Abstract: Partial discharge (PD) pattern recognition approaches are designed to identify the types or severities of the insulation defects within the high voltage equipment, which is vital for ...
Bees’ remarkable visual learning abilities make them ideal for studying active information acquisition and representation. Here, we develop a biologically inspired model to examine how flight ...
Pattern recognition is a cornerstone of Artificial Intelligence (AI), shaping critical applications such as image analysis, speech processing, and automated decision-making. This study examines the ...
Spotting a money‑making window is less art than disciplined pattern recognition, says Blackstone co‑founder Stephen Schwarzman. What Happened: In a 2020 appearance on the "Lex Fridman Podcast" that ...
Improving Unimodal sEMG-Based Pattern Recognition Through Multimodal Generative Adversarial Learning
Abstract: Surface electromyography (sEMG)-based pattern recognition system is a kind of instrumentation and measurement system that captures, processes, and recognizes bioelectrical signals, like ...
Department of Chemistry, University of Utah, 315 South 1400 East, Salt Lake City, Utah 84112, United States Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford Street, ...
Artificial intelligence (AI) has made remarkable strides in recent years, particularly in its ability to reason. At the heart of this evolution are new technologies like neural networks and large ...
LLMs tell you the truth, sometimes. Source: Art: DALL-E/OpenAI Large Language Models (LLMs) have revolutionized how we interact with machines, captivating users with their ability to generate coherent ...
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