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5 papers · 1 filter
NetDAM: Network Direct Attached Memory with Programmable In-Memory Computing ISA
Kevin Fang, David Peng
Data-intensive applications like distributed AI-training may require multi-terabytes memory capacity with multi-terabits bandwidth. We directly attach the memory to the ethernet co…
UAV Trajectory Planning in Wireless Sensor Networks for Energy Consumption Minimization by Deep Reinforcement Learning
Botao Zhu, Ebrahim Bedeer, Ha H. Nguyen +2
Unmanned aerial vehicles (UAVs) have emerged as a promising candidate solution for data collection of large-scale wireless sensor networks (WSNs). In this paper, we investigate a U…
Ambrosia: Reduction in Data Transfer from Sensor to Server for Increased Lifetime of IoT Sensor Nodes
Shikhar Suryavansh, Abu Benna, Chris Guest +1
Data transmission accounts for significant energy consumption in wireless sensor networks where streaming data is generatedby the sensors. This impedes their use in many settings,…
Cross-View Exocentric to Egocentric Video Synthesis
Gaowen Liu, Hao Tang, Hugo Latapie +2
Cross-view video synthesis task seeks to generate video sequences of one view from another dramatically different view. In this paper, we investigate the exocentric (third-person)…
Assessing Validity of Static Analysis Warnings using Ensemble Learning
Anshul Tanwar, Hariharan Manikandan, Krishna Sundaresan +3
Static Analysis (SA) tools are used to identify potential weaknesses in code and fix them in advance, while the code is being developed. In legacy codebases with high complexity, t…