However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...
Abstract: A modern healthcare system should be able to monitor and manage a patient's health remotely, especially for serious issues like Diabetic Foot Ulcers (DFU). Adding an intelligent system that ...
Z Advanced Computing, Inc. (ZAC), the pioneer CognitiveExplainable Artificial Intelligence (CXAI) software startup, was awarded 25 million dollar sole-source contract from US Air Force. The ...
Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.
Abstract: Multi-objective evolutionary algorithms (MOEAs) have demonstrated significant success in solving multi-objective optimization problems (MOPs). However, their performance is highly sensitive ...
Abstract: Accurate prediction of Remaining Useful Life (RUL) for lithium-ion batteries (LIBs) is vital to ensure operating safety and optimize maintenance strategies for energy storage systems.
Morning Overview on MSN
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: In the realm of millimeter wave (mmWave) communication, massive multiple-input-multiple-output (mMIMO) systems have grabbed greater attention due to advancements in the 5G cellular networks.
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: Human pose estimation has emerged as one of the most prominent research directions in computer vision in recent years. This technology aims to acquire human pose information from images or ...
Abstract: This paper presents a novel deep learning framework for classifying Babylonian numerals by integrating Convolutional Neural Networks (CNNs) with a hybrid CNN-SVM model. The core ...
An accurate assessment of the state of health (SOH) is the cornerstone for guaranteeing the long-term stable operation of ...
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