However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...

In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby ...

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 ...

AI-powered drones are now scanning minefields in Ukraine at a pace that manual survey teams cannot match, with one company reporting that its detection dataset has surpassed 36,000 landmine ...

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 ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

1 Department of Computer Science, American International University-Bangladesh (AIUB), Dhaka, Bangladesh. 2 Department of Electrical and Electronics Engineering, American International ...

Abstract: The objective of this paper is to understand the technological advancement in the medical image segmentation and classification of Magnetic Resonance (MR) Images using Deep Learning (DL) ...