Human Activity Recognition (HAR) with wear able multi-Inertial Measurement Unit (IMU) systems is challenged by limited labeled data, sensor instability, and real-time constraints. This paper proposes an adaptive TimeGAN-augmented fully convolutional framework for robust and efficient multi-IMU HAR. TimeGAN is used to g...
Wen Qi, Shan Ma, Qi-Meng Li et al.· IEEE journal of biomedical a...· 0 citations
This paper aims to analyze the landscape of energy theft detection by providing a systematic analysis of the state-of-the-art manuscripts in the form of a tertiary study in accordance with the PRISMA methodology guidelines.
Diego Labate, Dipanwita Thakur, Antonella Guzzo et al.· Big Data and Cognitive Compu...· 0 citations
Energy-Aware Adaptive Quantization and Freezing (EA-AQF), a unified framework that co-optimizes communication and computation, is presented, a unified framework that co-optimizes communication and computation and maintains robust convergence in highly heterogeneous tasks.