Mitchell traces the evolution of AI from Alan Turing’s early ideas to modern systems. The book explores language, images, and ...
Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.
The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
Abstract: Visual Convolutional Multi-head Attention (VCMA), a groundbreaking architecture within the realm of deep learning, ingeniously fuses the strengths of Convolutional Neural Networks (CNN) and ...
Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses.Real-time data analysis helps farm ...
Abstract: Automatic target detection is important for real time navigation applications of 3D forward looking sonar (3D-FLS) systems. A 3D-FLS sensor generates a large volumetric point cloud of data ...
Abstract: Cybersecurity risks have evolved in the linked digital terrain of today into more complex, frequent, and varied forms. Conventional intrusion detection systems sometimes find it difficult to ...
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 ...
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