{"product_id":"deep-learning-applications-in-operations-research","title":"Deep Learning Applications in Operations Research","description":"\u003cp\u003e\u003cem\u003eDeep Learning Applications in Operations Research \u003c\/em\u003eexplores 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:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eA comparative study of deep learning algorithms and genetic algorithms as stochastic optimizers, analyzing their effectiveness in operations research applications\u003c\/li\u003e\n\u003cli\u003eAn updated approach to the critical path method (CPM) that combines traditional scheduling with modern computational methods for dynamic project environments\u003c\/li\u003e\n\u003cli\u003eA bibliometric analysis of smart warehousing trends in logistics operations management using R, providing data- driven insights into industry developments\u003c\/li\u003e\n\u003cli\u003eAn examination of edge computing optimization for real-time decision-making in operations research, focusing on latency reduction and computational efficiency\u003c\/li\u003e\n\u003cli\u003eDevelopment of a hybrid intrusion detection system for IoT networks, combining machine learning with anomaly and signature-based detection approaches\u003c\/li\u003e\n\u003cli\u003eIntroduction of SAI-GAN, a novel approach for masked face reconstruction, paired with a DCNN-ELM classifier for enhanced biometric authentication\u003c\/li\u003e\n\u003cli\u003eAnalysis of deep learning-driven mHealth applications in India’s healthcare system, demonstrating how predictive analytics and real-time monitoring can improve healthcare accessibility\u003c\/li\u003e\n\u003cli\u003eExploration of machine learning-driven ontology evolution in multi-tenant cloud architectures, advancing automated knowledge engineering through deep learning models\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eProviding 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.\u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":55634650825048,"sku":"9781032709185","price":210.8,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781032709185_1e285796-2b4c-4aca-bdeb-00cd3b6b9572.jpg?v=1772256636","url":"https:\/\/agendabookshop.com\/products\/deep-learning-applications-in-operations-research","provider":"Agenda Bookshop","version":"1.0","type":"link"}