Abstract: Imbalanced image classification faces critical challenges in balancing the quality and diversity of synthetic minority samples. This article proposes the improved estimation distribution ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
You will be redirected to our submission process. Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...
The University of North Florida has once again been recognized for its sustained commitment to community partnership, earning the Carnegie Elective Classification for Community Engagement for the ...
Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy.
Deepfakes of Venezuela’s ousted president, Nicolás Maduro, flooded the internet after his capture, in a new collision of breaking news and artificial intelligence. By Stuart A. Thompson and Tiffany ...
Abstract: Accurate segmentation and classification of brain tumors from Magnetic Resonance Imaging (MRI) are critical for effective diagnosis and treatment planning. This paper proposes a novel ...
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