The study provides a roadmap for modernizing emergency response infrastructure. In large-scale disasters, time is the most ...
Machine vision technology is being used for a robotic weed management system that avoids the environmental effects of herbicides and fills the agricultural labour gap.<br /><br /> ...
Nagpur: The AI-powered crowd management system, AI Nirikshak, effectively raised alarms during the Winter Assembly Session in ...
The global computer vision in healthcare market is projected to expand at a compound annual growth rate (CAGR) of approximately 25% over the forecast period. This robust growth is driven by the ...
DeVonta Smith accumulated a career-high 183 yards on nine catches against the Vikings. Brad Rempel / Imagn Images MINNEAPOLIS — DeVonta Smith had an idea. He needed someone to hear it. Anyone to hear ...
Abstract: Recent advancements in medical object detection (MOD) have been propelled by the rapid evolution of deep learning (DL) technologies, revolutionizing medical imaging and diagnostic workflows.
Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...
Abstract: Vision Transformer (ViT) is an image recognition model that uses transformer architecture, which has a numerous advantage over Convolution Neural Networks (CNN). It offers improved accuracy, ...
Introduction: Recent advances in artificial intelligence have transformed the way we analyze complex environmental data. However, high-dimensionality, spatiotemporal variability, and heterogeneous ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback