Advances in Intelligent Systems

Advances in Intelligent Systems, 1st Edition examines core concepts in artificial intelligence and digital automation. The book presents functional frameworks for intelligent computational architectures.

Coverage focuses on machine learning, deep learning, and sectional convolutional neural network models. Readers encounter advances in predictive analysis, including artificial intelligence applications developed for leukemia detection and broader disease identification.

The volume also covers strategic decision-making models built upon data analytics. These analytical methods aim to assist researchers and practitioners in executing data-driven evaluations.