Abstract: Vibration signal analysis methods based on digital signal processing (DSP) have been proven effective in motor fault diagnosis. However, DSP requires signal conversion from analog to digital ...
Abstract: Distributed sensing through video, audio, radar and other sensors is strongly growing with application areas such as smart homes and Internet of Things. The concept of edge computing ...
Traditional signal processing techniques have achieved much, but they face notable limitations when confronted with complex, high-volume data. Classical methods often rely on manual feature extraction ...
In modern machine learning workflows, most signal processing tasks rely on Python's SciPy utilities. However, there is no Java library that replicates SciPy's behavior with comparable completeness and ...
Chris is a Senior News Writer for Collider. He can be found in an IMAX screen, with his eyes watering and his ears bleeding for his own pleasure. He joined the news team in 2022 and accidentally fell ...
This image shows an artist’s interpretation of new optical processor for an edge device, developed by MIT researchers, that performs machine learning computations at the speed of light, classifying ...
VIBE is a speculative research concept exploring the use of ultra-sensitive acoustic sensors and AI/ML to detect cellular mutation events, such as early-stage cancer, based on the minute vibrational ...
College of Computing, Khon Kaen University, Khon Kaen 40002, Thailand Department of Computer Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand Department of ...
In the 1980s, Andrew Barto and Rich Sutton were considered eccentric devotees to an elegant but ultimately doomed idea—having machines learn, as humans and animals do, from experience. Decades on, ...
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