Recommendation systems: Algorithms, challenges, metrics, and business opportunities Z Fayyaz, M Ebrahimian, D Nawara, A Ibrahim, R Kashef applied sciences 10 (21), 7748, 2020 | 283 | 2020 |
Iot-based recommendation systems–an overview D Nawara, R Kashef 2020 IEEE international IOT, electronics and mechatronics conference …, 2020 | 38 | 2020 |
Context-aware recommendation systems in the IoT environment (IoT-CARS)–A comprehensive overview D Nawara, R Kashef IEEE Access 9, 144270-144284, 2021 | 29 | 2021 |
IoT text analytics in smart education and beyond DNRK Abdul Hanan Khan Mohammed, Hrag-Harout Jebamikyous Journal of Computing in Higher Education, 2021 | 28 | 2021 |
Iot cyber-attack detection: A comparative analysis AH K. Mohammed, H Jebamikyous, D Nawara, R Kashef International Conference on Data Science, E-learning and Information Systems …, 2021 | 17 | 2021 |
Iot-based recommendation systems–an overview. In 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)(pp. 1-7) D Nawara, R Kashef IEEE, 2020 | 11 | 2020 |
Deploying different clustering techniques on a collaborative-based movie recommender D Nawara, R Kashef 2021 IEEE International Systems Conference (SysCon), 1-6, 2021 | 10 | 2021 |
Connecting the indispensable roles of iot and artificial intelligence in smart cities: a survey H Nguyen, D Nawara, R Kashef Journal of Information and Intelligence, 2024 | 4 | 2024 |
Context-aware recommendation systems using consensus-clustering D Nawara, R Kashef 2022 IEEE International Systems Conference (SysCon), 1-8, 2022 | 4 | 2022 |
Mcars-cc: A salable multicontext-aware recommender system D Nawara, R Kashef IEEE Transactions on Computational Social Systems 11 (1), 612-624, 2022 | 3 | 2022 |
ROBUREC: Building a Robust Recommender using Autoencoders with Anomaly Detection A Aly, D Nawara, R Kashef Proceedings of the International Conference on Advances in Social Networks …, 2023 | | 2023 |