Wiley apr 2027 (3 resultados)

Buch. Condición: Neu. Neuware - Revolutionize your machine learning practice with this essential book that provides expert insights into leveraging Graph Convolutional Networks (GCNNs) to overcome the limitations of traditional CNNs. In the last decade, computer vision has become a major focus for addressing the world's growing processing needs. Many existing deep learning architectures for computer vision challenges are based on convolutional neural networks (CNNs). Despite their great achievements, CNNs struggle to encode the intrinsic graph patterns in specific learning tasks. In contrast, graph convolutional networks have been used to address several computer vision issues with equivalent or superior results. The use of GCNNs has shown significant achievement in image classifications, video understanding, point clouds, meshes, and other applications in natural language processing. This book focuses on the applications of graph convolutional networks in computer vision. Through expert insights, it explores how researchers are finding ways to perform convolution algorithms on graphs to improve the way we use machine learning.…

Buch. Condición: Neu. Neuware - Unlock the power to navigate real-world uncertainty with this comprehensive guide, blending foundational theory with practical case studies to show you exactly how to integrate fuzzy logic and machine learning for unmatched predictive accuracy. Machine learning has emerged as a transformative force in modern research, and the integration of fuzzy logic with machine learning techniques has shown significant promise in improving accuracy and precision. Fuzzy logic is based on the principles of uncertainty and has applications across a wide range of predictive and probabilistic environments. From agriculture to healthcare and numerous other sectors, fuzzy logic can be utilized to develop innovative and effective solutions. This book examines the pivotal role of fuzzy logic in enhancing computational systems' ability to handle uncertainty and imprecision. The book provides a thorough introduction to fuzzy logic, explaining its fundamental concepts and theories while demonstrating its capacity to mimic human reasoning to address vagueness and ambiguity. It explores practical applications in decision-making, pattern recognition, and control systems, with examples such as Nissan's anti-lock brakes, Honda's auto engines, and Mitsubishi Electric's elevator controls. Beyond artificial intelligence and machine learning, fuzzy logic finds applications in fields like evolutionary computing, computer vision, and image processing, enabling advancements in classifier optimization and fine-tuning. By integrating theoretical foundations with practical applications and future directions, the book serves as an essential resource for understanding and leveraging fuzzy logic in computational intelligence and across diverse interdisciplinary domains. The reader will find the volume: - Explores the core principles of fuzzy logic and its integration into computational intelligence, providing a strong theoretical foundation for researchers and practitioners;- Features diverse case studies demonstrating the practical implementation of fuzzy logic in fields such as healthcare, robotics, finance, and engineering;- Showcases how fuzzy systems enhance decision-making in uncertain and complex environments, offering tools to tackle real-world challenges;- Written to cater to both beginners seeking an introduction and experts aiming to deepen their knowledge in fuzzy logic systems. Audience Researchers, academics, graduate students, engineers, data scientists, and AI technologists in computer science, artificial intelligence, and applied mathematics seeking advanced insights into fuzzy logic systems and their applications.…

Buch. Condición: Neu. Neuware - Discover how to harness the power of Industry 4.0 with this comprehensive, case-study-driven guide that bridges the gap between advanced smart manufacturing technologies and actionable, sustainable industrial growth. Smart manufacturing, often associated with Industry 4.0, leverages advanced technologies to revolutionize traditional manufacturing processes. Key processes involve data collection and analysis from sensors embedded in machines and equipment, enabling real-time monitoring, predictive maintenance, and process optimization. This data-driven approach fosters greater efficiency, flexibility, and agility in manufacturing operations. Smart manufacturing finds applications across various industries, including automotive, aerospace, electronics, and pharmaceuticals. This book presents key findings, solutions, and implementation perspectives on smart manufacturing and sustainable development. It addresses urgent economic, social, and industrial challenges by outlining current trends, advanced technologies, product design strategies, and practical tactics for information sharing and solution deployment within businesses. Expert insights and real-world case studies provide a comprehensive overview of smart manufacturing, including the role that technologies such as machine learning, cyber-physical systems, and the Internet of Things play in this emerging field. Ultimately, it highlights critical areas of action needed to make the world more sustainable and livable today and in the future. Readers will find the volume: - Covers the technologies for successful improvement in advanced processes and the application of smart manufacturing technologies; - Introduces existing and emerging smart manufacturing technologies; - Discusses the successful utilization of multipurpose technologies, processes, applications, future scopes, and challenges of smart manufacturing technologies. Audience Engineers, researchers, and academics of various disciplines, specifically mechanics, manufacturing, biomedicine, industrial engineering, electronics, and computer science.…