Abstract: This paper proposes a machine learning (ML)-based design for a load-independent (LI) wireless power transfer (WPT) system. The proposed design strategy formulates the WPT design as an ...
This repository presents a systematic comparison of machine learning and deep learning models for short-term electricity load forecasting (STLF). Short-term load forecasting is a key task in modern ...
Multimodal Large Language Models (MLLMs) have attracted much attention for their multifunctionality. However, traditional Transformer architectures incur significant overhead due to their secondary ...
Abstract: The large number of Industrial Internet of Things (IIoT) sensor networks in smart factories has transformed production processes with the capability of real-time monitoring, automation, and ...
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