Department of Computing
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- Adaptation of the human nervous system for self-aware secure mobile and IoT systems (2023)
- Adaptive Knobs for Resource Efficient Computing (2018)
- Adaptive Lidar Scan Frame Integration: Tracking Known MAVs in 3D Point Clouds (2021)
- Adaptive Reinforcment Learning for Network-On-Chip (2012)
- Adaptive risk prediction system with incremental and transfer learning (2021)
- Addressing Societal Challenges and Enhancing Academic Effectiveness through Challenge-Driven Education: A Case Study in Smart Microgrid (2024)
- A Demand-Response Scheme Using Multi-Agent System for Smart DC Microgrid (2022)
- A Dependency-based Analysis of Treebank Annotation Errors (2011)
- A development and verification framework for the SegBus platform (2013)
- Adoption and Optimization of Embedded and Real-Time Communication Systems (2013)
UTU Research Portal