Advances in Intelligent Systems

This new volume covers a diverse range of advances in intelligent systems that involve applications of AI and digital automation such as machine learning, deep learning, sectional convolutional neural network models, and much more. Divided into three sections, the volume first covers advances in predictive analysis, such as using AI for leukemia detection and classification, an Xception model for the prediction of monkeypox disease, sectional convolutional neural network (S-CNN) model for automated covid detection, strategic decision-making models using data analytics in educational institutions, and more. Several chapters in the section on computer vision consider video object detection using convolution, CNN-based mask detection, and other vision detection technologies. The section on electronic circuits and assistive technologies looks at medical image watermarking using RDWT-SVD-DCT for secure medical data transmission in healthcare systems, such as for bone fracture identification and heart attack prediction, an eco-friendly battery powered autonomous tongue-controlled wheelchair, etc. This volume will provide food for thought for professionals and researchers working in intelligent systems.