no code implementations • 16 Jan 2024 • Alireza Nezhadettehad, Arkady Zaslavsky, Rakib Abdur, Siraj Ahmed Shaikh, Seng W. Loke, Guang-Li Huang, Alireza Hassani
Predicting the future location of mobile objects reinforces location-aware services with proactive intelligence and helps businesses and decision-makers with better planning and near real-time scheduling in different applications such as traffic congestion control, location-aware advertisements, and monitoring public health and well-being.
no code implementations • 22 Dec 2022 • Shakthi Weerasinghe, Arkady Zaslavsky, Seng W. Loke, Amin Abken, Alireza Hassani
This paper proposes a reinforcement learning based approach to adaptively cache context with the objective of minimizing the cost incurred by context management systems in responding to context queries.
no code implementations • 21 Nov 2022 • Shakthi Weerasinghe, Arkady Zaslavsky, Seng W. Loke, Alireza Hassani, Amin Abken, Alexey Medvedev
This paper presents a critical survey of the state-of-the-art in adaptive data caching with the objective of developing a body of knowledge in cost- and performance-efficient adaptive caching strategies.