| Generative adversarial learning for machine learning empowered self organizing 5G networks B Hughes, S Bothe, H Farooq, A Imran 2019 international conference on computing, networking and communications …, 2019 | 30 | 2019 |
| Coordinated reinforcement learning for optimizing mobile networks M Bouton, H Farooq, J Forgeat, S Bothe, M Shirazipour, P Karlsson arXiv preprint arXiv:2109.15175, 2021 | 19 | 2021 |
| Toward Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework HN Qureshi, U Masood, M Manalastas, SMA Zaidi, H Farooq, J Forgeat, ... IEEE Communications Surveys & Tutorials 25 (3), 1954-1990, 2023 | 10 | 2023 |
| Neuromorphic AI empowered root cause analysis of faults in emerging networks S Bothe, U Masood, H Farooq, A Imran 2020 IEEE International Black Sea Conference on Communications and …, 2020 | 10 | 2020 |
| Which statistical distribution best characterizes modern cellular traffic and what factors could predict its spatiotemporal variability? S Bothe, HN Qureshi, A Imran IEEE Communications Letters 23 (5), 810-813, 2019 | 8 | 2019 |
| Predicting wireless quality of service (qos) for connected vehicles G Kakosyan, U Agarwal, AGIL CASTELLANOS, KC BEDHU, S Bothe US Patent App. 17/996,219, 2023 | 2 | 2023 |
| Coordinated hyper-parameter search for edge machine learning in beyond-5g networks H Farooq, J Forgeat, S Bothe, M Bouton, M Shirazipour, P Karlsson 2021 IEEE International Conference on Communications Workshops (ICC …, 2021 | 2 | 2021 |
| Time-Series Prediction using Nature-Inspired Small Models and Curriculum Learning S Bothe, H Farooq, J Forgeat, K Cyras 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile …, 2023 | 1 | 2023 |
| Edge-distributed coordinated hyper-parameter search for energy saving SON use-case H Farooq, J Forgeat, S Bothe, M Bouton, P Karlsson 2022 IEEE International Conference on Communications Workshops (ICC …, 2022 | 1 | 2022 |
| METHOD FOR IDENTIFYING POTENTIAL MACHINE LEARNING MODEL CANDIDATES TO COLLABORATE IN TELECOM NETWORKS H Farooq, J Forgeat, M Shirazipour, S Bothe US Patent App. 18/247,639, 2024 | | 2024 |
| Automated training of failure diagnosis models for application in self-organizing networks H Farooq, M Bouton, J Forgeat, M Shirazipour, S Bothe US Patent App. 18/552,169, 2024 | | 2024 |
| Multi-Task Learning as enabler for General-Purpose AI-native RAN H Farooq, J Forgeat, S Bothe, K Cyras, M Moin arXiv preprint arXiv:2404.15197, 2024 | | 2024 |
| Decentralized coordinated reinforcement learning for optimizing radio access networks M Bouton, H Farooq, J Forgeat, S Bothe, M Shirazipour US Patent App. 18/255,362, 2024 | | 2024 |
| Method and system for offline modeling for quality of service prediction for connected vehicles G Kakosyan, U Agarwal, AGIL CASTELLANOS, KC BEDHU, S Bothe US Patent App. 17/996,218, 2023 | | 2023 |
| Towards Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework H Naeem Qureshi, U Masood, M Manalastas, SM Asad Zaidi, H Farooq, ... arXiv e-prints, arXiv: 2304.12480, 2023 | | 2023 |
| Decentralized coordinated reinforcement learning for optimizing radio access networks MS Maxime Bouton, Hasan Farooq, Julien FORGEAT, Shruti BOTHE US Patent PCT/IB2020/061,668, 2022 | | 2022 |
| Automated training of failure diagnosis models for application in self-organizing networks SB Hasan Farooq, Maxime Bouton, Julien FORGEAT, Meral Shirazipour US Patent PCT/IB2021/052,662, 2022 | | 2022 |
| Method for identifying potential machine learning model candidates to collaborate in telecom networks SB Hasan Farooq, Julien FORGEAT, Meral Shirazipour US Patent PCT/IB2020/059,438, 2022 | | 2022 |
| Predicting wireless quality of service (qos) for connected vehicles G KAKOSYAN, U AGARWAL, AGIL CASTELLANOS, KC BEDHU, ... US Patent App. 17/996,216, 2021 | | 2021 |
| AI Based Fault Diagnosis in Emerging Cellular Networks S Bothe | | 2019 |
