Abstract: This study explores how combining the YOLOv10 artificial intelligence model with data visualization technology can improve the speed and accuracy of sorting and delivering packages in ...
Abstract: In India, countless children are reported missing every year, with a significant percentage remaining untraced due to challenges in identification and limited resources. This project ...
In this paper, a novel approach is proposed for early recognition of Radar Work Mode, which integrates a hybrid CNN-Transformer architecture and a Reinforcement Learning strategy. The model processes ...
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: Convolutional neural networks (CNNs) are widely applied in fault diagnosis due to their excellent ability to extract local features and process complex data. However, the decision-making and ...
Abstract: Hand gesture recognition (HGR) utilizing radar sensors frequently encounters obstacles such as interference, clutter, and the restricted amount of radar datasets, which hinder the ...
Abstract: Radar-based human activity recognition (HAR) has emerged as a critical component in various applications, ranging from smart homes to healthcare monitoring. Radar has several advantages: a ...
An open-source framework for analyzing birdsong recordings through acoustic feature extraction, dimensionality reduction, and neural audio synthesis. Transform audio signals into interactive 3D ...
Abstract: This study focuses on the need for effective emotional recognition in dogs, addressing the growing importance of canine emotional health in pet care and service dog optimization. As the ...
DeepHybridNet: A Novel CNN-Transformer Architecture for Robust Object Recognition and Categorization
Abstract: Having profound implications for autonomous systems, intelligent surveillance, and human-computer interaction, object detection and classification of images are one of the principal ...
Abstract: Gesture recognition, a crucial technology in human-computer interaction, finds applications across various domains, including smart homes, automotive driver assistance systems, and more.
Abstract: Automated License Plate Reader (LPR) technology finds significant use in traffic monitoring, vehicle identification, and security systems. In this paper, we propose a practical LPR system ...
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