Bacanin nebojsa (77 resultados)

Original decorated boards. Condición: Fine. Print on Demand. Slight shelfwear.; 6.25 X 0.5 X 9.25 inches; xxii, 107 pages.

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Paperback. Condición: Brand New. 342 pages. 6.14x0.75x9.21 inches. In Stock.

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Taschenbuch. Condición: Neu. Neuware - The book establishes how to design, develop, and test different hybrids of multi-objective optimization algorithms. It presents several application areas of multi-objective optimization algorithms. - Presents a thorough analysis of equations, mathematical models, and mechanisms of multi-objective optimization algorithms. - Explores different alternatives of multi-objective optimization algorithms to solve binary, multi-objective, noisy, dynamic, and combinatorial optimization problems. - Illustrates how to design, develop, and test different hybrids of multi-objective optimization algorithms. - Discusses multi-objective optimization techniques for cloud, fog, and edge computing. - Highlights applications of multi-objective optimization in diverse sectors such as engineering, e-healthcare, and scheduling. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, communications engineering, computer science and engineering, and mathematics.…

Hardcover. Condición: Brand New. 450 pages. 9.25x6.25x0.50 inches. In Stock.

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Condición: New. Dr. Moolchand Sharma is an Assistant Professor at the Maharaja Agrasen Institute of Technology, GGSIPU Delhi. He has several publications in reputed international journals and conferences, including SCI-indexed and Scopus-indexed journals. He has .

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Hardback. Condición: New.

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Condición: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Buch. Condición: Neu. Neuware - The rapid development in AI and quantum computing has resulted in a new domain termed Quantum-Inspired Neural Networks (QINNs). These models utilize ideas from quantum mechanics, including superposition, entanglement, and quantum probability, to improve the efficiency and performance of classical neural networks. This book examines the theoretical underpinnings, frameworks, and practical implementations of QINNs, rendering it an essential resource for scholars, academics, and industry experts. It examines mathematical frameworks behind quantum-inspired models, their implementation methodologies, and their relevance in diverse fields, including healthcare, finance, cybersecurity, and natural language processing. It serves as a comprehensive guide for individuals seeking to comprehend and apply QINNs in practical situations, utilizing theoretical insights, algorithmic frameworks, and case examples. The book is distinct due to its emphasis on the present and future of quantum-inspired deep learning. It integrates discussions on hybrid quantum-classical architectures, optimization strategies, and scalability difficulties, addressing the gap between quantum computing and classical AI, which are often treated separately in previous literature. Furthermore, it examines the constraints and future potential of QINNs, providing a framework for the shift from traditional deep learning to quantumaugmented models. Readers will acquire a profound comprehension of how quantum-inspired methodologies might transform the AI domain and propel innovation in nascent technologies.Key Features: - Investigates the integration of quantum computing concepts with neural networks, a dynamically advancing domain with transformational capabilities - Connects quantum computing, artificial intelligence, and machine learning, making it applicable across several fields - Appeals to both academic researchers and industry professionals by addressing theoretical advancements and practical applications - Explores the security implications of quantum AI and ethical concerns, making it relevant for policymakers and tech leaders - Caters to researchers, academics, AI practitioners, and students looking to explore next-gen AI technologies.…