Abstract: Audio feature selection and neural network architecture play crucial roles in speech recognition performance. This paper presents a comparative analysis of Artificial Neural Networks (ANNs) ...
Abstract: This paper presents a lightweight three-dimensional convolutional neural network (3D-CNN) for human activity recognition (HAR) using event-based vision data ...
Abstract: Executable file analysis is a pivotal technology in the fields of cybersecurity and software engineering, with applications including malware detection, code similarity analysis, and ...
LONDON, UNITED KINGDOM, January 20, 2026 /EINPresswire.com/ — 3D rendering studio Omegarender has been awarded the title of Best International Architectural CGI ...
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 ...
• CNN town hall: Minneapolis Mayor Jacob Frey said he had a “productive” conversation with border czar Tom Homan, but that he didn’t receive any assurances the immigration crackdown in the city would ...
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: Fine-grained scene recognition has significant application value in fields such as intelligent transportation, navigation and positioning, smart home, human-computer interaction, safety ...
Abstract: Fiber Bragg grating (FBG) sensing systems have demonstrated strong potential for distributed vibration monitoring, yet recognizing mixed intrusion events remains challenging due to the ...
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