Abstract: Linear filtering or convolution operations can be computationally expensive, especially in low-resource environments, high data rate applications, or scenarios involving large datasets. In ...
Data-driven consumer-phase identification in low-voltage distribution networks considering prosumers
Knowing the correct phase connectivity information plays a significant role in maintaining high-quality power and reliable electricity supply to end-consumers. However, managing the consumer-phase ...
Abstract: Automatic Modulation Recognition (AMR) is an essential part of Intelligent Transportation System (ITS) dynamic spectrum allocation. However, current deep learning-based AMR (DL-AMR) methods ...
New statistical evidence has emerged, suggesting that bitcoin's BTC $89,439.88 market dynamics are now intricately linked to the ebb and flow on Wall Street. Recently, the 90-day correlation ...
Russell has a PhD in the history of medicine, violence, and colonialism. His research has explored topics including ethics, science governance, and medical involvement in violent contexts. Russell has ...
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