Reinforcement Learning Based Approaches to Adaptive Context Caching in Distributed Context Management Systems - Shakthi Weerasinghe; Arkady B. Zaslavsky; Seng W. Loke; Alexey Medvedev; Amin Abken; Alireza Hassani; Guang-Li Huang (ACM Trans. Internet Things, 2024)

Proactive Context Caching Based on Situation Prediction for Real-Time Mobile IoT Applications - Shakthi Weerasinghe; Arkady B. Zaslavsky; Seng W. Loke; Guang-Li Huang (25th IEEE International Conference on Mobile Data Management, MDM 2024, Brussels, Belgium, June 24-27, 2024, 2024)

Improving the Usefulness of Context Information for IoT Applications: A Middleware-based Approach - Shakthi Weerasinghe; Kanaka Sai Jagarlamudi; Arkady B. Zaslavsky; Seng W. Loke; Kevin Lee; Guang-Li Huang (IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom 2024 - Workshops, Biarritz, France, March 11-15, 2024, 2024)

A Hybrid Approach to Monitor Context Parameters for Optimising Caching for Context-Aware IoT Applications - Ashish Manchanda; Prem Prakash Jayaraman; Abhik Banerjee; Arkady B. Zaslavsky; Shakthi Weerasinghe; Guang-Li Huang (CoRR, 2024)

Context Caching for IoT-Based Applications: Opportunities and Challenges - Shakthi Weerasinghe; Arkady B. Zaslavsky; Seng W. Loke; Alexey Medvedev; Amin Abken; Alireza Hassani (IEEE Internet Things Mag., 2023)

Adaptive Context Caching for IoT-Based Applications: A Reinforcement Learning Approach - Shakthi Weerasinghe; Arkady B. Zaslavsky; Seng Wai Loke; Alireza Hassani; Alexey Medvedev; Amin Abken (Sensors, 2023)

Refresh Rate-Based Caching and Prefetching Strategies for Internet of Things Middleware - Alexey Medvedev; Alireza Hassani; Gleb Belov; Shakthi Weerasinghe; Guang-Li Huang; Arkady B. Zaslavsky; Seng W. Loke; Prem Prakash Jayaraman (Sensors, 2023)

Towards World Wide Context Management: Architecting Distributed Contextual Intelligence Systems for Real-Time IoT Applications - Shakthi Weerasinghe; Arkady B. Zaslavsky; Seng W. Loke; Valeh Moghaddam; Christian Becker (24th IEEE International Conference on Mobile Data Management, MDM 2023, Singapore, July 3-6, 2023, 2023)

Adaptive Context Caching for Efficient Distributed Context Management Systems - Shakthi Yasas Weerasinghe; Arkady B. Zaslavsky; Seng Wai Loke; Amin Abken; Alireza Hassani; Alexey Medvedev (Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, SAC 2023, Tallinn, Estonia, March 27-31, 2023, 2023)

Context Query Simulation for Smart Carparking Scenarios in the Melbourne CDB - Shakthi Weerasinghe; Arkady B. Zaslavsky; Alireza Hassani; Seng W. Loke; Alexey Medvedev; Amin Abken (CoRR, 2023)

Estimating the lifetime of transient context for adaptive caching in IoT applications - Shakthi Weerasinghe; Arkady B. Zaslavsky; Seng W. Loke; Alexey Medvedev; Amin Abken (SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25 - 29, 2022, 2022)

From Traditional Adaptive Data Caching to Adaptive Context Caching: A Survey - Shakthi Weerasinghe; Arkady B. Zaslavsky; Seng W. Loke; Alireza Hassani; Amin Abken; Alexey Medvedev (CoRR, 2022)

Reinforcement Learning Based Approaches to Adaptive Context Caching in Distributed Context Management Systems - Shakthi Weerasinghe; Arkady B. Zaslavsky; Seng W. Loke; Amin Abken; Alireza Hassani (CoRR, 2022)