohamed Essaaidi, Mohamed Ben Haddou, Basheer Qolomany, Junaid Qadir, Muhammad T. Anan, Ala I. Al-Fuqaha, Mohamed Riduan Abid, Driss Benhaddou:
Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques. CoRR abs/2104.02214 (2021) - [i50]Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kashif Ahmad, Ala I. Al-Fuqaha, Mohsen Guizani:
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions. CoRR abs/2104.02425 (2021) - [i49]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning. CoRR abs/2104.05509 (2021) - [i48]Abdulmalik Alwarafy, Mohamed M. Abdallah, Bekir Sait Ciftler, Ala I. Al-Fuqaha, Mounir Hamdi:
Deep Reinforcement Learning for Radio Resource Allocation and Management in Next Generation Heterogeneous Wireless Networks: A Survey. CoRR abs/2106.00574 (2021) - [i47]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning. CoRR abs/2106.12561 (2021) - [i46]Abdullatif Albaseer, Mohamed M. Abdallah, Ala I. Al-Fuqaha, Aiman Erbad:
Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks. CoRR abs/2108.08768 (2021) - [i45]Imran Khan, Kashif Ahmad, Namra Gul, Talhat Khan, Nasir Ahmad, Ala I. Al-Fuqaha:
Explainable Event Recognition. CoRR abs/2110.00755 (2021) - [i44]Izzat Alsmadi, Kashif Ahmad, Mahmoud Nazzal, Firoj Alam, Ala I. Al-Fuqaha, Abdallah Khreishah, Abdulelah Abdallah Algosaibi:
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions. CoRR abs/2110.13980 (2021) - [i43]Syed Zohaib Hassan, Kashif Ahmad, Michael A. Riegler, Steven Hicks, Nicola Conci, Pål Halvorsen, Ala I. Al-Fuqaha:
Visual Sentiment Analysis: A Natural DisasterUse-case Task at MediaEval 2021. CoRR abs/2111.11471 (2021) - [i42]Muhammad Asif Ayub, Khubaib Ahmad, Kashif Ahmad, Nasir Ahmad, Ala I. Al-Fuqaha:
NLP Techniques for Water Quality Analysis in Social Media Content. CoRR abs/2112.11441 (2021) - [i41]Khubaib Ahmad, Muhammad Asif Ayub, Kashif Ahmad, Ala I. Al-Fuqaha, Nasir Ahmad:
Deep Models for Visual Sentiment Analysis of Disaster-related Multimedia Content. CoRR abs/2112.12060 (2021) - 2020
- [j54]Kashif Ahmad, Khalil Khan, Ala I. Al-Fuqaha:
Intelligent Fusion of Deep Features for Improved Waste Classification. IEEE Access 8: 96495-96504 (2020) - [j53]Lulwa Ahmed, Kashif Ahmad, Naina Said, Basheer Qolomany, Junaid Qadir, Ala I. Al-Fuqaha:
Active Learning Based Federated Learning for Waste and Natural Disaster Image Classification. IEEE Access 8: 208518-208531 (2020) - [j52]Khaled Salah, Ala I. Al-Fuqaha, Mamoun Alazab, Tariq Umer:
Introduction to the special section on recent advances on blockchain infrastructures and applications. Comput. Electr. Eng. 84: 106828 (2020) - [j51]Adnan Qayyum, Muhammad Usama, Junaid Qadir, Ala I. Al-Fuqaha:
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and the Way Forward. IEEE Commun. Surv. Tutorials 22(2): 998-1026 (2020) - [j50]Adnan Qayyum, Aneeqa Ijaz, Muhammad Usama, Waleed Iqbal, Junaid Qadir, Yehia Elkhatib, Ala I. Al-Fuqaha:
Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security. Frontiers Big Data 3: 587139 (2020) - [j49]Anna Wisniewska, Mohammad Abu Shattal, Bilal Khan, Ala I. Al-Fuqaha, Kirk Dombrowski:
From Blindness to Foraging to Sensing to Sociality: an Evolutionary Perspective on Cognitive Radio Networks. Mob. Networks Appl. 25(5): 1902-1914 (2020) - [j48]Muhammad Usama, Junaid Qadir, Ala I. Al-Fuqaha, Mounir Hamdi:
The Adversarial Machine Learning Conundrum: Can the Insecurity of ML Become the Achilles' Heel of Cognitive Networks? IEEE Netw. 34(1): 196-203 (2020) - [j47]Ala I. Al-Fuqaha, Ihab Mohammed, Sayed Jahed Hussini, Sameh Sorour:
Severity-Based Prioritized Processing of Packets with Application in VANETs. IEEE Trans. Mob. Comput. 19(2): 484-496 (2020) - [j46]Ting-Yu Mu, Ala I. Al-Fuqaha, Khaled Salah:
Automating the Configuration of MapReduce: A Reinforcement Learning Scheme. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4183-4196 (2020) - [c72]Shadha Tabatabai, Ihab Mohammed, Ala Al-Fuqaha Senior, Junaid Qadir:
Opportunistic Selection of Vehicular Data Brokers as Relay Nodes to the Cloud. CCNC 2020: 1-6 - [c71]Junaid Qadir, Kok-Lim Alvin Yau, Muhammad Ali Imran, Ala I. Al-Fuqaha:
Engineering Education, Moving into 2020s : Essential Competencies for Effective 21st Century Electrical & Computer Engineers. FIE 2020: 1-9 - [c70]Basheer Qolomany, Kashif Ahmad, Ala I. Al-Fuqaha, Junaid Qadir:
Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services. GLOBECOM 2020: 1-6 - [c69]Abdullatif Albaseer, Bekir Sait Ciftler, Mohamed M. Abdallah, Ala I. Al-Fuqaha:
Exploiting Unlabeled Data in Smart Cities using Federated Edge Learning. IWCMC 2020: 1666-1671 - [c68]Firoj Alam, Zohaib Hassan, Kashif Ahmad, Asma Gul, Michael Reiglar, Nicola Conci, Ala I. Al-Fuqaha:
Flood Detection via Twitter Streams Using Textual and Visual Features. MediaEval 2020 - [c67]Abdullah Hamid, Nasrullah Sheikh, Naina Said, Kashif Ahmad, Asma Gul, Laiq Hasan, Ala I. Al-Fuqaha:
Fake News Detection in Social Media Using Graph Neural Networks and NLP Techniques: A COVID-19 Use-Case. MediaEval 2020 - [c66]Naina Said, Kashif Ahmad, Asma Gul, Nasir Ahmad, Ala I. Al-Fuqaha:
Floods Detection in Twitter Text and Images. MediaEval 2020 - [i40]Abdullatif Albaseer, Bekir Sait Ciftler, Mohamed M. Abdallah, Ala I. Al-Fuqaha:
Exploiting Unlabeled Data in Smart Cities using Federated Learning. CoRR abs/2001.04030 (2020) - [i39]Adnan Qayyum, Junaid Qadir, Muhammad Bilal, Ala I. Al-Fuqaha:
Secure and Robust Machine Learning for Healthcare: A Survey. CoRR abs/2001.08103 (2020) - [i38]Inaam Ilahi, Muhammad Usama, Junaid Qadir, Muhammad Umar Janjua, Ala I. Al-Fuqaha, Dinh Thai Hoang, Dusit Niyato:
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning. CoRR abs/2001.09684 (2020) - [i37]Kashif Ahmad, Syed Zohaib Hassan, Nicola Conci, Ala I. Al-Fuqaha:
Deriving Emotions and Sentiments from Visual Content: A Disaster Analysis Use Case. CoRR abs/2002.03773 (2020) - [i36]Elmehdi Illi, Faissal El Bouanani, Paschalis C. Sofotasios, Sami Muhaidat, Daniel Benevides da Costa, Fouad Ayoub, Ala I. Al-Fuqaha:
Analysis of Asymmetric Dual-Hop Energy Harvesting-Based Wireless Communication Systems in Mixed Fading Environments. CoRR abs/2004.02187 (2020) - [i35]Ghezlane Halhoul Merabet, Mohamed Essaaidi, Mohamed Ben Haddou, Basheer Qolomany, Junaid Qadir, Muhammad T. Anan, Ala I. Al-Fuqaha, Mohamed Riduan Abid, Driss Benhaddou:
Artificial Intelligence-Assisted Energy and Thermal Comfort Control for Sustainable Buildings: An Extended Representation of the Systematic Review. CoRR abs/2006.12559 (2020) - [i34]Basheer Qolomany, Ihab Mohammed, Ala I. Al-Fuqaha, Mohsen Guizani, Junaid Qadir:
Trust-Based Cloud Machine Learning Model Selection For Industrial IoT and Smart City Services. CoRR abs/2008.05042 (2020) - [i33]Basheer Qolomany, Kashif Ahmad, Ala I. Al-Fuqaha, Junaid Qadir:
Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services. CoRR abs/2009.02560 (2020) - [i32]Syed Zohaib Hassan, Kashif Ahmad, Steven Alexander Hicks, Pål Halvorsen, Ala I. Al-Fuqaha, Nicola Conci, Michael Riegler:
Visual Sentiment Analysis from Disaster Images in Social Media. CoRR abs/2009.03051 (2020) - [i31]Ihab Mohammed, Shadha Tabatabai, Ala I. Al-Fuqaha, Faissal El Bouanani, Junaid Qadir, Basheer Qolomany, Mohsen Guizani:
Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning. CoRR abs/2011.09849 (2020) - [i30]Naina Said, Kashif Ahmad, Asma Gul, Nasir Ahmad, Ala I. Al-Fuqaha:
Floods Detection in Twitter Text and Images. CoRR abs/2011.14943 (2020) - [i29]Firoj Alam, Zohaib Hassan, Kashif Ahmad, Asma Gul, Michael Reiglar, Nicola Conci, Ala I. Al-Fuqaha:
Flood Detection via Twitter Streams using Textual and Visual Features. CoRR abs/2011.14944 (2020) - [i28]Abdullah Hamid, Nasrullah Sheikh, Naina Said, Kashif Ahmad, Asma Gul, Laiq Hassan, Ala I. Al-Fuqaha:
Fake News Detection in Social Media using Graph Neural Networks and NLP Techniques: A COVID-19 Use-case. CoRR abs/2012.07517 (2020) - [i27]Kashif Ahmad, Majdi Maabreh, Mohamed Ghaly, Khalil Khan, Junaid Qadir, Ala I. Al-Fuqaha:
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges. CoRR abs/2012.09110 (2020)
2010 – 2019
- 2019
- [j45]Khaled Salah, Muhammad Habib Ur Rehman, Nishara Nizamuddin, Ala I. Al-Fuqaha:
Blockchain for AI: Review and Open Research Challenges. IEEE Access 7: 10127-10149 (2019) - [j44]Hazim Shakhatreh, Ahmad Sawalmeh, Ala I. Al-Fuqaha, Zuochao Dou, Eyad Almaita, Issa Khalil, Noor Shamsiah Othman, Abdallah Khreishah, Mohsen Guizani:
Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges. IEEE Access 7: 48572-48634 (2019) - [j43]Muhammad Usama, Junaid Qadir, Aunn Raza, Hunain Arif, Kok-Lim Alvin Yau, Yehia Elkhatib, Amir Hussain, Ala I. Al-Fuqaha:
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges. IEEE Access 7: 65579-65615 (2019) - [j42]Basheer Qolomany, Ala I. Al-Fuqaha, Ajay Gupta, Driss Benhaddou, Safaa Alwajidi, Junaid Qadir, Alvis Cheuk M. Fong:
Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey. IEEE Access 7: 90316-90356 (2019) - [j41]Omar Darwish, Ala I. Al-Fuqaha, Ghassen Ben Brahim, Ilyes Jenhani, Athanasios V. Vasilakos:
Using hierarchical statistical analysis and deep neural networks to detect covert timing channels. Appl. Soft Comput. 82 (2019) - [j40]Mohammad W. Elbes, Shadi AlZu'bi, Tarek Kanan, Ala I. Al-Fuqaha, Bilal Hawashin:
A survey on particle swarm optimization with emphasis on engineering and network applications. Evol. Intell. 12(2): 113-129 (2019) - [j39]Mohammad W. Elbes, Ahmad Alkhatib, Ala I. Al-Fuqaha, Junaid Qadir:
Using phase shift fingerprints and inertial measurements in support of precise localization in urban areas. Pers. Ubiquitous Comput. 23(5-6): 861-872 (2019) - [j38]Ala I. Al-Fuqaha, Ammar Gharaibeh, Ihab Mohammed, Sayed Jahed Hussini, Abdallah Khreishah, Issa Khalil:
Online Algorithm for Opportunistic Handling of Received Packets in Vehicular Networks. IEEE Trans. Intell. Transp. Syst. 20(1): 285-296 (2019) - [c65]Syed Zohaib Hassan, Kashif Ahmad, Ala I. Al-Fuqaha, Nicola Conci:
Sentiment Analysis from Images of Natural Disasters. ICIAP (2) 2019: 104-113 - [c64]Muhammad Usama, Muhammad Asim, Siddique Latif, Junaid Qadir, Ala I. Al-Fuqaha:
Generative Adversarial Networks For Launching and Thwarting Adversarial Attacks on Network Intrusion Detection Systems. IWCMC 2019: 78-83 - [c63]Muhammad Usama, Adnan Qayyum, Junaid Qadir, Ala I. Al-Fuqaha:
Black-box Adversarial Machine Learning Attack on Network Traffic Classification. IWCMC 2019: 84-89 - [c62]Kashif Ahmad, Konstantin Pogorelov, Mohib Ullah, Michael Riegler, Nicola Conci, Johannes Langguth, Ala I. Al-Fuqaha:
Multi-Modal Machine Learning for Floods Detection in News, Social Media and Satellite Sequences. MediaEval 2019 - [c61]Muhammad Usama, Muhammad Asim, Junaid Qadir, Ala I. Al-Fuqaha, Muhammad Ali Imran:
Adversarial Machine Learning Attack on Modulation Classification. UCET 2019: 1-4 - [c60]Ihab Mohammed, Shadha Tabatabai, Ala I. Al-Fuqaha, Junaid Qadir:
Opportunistic Data Ferrying in Areas with Limited Information and Communications Infrastructure. VTC Fall 2019: 1-6 - [i26]Basheer Qolomany, Ala I. Al-Fuqaha, Ajay Gupta, Driss Benhaddou, Safaa Alwajidi, Junaid Qadir, Alvis Cheuk M. Fong:
Machine Learning, Big Data, And Smart Buildings: A Comprehensive Survey. CoRR abs/1904.01460 (2019) - [i25]Adnan Qayyum, Muhammad Usama, Junaid Qadir, Ala I. Al-Fuqaha:
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward. CoRR abs/1905.12762 (2019) - [i24]Muhammad Usama, Junaid Qadir, Ala I. Al-Fuqaha, Mounir Hamdi:
The Adversarial Machine Learning Conundrum: Can The Insecurity of ML Become The Achilles' Heel of Cognitive Networks? CoRR abs/1906.00679 (2019) - [i23]Ihab Mohammed, Shadha Tabatabai, Ala I. Al-Fuqaha, Junaid Qadir:
Opportunistic Data Ferrying in Areas with Limited Information and Communications Infrastructure. CoRR abs/1906.00850 (2019) - [i22]Muhammad Usama, Junaid Qadir, Ala I. Al-Fuqaha:
Black-box Adversarial ML Attack on Modulation Classification. CoRR abs/1908.00635 (2019) - [i21]Muhammad Usama, Muhammad Asim, Junaid Qadir, Ala I. Al-Fuqaha, Muhammad Ali Imran:
Adversarial Machine Learning Attack on Modulation Classification. CoRR abs/1909.12167 (2019) - [i20]Naina Said, Kashif Ahmad, Nicola Conci, Ala I. Al-Fuqaha:
Active Learning for Event Detection in Support of Disaster Analysis Applications. CoRR abs/1909.12601 (2019) - [i19]Kashif Ahmad, Konstantin Pogorelov, Mohib Ullah, Michael Riegler, Nicola Conci, Johannes Langguth, Ala I. Al-Fuqaha:
Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences. CoRR abs/1910.02932 (2019) - [i18]Syed Zohaib Hassan, Kashif Ahmad, Nicola Conci, Ala I. Al-Fuqaha:
Sentiment Analysis from Images of Natural Disasters. CoRR abs/1910.04416 (2019) - [i17]Shadha Tabatabai, Ihab Mohammed, Ala I. Al-Fuqaha, Junaid Qadir:
Opportunistic Selection of Vehicular Data Brokers as Relay Nodes to the Cloud. CoRR abs/1910.05307 (2019) - 2018
- [j37]Mohammad Abu Shattal, Anna Wisniewska, Ala I. Al-Fuqaha, Bilal Khan, Kirk Dombrowski:
Evolutionary Game Theory Perspective on Dynamic Spectrum Access Etiquette. IEEE Access 6: 13142-13157 (2018) - [j36]Mehdi Mohammadi, Ala I. Al-Fuqaha:
Exploiting the Spatio-Temporal Patterns in IoT Data to Establish a Dynamic Ensemble of Distributed Learners. IEEE Access 6: 63316-63328 (2018) - [j35]Mehdi Mohammadi, Ala I. Al-Fuqaha:
Enabling Cognitive Smart Cities Using Big Data and Machine Learning: Approaches and Challenges. IEEE Commun. Mag. 56(2): 94-101 (2018) - [j34]Mehdi Mohammadi, Ala I. Al-Fuqaha, Sameh Sorour, Mohsen Guizani:
Deep Learning for IoT Big Data and Streaming Analytics: A Survey. IEEE Commun. Surv. Tutorials 20(4): 2923-2960 (2018) - [j33]