Saleh Abdullah M Alfahad
Research title: Engineering Edge Computing with Predictive Intelligence
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Research title: Engineering Edge Computing with Predictive Intelligence
Al-Fahad, S., Puthiya Parambath, S. , Anagnostopoulos, C. and Kolomvatsos, K. (2025) Node selection using adversarial expert-based multi-armed bandits in distributed computing. Computing, (Accepted for Publication)
Puthiya Parambath, S. , Anagnostopoulos, C. and Alfahad, S. A. M. (2024) Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration. Data Mining and Knowledge Discovery, (Accepted for Publication)
Puthiya Parambath, S. A. , Al-Fahad, S. A. M., Anagnostopoulos, C. and Kolomvatsos, K. (2024) Sequential Block Elimination for Dynamic Pricing. In: The 2nd International Workshop on Data Mining in Finance (DMF 2024) at the IEEE International Conference on Data Mining, Abu Dhabi, United Arab Emirates, 09-12 Dec 2024, (Accepted for Publication)
Al-Fahad, S., WANG, Q. , Anagnostopoulos, C. and Kolomvatsos, K. (2024) Task offloading in mobile edge computing using cost-based discounted optimal stopping. Open Computer Science, 14(1), 20230115. (doi: 10.1515/comp-2023-0115)
Al-Fahad, S., Puthiya Parambath, S. , Anagnostopoulos, C. and Kolomvatsos, K. (2025) Node selection using adversarial expert-based multi-armed bandits in distributed computing. Computing, (Accepted for Publication)
Puthiya Parambath, S. , Anagnostopoulos, C. and Alfahad, S. A. M. (2024) Thompson sampling-based recursive block elimination for dynamic assignment under limited budget in pure-exploration. Data Mining and Knowledge Discovery, (Accepted for Publication)
Al-Fahad, S., WANG, Q. , Anagnostopoulos, C. and Kolomvatsos, K. (2024) Task offloading in mobile edge computing using cost-based discounted optimal stopping. Open Computer Science, 14(1), 20230115. (doi: 10.1515/comp-2023-0115)
Puthiya Parambath, S. A. , Al-Fahad, S. A. M., Anagnostopoulos, C. and Kolomvatsos, K. (2024) Sequential Block Elimination for Dynamic Pricing. In: The 2nd International Workshop on Data Mining in Finance (DMF 2024) at the IEEE International Conference on Data Mining, Abu Dhabi, United Arab Emirates, 09-12 Dec 2024, (Accepted for Publication)