This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...
Researchers at UCLA's Institute of the Environment and Sustainability have developed the most high-resolution statewide maps ...
Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...
Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...
Drug-drug interactions (DDI) can cause adverse drug reactions during the co-administration of multiple drugs, necessitating accurate and scalable prediction tools. While deep learning models have ...
Abstract: Document image classification has a significant difficulty for the retrieval of digital documents and systems management in recent years. The main goal of this study is to investigate the ...
Abstract: Imbalanced image classification faces critical challenges in balancing the quality and diversity of synthetic minority samples. This article proposes the improved estimation distribution ...
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