AHAR: Adaptive CNN for Energy-efficient Human Activity Recognition in Low-power Edge Devices

3 February 2021

Papers citing "AHAR: Adaptive CNN for Energy-efficient Human Activity Recognition in Low-power Edge Devices"

7 / 7 papers shown

Title
Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks Yingchao Yu Yuping Yan Jisong Cai Yaochu Jin FedML 26 0 0 14 Jun 2024
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey Haotian Zhang S. D. Semujju Zhicheng Wang Xianwei Lv Kang Xu ... Jing Wu Zhuo Long Wensheng Liang Xiaoguang Ma Ruiyan Zhuang UQCV AI4TS AI4CE 27 4 0 11 Dec 2023
MicroNAS: Memory and Latency Constrained Hardware-Aware Neural Architecture Search for Time Series Classification on Microcontrollers Tobias King Yexu Zhou Tobias Röddiger Michael Beigl 26 2 0 27 Oct 2023
ActiveSelfHAR: Incorporating Self Training into Active Learning to Improve Cross-Subject Human Activity Recognition Baichun Wei Chunzhi Yi Qi Zhang Haiqi Zhu Jianfei Zhu Feng Jiang 20 1 0 27 Mar 2023
Sequential three-way decisions with a single hidden layer feedforward neural network Youxi Wu Shu-hong Cheng Y. Li Rongjie Lv Fan Min 24 12 0 14 Mar 2023
SELF-CARE: Selective Fusion with Context-Aware Low-Power Edge Computing for Stress Detection Nafiul Rashid Trier Mortlock Mohammad Abdullah Al Faruque 22 6 0 08 May 2022
Human Activity Recognition Using Tools of Convolutional Neural Networks: A State of the Art Review, Data Sets, Challenges and Future Prospects Md. Milon Islam Sheikh Nooruddin Fakhri Karray Muhammad Ghulam BDL 16 129 0 02 Feb 2022