By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
Abstract: This letter proposes KAN-based multispectral image super-resolution method (KMSR), a novel deep learning framework for multispectral image (MSI) super-resolution (SR) that integrates ...
AI is ultimately a story about selfhood—and the answer will not be found in the machine, but in what mindful awareness allows us to recognize when we see ourselves reflected there.
A comprehensive collection of implementations of seminal Convolutional Neural Network (CNN) architectures from groundbreaking research papers, recreated using the Keras deep learning library. This ...
Department of Biotechnology, School of Arts and Sciences, American University of Ras Al Khaimah, Ras Al Khaimah, United Arab Emirates Artificial Intelligence and machine learning tools have brought a ...
Abstract: The escalating scale and sophistication of cyberattacks pose a formidable challenge to conventional intrusion detection systems (IDS) because they lack the flexibility to adapt to evolving ...
Abstract: The deep learning framework for facial emotion recognition (FER) using a convolutional neural network (CNN) architecture is described in this research. The model uses data augmentation and ...
Abstract: Verification of signatures is critical for authentication procedures in the legal, banking, and financial domains. A cutting-edge, AI-powered technology called SigVerify Project uses deep ...
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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