Deep Learning Applications in Operations Research - Rilegato

Rilegato

ISBN 10: 1032709189 ISBN 13: 9781032709185

Casa editrice: Routledge, 2026

Riassunto

Deep Learning Applications in Operations Research explores cutting-edge applications of deep learning and optimization techniques across various domains. By exploring innovative approaches and emerging trends in advanced intelligent applications, the book examines how innovation and emerging technologies can be leveraged to drive intelligent solutions across diverse domains. It covers such key areas as follows:

• A comparative study of deep learning algorithms and genetic algorithms as stochastic optimizers, analyzing their effectiveness in operations research applications
• An updated approach to the critical path method (CPM) that combines traditional scheduling with modern computational methods for dynamic project environments
• A bibliometric analysis of smart warehousing trends in logistics operations management using R, providing data- driven insights into industry developments
• An examination of edge computing optimization for real-time decision-making in operations research, focusing on latency reduction and computational efficiency
• Development of a hybrid intrusion detection system for IoT networks, combining machine learning with anomaly and signature-based detection approaches
• Introduction of SAI-GAN, a novel approach for masked face reconstruction, paired with a DCNN-ELM classifier for enhanced biometric authentication
• Analysis of deep learning-driven mHealth applications in India’s healthcare system, demonstrating how predictive analytics and real-time monitoring can improve healthcare accessibility
• Exploration of machine learning-driven ontology evolution in multi-tenant cloud architectures, advancing automated knowledge engineering through deep learning models

Providing a wide-ranging overview of the field, the book helps researchers navigate the rapidly evolving landscape of advanced intelligent applications. It demonstrates the transformative impact of deep learning on operations research by offering practical insights and establishing a foundation for future innovations.

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Informazioni sull'autore

Sanjay Misra is a senior scientist at the Department of Digital Sovereignty, Institute for Energy Technology, Halden, Norway.

Amit Jain is president, vice chancellor, and director of Amity University Rajasthan, India.

Manju Kaushik is a professor of software engineering at the Amity Institute of Information Technology and director of E-Cell and Center of IoT, Amity University Rajasthan, India.

Chitresh Banerjee is an associate professor at the Amity Institute of Information Technology, Amity University Rajasthan, India.

Rakhi Mutha is an associate professor at the Amity Institute of Information Technology, Amity University, Rajasthan, India.

Dettagli dell'edizione

• Editore: Routledge
• Data di pubblicazione: 2026
• Lingua: Inglese
• ISBN 10: 1032709189
• ISBN 13: 9781032709185
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 290
• Redattore: Misra Sanjay, Jain Amit, Kaushik Manju, Banerjee Chitresh, Mutha Rakhi
• Contatto del produttore: Taylor and Francis, GPSR Taylor and Francis; gpsr@taylorandfrancis.com; ; Taylor & Francis Verlag GmbH, Kaufingerstraße 24; München; 80331; Germania