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Lieferstatus:	Vorankündigung
Veröffentlichung:	ANGEKÜNDIGT (Oktober 2026)
Genre:	Schulbücher
	Artificial Intelligence / Autoencoders / Blood cancer / Breast Cancer / Cardiovascular Disease / Colon Cancer / colorectal cancer / Computational Intelligence / Computational Science and Engineering / Generative AI / graphical neural network / HaMobNet / Künstliche Intelligenz / Leukemia / machine learning / Malaria Parasite / Mathematical Modeling / Mathematical Modeling and Industrial Mathematics / Mathematik für Ingenieure / Numerische Mathematik / random decision forest / skin cancer / Smart Surveillance / Sustainable agriculture / Tamper Detection mehr...
ISBN:	9789819245789
EAN-Code:	9789819245789
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D
Seiten:	423
Illustration:	XXV, 423 p. 199 illus., 184 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Keine Bewertung vor Veröffentlichung möglich.

Inhalt:

This proceedings volume discusses topics on generative AI-one of the most trending topics and application in every field of science and engineering-and machine intelligence. Chapters of this proceedings were presented at the International Conference on Mathematical Modeling in Computational Intelligence and Generative AI (Math-CIGAI), held at Koneru Lakshmaiah Education Foundation, Hyderabad, India, from 19-20 June 2025. The book also discusses how to develop new products and automate the system by generating the new and improved models and improve decision making systems. It also discusses the applications of machine intelligence and generative AI in healthcare decision making, drug discovery, personalized care, synthetic data generation, automations, and many more. Topics on mathematical models such as adversarial networks and variational autoencoders are also discusses which are deployed to produce images for data augmentation, improving disease diagnosis and advanced medical imaging research areas. This volume is intended for researchers, academicians, and professionals.