adaptive machine learning algorithms (52 resultados)

Condición: Hervorragend. Zustand: Hervorragend | Seiten: 300 | Sprache: Englisch | Produktart: Bücher.

Condición: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Condición: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

Condición: New. In.

Condición: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

Condición: Good. Good condition ex-library book with usual library markings and stickers.

Softcover. Condición: New. Estado de la sobrecubierta: 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. Condición: New. Estado de la sobrecubierta: 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. Condición: New. Estado de la sobrecubierta: 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.

Condición: good. The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.

Softcover. Condición: New. Estado de la sobrecubierta: 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. Condición: New. Estado de la sobrecubierta: 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. Condición: New. Estado de la sobrecubierta: 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. Condición: New. Estado de la sobrecubierta: 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. Condición: New. Estado de la sobrecubierta: no dj. First. Adaptive Quality Control Systems Using Machine Learning Algorithms presents a comprehensive overview of intelligent systems that dynamically respond to process variations. This work explores the integration of machine learning techniques into quality control frameworks, enabling real-time adjustments and predictive analytics. It emphasizes the importance of data-driven decision-making in maintaining consistent product standards. The book underscores how adaptive systems can revolutionize traditional quality management by offering flexibility, precision, and proactive defect prevention. 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. Condición: New. Estado de la sobrecubierta: no dj. First. Adaptive Traffic Control Using Machine Learning Algorithms explores the application of artificial intelligence in managing urban traffic flow. It discusses how machine learning models can analyze real-time data to optimize signal timings, reduce congestion, and improve safety. The book emphasizes the potential for adaptive systems to respond dynamically to changing traffic conditions, enhancing overall mobility. It highlights innovative algorithms and their implementation in smart city infrastructure, paving the way for more intelligent transportation management. 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.