Artificial Intelligence and Quantum Computing: Early Innovations. Volume 1 (Studies in Computational Intelligence 1200) (2025. xii, 528 S. XII, 528 p. 236 illus., 201 illus. in color. 235 mm)

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Artificial Intelligence and Quantum Computing: Early Innovations. Volume 1 (Studies in Computational Intelligence 1200) (2025. xii, 528 S. XII, 528 p. 236 illus., 201 illus. in color. 235 mm)

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  • 製本 Hardcover:ハードカバー版/ページ数 450 p.
  • 言語 ENG
  • 商品コード 9783031856136

Full Description

This book delves into how these transformative technologies are being integrated to revolutionize fields such as health care, infrastructure, and data security. In an era dominated by rapid advancements in technology, this book stands at the forefront of the intersection between AI and quantum computing.

Key Highlights:

· Quantum Architectures: Explore revolutionary quantum architecture search methods that leverage quantum evolutionary algorithms, setting the stage for next-generation computing power and efficiency. This section delves into the mechanisms that could significantly enhance quantum device functionality and scalability.

· Quantum-Enhanced Machine Learning: Discover how supervised quantum machine learning is redefining problem-solving in various industries by enabling faster, more efficient data processing and opening new frontiers in artificial intelligence.

· Agricultural Innovations: Delve into the application of AI in agriculture with a focus on improving crop yield predictions and optimizing resource management, showcasing how technology is transforming traditional farming practices.

· Health Care: Examine the transformative impact of AI and quantum computing in health care—from improving diagnostic accuracy with advanced imaging techniques to optimizing treatment protocols and patient management systems.

· Software Reliability: Explore the vital role of machine learning algorithms in enhancing software reliability, focusing on predictive techniques that identify potential faults and improve the quality of software development processes.

This book is an essential resource for researchers, engineers, and policymakers, providing both theoretical foundations and practical applications of AI and quantum computing. It is designed to inspire innovation and encourage the adoption of these technologies in solving some of the most pressing challenges of our time.

This book is more than just a technical guide—it is a blueprint for the future, demonstrating the profound impact of these technologies on global health, sustainable infrastructure, and beyond. Dive into this pivotal work to understand how artificial intelligence and quantum computing are not only shaping our world but also paving the way for a brighter, more sustainable future.

Contents

SDG 3 Good Health and Well-being.- Hybrid Quantum Convolutional Network for Spine Fracture Classification.- RSNA 2024 Multi view Quantum Deep Learning Model for Degenerative Lumbar Spine Classification.- Enhancing Nocturnal Blood Pressure Detection through Interval Type 2 Fuzzy Classification Systems.- Glioma Segmentation in T1 Weighted MRI Images Using Deep Learning.- Vision Transformers for the Segmentation of Patterns Associated to Pathology in Diabetic Retinopathy.- Segmentation of High Quality Histopathological Micrographs Using a Genetic Algorithm and Otsu's Method.- SDG 9 Industry, Innovation, Technology and Infrastructure.- AI based Algorithm for the Automatic Detection of Missing Solder Balls in Encapsulated Semiconductors.- Membrane Pseudo Bacterial Potential Field with GPU Acceleration for Mobile Robot Path Planning.- Error Correction in Quantum Computing.- Supervised Quantum Machine Learning.- Hybrid Quantum Genetic Algorithm with a Strongly Entanglement Recombination Process for Maximizing the Coverage Area of a Set of Unmanned Aerial Vehicles in Natural Disaster Locations.- Review on Quantum Optimization of Type 1, Type 2, and Type 3 Fuzzy Systems.- Review on Quantum Optimization of Neural Networks and Fuzzy Systems.- Finance in the Quantum Computing Era A Survey from 2019 to 2024.- From Classical Challenges to Quantum Solutions Grover's Algorithm for the N Queens Problem.

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