Abstract: In today's rapidly advancing era of intelligence and digitalization, gesture recognition, as a natural and efficient interaction method, has become an important research direction in the ...

Abstract: The characteristics of spatial electric field distortion are a key basis for detecting the zero-value insulator. In this paper, aiming at the operating states of 110kV insulator string under ...

Abstract: Motor imagery (MI) electroencephalography (EEG) has become a cornerstone of brain-computer interface (BCI) research due to its non-invasive nature and high temporal resolution. However, ...

A comprehensive collection of implementations of seminal Convolutional Neural Network (CNN) architectures from groundbreaking research papers, recreated using the Keras deep learning library. This ...

Abstract: The identification and analysis of human daily activities has garnered substantial attention in recent years, driven by its expansive applications in areas including healthcare, surveillance ...

👋 Welcome to 5 Things PM! Excessive alcohol use is pretty common, with 17% of adults in the US reporting binge drinking. Researchers explain why some people can’t stop — even when they know it’s ...

The biggest chains in America are using facial recognition technology to try to stop shoplifting. But most customers are unaware their faces are being scanned while they shop. Facial recognition isn’t ...

Abstract: Fiber-optic distributed acoustic sensor (DAS) offers great potential for railway event monitoring due to its high sensitivity and robustness in complex environments. However, accurate ...

ABSTRACT: The spatial distribution of green food enterprises reflects the level of agricultural modernization and ecological civilization construction within a region. Research into this distribution ...

Official TensorFlow/Keras implementation for the paper: "AudioFuse: Unified Spectral-Temporal Learning via a Hybrid ViT-1D CNN Architecture for Phonocardiogram Classification" Summary: The automatic ...