--output Output path (default: input name + extension) --format jpg or png (default: jpg) --width Output width (default: 1920) --height Output height (default: 1080 ...
Abstract: This paper presents a lightweight three-dimensional convolutional neural network (3D-CNN) for human activity recognition (HAR) using event-based vision data ...
Abstract: Human activity recognition (HAR) using millimeter-wave (mmWave) radar has gained attention as a contactless and privacy-preserving sensing method that remains effective under low lighting ...
Abstract: Emotion recognition from voice data has evolved from a niche field into an important thing in human-computer interaction. It aims to facilitate more natural interactions with machines ...
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 ...
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 ...
This repository contains the complete RTL design and verification environment for a fully hardware-based Convolutional Neural Network (CNN) accelerator. The system is designed from scratch in Verilog ...
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 ...
An open-source framework for analyzing birdsong recordings through acoustic feature extraction, dimensionality reduction, and neural audio synthesis. Transform audio signals into interactive 3D ...