Adaptive Machine Learning Algorithms (66 results)

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Softcover. Condition: New. Dust Jacket Condition: no dj. First. The development of adaptive gripper technologies is a rapidly evolving field, with machine learning algorithms playing a key role in the design and deployment of these systems. Machine Learning Algorithms Behind Adaptive Gripper Technologies offers a comprehensive examination of the latest advancements in machine learning and robotics, highlighting the ways in which these technologies are being used to create adaptive grippers that can interact with and manipulate a wide range of objects. By exploring the intersection of machine learning and robotics, this book provides readers with a deeper understanding of the complex interactions between adaptive grippers and their environment. With its focus on the cutting-edge technologies and techniques being used in this field, Machine Learning Algorithms Behind Adaptive Gripper Technologies is a must-read for anyone interested in the development of adaptive gripper technologies. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Adaptive Storytelling Through Machine Learning Algorithms is a cutting-edge examination of the potential applications of machine learning algorithms in storytelling. By examining the ways in which machine learning can be used to create dynamic, adaptive narratives, this book provides a detailed analysis of the creative possibilities and technical challenges associated with this emerging technology. From the use of AI-generated content to the development of personalized storytelling experiences, Adaptive Storytelling Through Machine Learning Algorithms offers a compelling vision of the future of storytelling. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Adaptive Traffic Light Algorithms Using Machine Learning presents a cutting-edge exploration of the potential of machine learning algorithms to enhance traffic light management. This insightful book examines the ways in which machine learning algorithms can be used to improve traffic flow, reduce congestion, and enhance public safety. By analyzing the benefits and challenges of machine learning algorithms, this book provides a comprehensive guide for transportation professionals seeking to integrate these technologies into their projects. From the design of machine learning algorithms to the impact on traffic management, Adaptive Traffic Light Algorithms Using Machine Learning offers a nuanced understanding of the opportunities and challenges presented by machine learning algorithms. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Machine Learning Algorithms Behind Adaptive Gripper Technologies investigates the application of machine learning to enhance robotic gripping capabilities. This book discusses algorithms that enable robots to adapt to objects of varying shapes, sizes, and textures. It covers training methods, sensor integration, and feedback systems that improve grip strength and precision. The narrative underscores the significance of intelligent algorithms in expanding the versatility and effectiveness of robotic manipulators across diverse tasks and environments. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. The problem of dropout in machine learning is a pervasive challenge that has stymied researchers and practitioners alike. This book offers a comprehensive treatment of the latest adaptive algorithms designed to mitigate this issue, providing a nuanced understanding of the underlying causes and consequences of dropout. By exploring the intersection of machine learning, statistics, and optimization, the author offers a rich understanding of the complex trade-offs involved in developing effective solutions to this pressing problem. As machine learning continues to transform industries and applications, this book serves as a vital resource for researchers and developers seeking to overcome the limitations of traditional approaches. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Adaptive Traffic Systems Using Machine Learning Algorithms presents a cutting-edge exploration of the potential for machine learning algorithms to revolutionize traffic management. By examining the latest advances in machine learning and their applications in traffic systems, this book offers a comprehensive overview of the opportunities and challenges facing the industry. From the development of intelligent traffic signals to the use of machine learning in traffic prediction and optimization, this book provides a detailed understanding of the role that machine learning can play in promoting efficiency and reducing congestion. Through a critical examination of existing research and case studies, this book sheds light on the potential for machine learning to serve as a catalyst for positive change in the field of transportation. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Adaptive Traffic Light Algorithms Using Machine Learning explores the potential of machine learning algorithms to improve the efficiency and safety of traffic light systems. By examining the design and implementation of adaptive traffic light algorithms, this book provides a comprehensive understanding of the opportunities and challenges associated with this approach. From the use of real-time data and machine learning models to the integration of traffic light systems with other transportation modes, this book offers a detailed analysis of the adaptive traffic light solution. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. In today's fast-paced and interconnected world, supply chain resilience is more crucial than ever. Building Resilient Supply Chains with Adaptive Machine Learning Algorithms presents a cutting-edge approach to supply chain management, leveraging the power of machine learning to create adaptive and responsive systems. By integrating machine learning algorithms with real-time data analysis, this book demonstrates how organizations can anticipate and mitigate disruptions, optimize inventory management, and improve overall supply chain efficiency. With a focus on practical applications and case studies, Building Resilient Supply Chains with Adaptive Machine Learning Algorithms provides a comprehensive guide for supply chain professionals seeking to future-proof their operations. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Deep Dive into Adaptive Machine Learning Algorithms presents a comprehensive exploration of the principles and applications of adaptive machine learning algorithms. This book examines the concept of adaptive machine learning, which enables real-time learning and adaptation to complex data. By analyzing real-world examples and case studies, readers gain insight into the benefits and challenges of implementing adaptive machine learning, from improved efficiency and productivity to enhanced innovation and creativity. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Adaptive Storytelling Through Machine Learning Algorithms offers a cutting-edge exploration of the potential of machine learning algorithms to create adaptive, interactive stories that respond to the needs and preferences of individual viewers. The book examines the latest trends and innovations in adaptive storytelling, including the use of AI-powered narrative design and the impact of machine learning on traditional storytelling techniques. Through a series of in-depth case studies and practical examples, this book provides a comprehensive guide to creating adaptive stories that engage and challenge audiences. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Adaptive Supply Chain Planning with Machine Learning Algorithms is a cutting-edge exploration of the role of machine learning in supply chain planning. This book presents a comprehensive overview of the latest machine learning techniques and their applications in supply chain optimization, including predictive analytics, demand forecasting, and inventory management. It provides a practical guide for supply chain professionals seeking to leverage machine learning to improve the agility and responsiveness of their supply chain operations. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Machine learning has revolutionized the way we approach complex problems, but its full potential remains largely untapped. Deep Dive into Adaptive Machine Learning Algorithms offers a profound exploration of the adaptive machine learning paradigm, which enables systems to learn and adapt in real-time, adapting to changing environments and data distributions. This book provides a thorough examination of the underlying theories, algorithms, and applications of adaptive machine learning, including its applications in areas such as natural language processing, computer vision, and recommender systems. With its rigorous analysis and expert insights, Deep Dive into Adaptive Machine Learning Algorithms is an indispensable resource for researchers, engineers, and data scientists seeking to unlock the full potential of machine learning. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Adaptive Lighting Systems Using Machine Learning Algorithms presents a comprehensive exploration of the intersection of artificial intelligence and lighting design. By leveraging machine learning algorithms, this book reveals how smart lighting systems can be optimized to create immersive environments that respond to human behavior and preferences. From energy-efficient solutions to innovative applications in healthcare and education, this book provides a nuanced understanding of the potential of adaptive lighting systems. By examining the cutting-edge technologies and methodologies that underpin this field, readers will gain a deeper appreciation for the transformative power of adaptive lighting systems in shaping our daily lives. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. As we strive to create a more responsive and intuitive home environment, adaptive lighting systems have emerged as a key component. Adaptive Lighting Systems Using Machine Learning Algorithms presents a comprehensive guide to designing and implementing lighting systems that can adjust to the needs of its occupants. By leveraging machine learning algorithms and sensor data, readers will learn to create a dynamic lighting system that not only enhances the aesthetic appeal of their home but also optimizes energy efficiency and user experience. With its focus on innovative technology and practical applications, this book is an essential resource for anyone looking to take their home automation to the next level. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. The integration of machine learning algorithms and IoT technologies is poised to revolutionize manufacturing, enabling more efficient, flexible, and adaptive production processes. Adaptive Manufacturing Lines Driven by Machine Learning Algorithms provides a comprehensive examination of the latest advancements in machine learning and IoT manufacturing applications. By examining the potential of machine learning in predictive maintenance, quality control, and supply chain optimization, readers can gain insights into the transformative impact of this technology on manufacturing. This book offers a practical guide to the intersection of machine learning, IoT, and manufacturing, empowering innovators to develop more efficient, productive, and sustainable production systems. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Cultural algorithms are a type of adaptive machine learning algorithm that draws inspiration from cultural evolution and social learning. This book explores the application of cultural algorithms in various machine learning tasks, including classification, regression, and clustering. The author discusses the various components of cultural algorithms, including the use of cultural operators, memory structures, and social learning mechanisms. With its focus on the intersection of machine learning and cultural evolution, this book is a valuable resource for researchers and practitioners seeking to develop more adaptive and robust machine learning models. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. As cities continue to grow and urbanize, the need for efficient and adaptive street lighting has never been greater. Adaptive Street Lighting Using Machine Learning Algorithms presents a cutting-edge approach to optimizing street lighting systems using machine learning algorithms. By harnessing the power of data analytics and sensor technology, this book reveals the potential for significant reductions in energy consumption and improved public safety. From the design and implementation of adaptive street lighting systems to the integration of machine learning algorithms, the authors provide a comprehensive roadmap for cities to transition to a more efficient, sustainable future. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Street lighting is a critical component of urban infrastructure. Adaptive Street Lighting Using Machine Learning Algorithms presents a cutting-edge approach to optimizing street lighting using machine learning algorithms. This book explores the role of machine learning in predicting and adapting to changing lighting needs, optimizing energy consumption, and enhancing public safety. By leveraging machine learning algorithms, cities can create more efficient, sustainable, and resilient street lighting systems. With a focus on the latest machine learning technologies and best practices, this book provides a comprehensive guide to implementing adaptive street lighting using machine learning algorithms. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Traffic congestion is a major challenge for urban planners and transportation engineers, but traditional solutions have been limited by their inflexibility and lack of adaptability. This book explores the use of machine learning algorithms to create adaptive traffic systems, highlighting the potential of these approaches to improve traffic flow and reduce congestion. By examining the design and operation of these systems, researchers can identify opportunities for improving their performance and efficiency, reducing the risk of accidents and improving the quality of life for urban residents. As the world grapples with the challenges of urbanization and transportation, creating adaptive traffic systems is essential for creating more sustainable and livable cities. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. 'Adaptive Algorithms in Primitive Machine Learning Models' examines the foundational algorithms that enable early-stage machine learning systems to adapt and improve over time. It discusses the principles of adaptive learning, feedback mechanisms, and the challenges faced by basic models in dynamic environments. The book emphasizes the importance of flexibility and resilience in algorithm design, providing insights into how simple models can evolve to handle complex tasks. This work serves as a bridge between fundamental concepts and more advanced adaptive systems. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Machine Learning Algorithms Shaping Adaptive Assessments explores how AI-driven algorithms tailor evaluations to individual learners' abilities. The book discusses the development of adaptive testing systems that dynamically adjust question difficulty, providing accurate measures of knowledge and skills. It emphasizes the benefits of personalized assessments in identifying strengths and weaknesses, thereby informing targeted interventions. This work underscores the role of machine learning in creating more responsive, efficient, and fair evaluation methods within educational settings. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Adaptive Traffic Control Using Machine Learning Algorithms presents a cutting-edge approach to the development of intelligent transportation systems, emphasizing the importance of machine learning algorithms in adaptive traffic control. By examining the latest research and case studies, this book provides a comprehensive guide for transportation professionals, policymakers, and industry leaders seeking to ensure the safety, efficiency, and sustainability of transportation systems. From the use of real-time data analytics to the creation of predictive models, this book showcases the potential of machine learning algorithms to transform traffic control and promote economic growth and social equity. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. The fusion of machine learning algorithms and wearable technology has given rise to a new generation of adaptive fitness wearables, capable of tailoring workouts to individual users. This book examines the intricacies of machine learning-driven wearables, revealing how these devices can analyze user data, predict performance, and optimize fitness routines. By exploring the intersection of machine learning, wearables, and fitness, this authoritative guide offers a comprehensive understanding of the transformative potential of adaptive fitness wearables. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.