Advances in Intelligent Systems

Paradigms and Applications

Details advances in intelligent systems that involve applications of AI and digital automation such as machine learning, deep learning, sectional convolutional neural network models, and more. Covers advances in predictive analysis, like using AI for leukemia detection, an Xception model for the prediction of monkeypox, etc.

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. It explores advances in predictive analysis, such as using AI for leukemia detection and other diseases, strategic decision-making models using data analytics, video object detection using convolution, CNN-based mask detection, medical image watermarking using RDWT-SVD-DCT, and more.

Contributor: Manisha Guduri (Edited by), Uma Maheswari V (Edited by), Rajanikanth Aluvalu (Edited by), Amit Krishna Dwivedi (Edited by), Martin Margala (Edited by)

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