1Hadhramout University College of Medicine, Mukalla, Yemen, Rep. Search for other works by this author on: ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

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 ...

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.

Deep learning is at the core of the large language models used by OpenAI's ChatGPT and Microsoft Copilot, for example. More specialized deep learning models have supported a wide range of scientific ...

Deep learning has emerged as a transformative tool for the automated detection and classification of seizure events from intracranial EEG (iEEG) recordings. In this review, we synthesize recent ...

Abstract: Breast cancer is a prominent and fatal cancers that affect adult females worldwide. Improving patient outcomes requires early detection and accurate diagnosis. Recent advances in computer ...

ABSTRACT: Facing increased energy demand which surpasses national grid supply capacity due to rapid population growth, urbanization, and economic activities, developing countries such as Cameroon are ...

The application of deep learning algorithms in protein structure prediction has greatly influenced drug discovery and development. Accurate protein structures are crucial for understanding biological ...