受强制性开放获取政策约束的文章 - Rishikanth Chandrasekaran了解详情
可在其他位置公开访问的文章：6 篇
Hdnn-pim: Efficient in memory design of hyperdimensional computing with feature extraction
A Dutta, S Gupta, B Khaleghi, R Chandrasekaran, W Xu, T Rosing
Proceedings of the Great Lakes Symposium on VLSI 2022, 281-286, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
Paws: A wearable acoustic system for pedestrian safety
D De Godoy, B Islam, S Xia, MT Islam, R Chandrasekaran, YC Chen, ...
2018 IEEE/ACM Third International Conference on Internet-of-Things Design …, 2018
强制性开放获取政策： US National Science Foundation
Fhdnn: Communication efficient and robust federated learning for aiot networks
R Chandrasekaran, K Ergun, J Lee, D Nanjunda, J Kang, T Rosing
Proceedings of the 59th ACM/IEEE Design Automation Conference, 37-42, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
A drone-based system for intelligent and autonomous homes
S Xia, R Chandrasekaran, Y Liu, C Yang, TS Rosing, X Jiang
Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems …, 2021
强制性开放获取政策： US National Science Foundation
Multi-label classification with Hyperdimensional Representations
R Chandrasekaran, F Asgareinjad, J Morris, T Rosing
IEEE Access, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense
Efficient Sparse Processing in Smart Home Applications
R Chandrasekaran, Y Guo, A Thomas, M Menarini, MH Ostertag, Y Kim, ...
Proceedings of the 1st Workshop on Machine Learning on Edge in Sensor …, 2019
强制性开放获取政策： US National Science Foundation
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