Abstract: Convolutional neural networks (CNNs) play a key role in many deep learning applications; however, these networks are resource intensive. The parallel computing ability of computing-in-memory ...
Historically, these were mostly knowledge-based systems, but recent advances include non–knowledge-based systems using some form of machine learning. The ability of health care professionals to trust ...
Abstract: Flood mapping using remote sensing data is critical to disaster response, especially in real-time monitoring and edge deployment. However, existing deep-learning (DL) models often face ...
A 21-year-old man has been charged with murder in the death of a 7-month-old girl who was struck by a stray bullet in New York City this week. Subscribe to read this story ad-free Get unlimited access ...
Electrical energy is no longer treated as an unlimited utility. Every watt consumed has a cost impact, an efficiency implication, and in many cases a safety consequence. A smart grid in IoT is not a ...
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