CAMBRIDGE, Mass., Feb. 2, 2026 /PRNewswire/ -- Sense, a leader in grid edge intelligence, today announced a new edge-powered Fault Detection Solution that is embedded directly into next-generation ...

Wood, a widely distributed renewable resource, plays a vital role in accelerating urbanisation. However, wood grain defects pose significant safety hazards. Detecting these defects is challenging due ...

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...

ABSTRACT: Rainfall-induced landslides threaten mountainous regions globally, yet existing models face challenges in real-time, large-scale prediction due to dependency on post-event data. This study ...

Magnetic data boundary detection is a key technology in potential field data processing, providing an effective basis for the division of geological units and fault structures. It holds significant ...

Abstract: This paper gives insight about the implementation of brain tumor detection through deep learning using convolution neural networks (CNN). It deeply explain each and every steps needed to ...

Abstract: Synthetic aperture radar (SAR) ship detection is a popular area in remote sensing, which has broad applications in fishery management, maritime rescue and marine detection. In recent years, ...

This includes 4 edge detection methods: Sobel, Prewitt, Laplace and Canny built using algorithms. The report contains the results of methods and comparisons.