However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...
Abstract: Traditional investment efficiency evaluation methods have problems such as low accuracy, slow response speed, and static analysis in terms of multi-dimensional feature processing, dynamic ...
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New AI drone finds hidden land mines 10x faster than humans
AI-powered drones are now scanning minefields in Ukraine at a pace that manual survey teams cannot match, with one company ...
Abstract: Recommendation systems are critical for web-based film administrations like Netflix in assisting clients in discovering new films to enjoy. The proposed work uses AI (Artificial Intelligence ...
Abstract: Identifying diseases in apple leaves plays a vital role in boosting farm productivity and preventing crop losses. This research introduces a comprehensive approach for classifying images of ...
1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
Abstract: Approaches based on artificial intelligence offer promising prospects for optimizing water supply and sanitation systems while guaranteeing the quality of drinking water, surface water, and ...
An accurate assessment of the state of health (SOH) is the cornerstone for guaranteeing the long-term stable operation of electrical equipment. However, the noise the data carries during cyclic aging ...
The need for real-time, user-friendly communication interfaces has driven gesture recognition system development. This need spurred system growth. This need has pushed Human-Computer Interaction (HCI) ...
Abstract: Innovations in deep learning architectures are driving a paradigm shift in computer vision. While traditional convolutional neural networks (CNNs) have long dominated image tasks due to ...
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