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Satellite Communications Systems : Systems, Techniques and Technology
The updated 6th edition of the authoritative and comprehensive textbook to the field of satellite communications engineering The revised and updated sixth edition of Satellite Communications Systems contains information on the most recent advances related to satellite communications systems, technologies, network architectures and new requirements of services and applications.The authors – noted experts on the topic – cover the state-of-the-art satellite communication systems and technologies and examine the relevant topics concerning communication and network technologies, concepts, techniques and algorithms.New to this edition is information on internetworking with the broadband satellite systems, more intensive coverage of Ka band technologies, GEO high throughput satellite (HTS), LEO constellations and the potential to support the current new broadband Internet services as well as future developments for global information infrastructure. The authors offer details on digital communication systems and broadband networks in order to provide high-level researchers and professional engineers an authoritative reference.In addition, the book is designed in a user-friendly format.This important text: Puts the focus on satellite communications and networks as well as the related applications and servicesProvides an essential, comprehensive and authoritative updated guide to the topicContains new topics including the space segment, ground, ground satellite control and network management, relevant terrestrial networks and moreIncludes helpful illustrations, tables and problems to enhance learningOffers a summary at the beginning of each chapter to help understand the concepts and principles discussed Written for research students studying or researching in the areas related to satellite communications systems and networks, the updated sixth edition of Satellite Communications Systems offers an essential guide to the most recent developments in the field of satellite communications engineering and references to international standards.
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Engineering Deep Learning Systems
Design systems optimized for deep learning models. Written for software engineers, this book teaches you how to implement a maintainable platform for developing deep learning models. In Engineering Deep Learning Systems you will learn how to: Transfer your software development skills to deep learning systemsRecognize and solve common engineering challenges for deep learning systemsUnderstand the deep learning development cycleAutomate training for models in TensorFlow and PyTorchOptimize dataset management, training, model serving and hyperparameter tuningPick the right open-source project for your platformEngineering Deep Learning Systems is a practical guide for software engineers and data scientists who are designing and building platforms for deep learning.It's full of hands-on examples that will help you transfer your software development skills to implementing deep learning platforms.You'll learn how to build automated and scalable services for core tasks like dataset management, model training/serving, and hyperparameter tuning.This book is the perfect way to step into an exciting-and lucrative-career as a deep learning engineer. about the technology Behind every deep learning researcher is a team of engineers bringing their models to production.To build these systems, you need to understand how a deep learning system's platform differs from other distributed systems.By mastering the core ideas in this book, you'll be able to support deep learning systems in a way that's fast, repeatable, and reliable.
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Arthur Erickson on Learning Systems
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Knowledge Management Systems Design : Innovation and Strategy
Knowledge Capital, vital for organizations' sustainability, competitiveness, and stability, can be regenerated in a value-added manner, enabling the development of high-quality products and services through innovative Knowledge Management (KM) techniques.One effective approach is establishing and implementing ISO-compliant Knowledge Management Systems (KMS) across various sectors. Covering nearly all aspects of Knowledge Management, this book offers a comprehensive overview of the evolution and description of core theories, along with their applications in a few case studies that thoroughly analyze the necessary procedures and technologies for developing KMS.The book encompasses the latest trends showcasing the increasing integration of artificial intelligence techniques within KM practices, as discernible through scores of service providers.Additionally, it addresses the challenges of measuring the effectiveness of KM techniques and the value they bring to organizations, thereby supporting the successful and sustainable implementation of KM.It also highlights innovative frameworks such as the Virtuous KM Cycle, MASK techniques, the Daisy Model, and the Husain-Ermine AI-KM Model. The publication is an essential resource for students and researchers specializing in Knowledge Management, as well as for managers, academicians, and practitioners in both the public and private sectors.
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Control Systems and Reinforcement Learning
A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of 'deep' or 'Q', or why the code sometimes fails.This book is designed to explain the science behind reinforcement learning and optimal control in a way that is accessible to students with a background in calculus and matrix algebra.A unique focus is algorithm design to obtain the fastest possible speed of convergence for learning algorithms, along with insight into why reinforcement learning sometimes fails.Advanced stochastic process theory is avoided at the start by substituting random exploration with more intuitive deterministic probing for learning.Once these ideas are understood, it is not difficult to master techniques rooted in stochastic control.These topics are covered in the second part of the book, starting with Markov chain theory and ending with a fresh look at actor-critic methods for reinforcement learning.
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Deep Learning for Vision Systems
Computer vision is central to many leading-edge innovations, including self-driving cars, drones, augmented reality, facial recognition, and much, much more.Amazing new computer vision applications are developed every day, thanks to rapid advances in AI and deep learning (DL). Deep Learning for Vision Systems teaches you the concepts and tools for building intelligent, scalable computer vision systems that can identify and react to objects in images, videos, and real life.With author Mohamed Elgendy's expert instruction and illustration of real-world projects, you'll finally grok state-of-the-art deep learning techniques, so you can build, contribute to, and lead in the exciting realm of computer vision! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
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Museums and Interactive Virtual Learning
Museums and Interactive Virtual Learning provides informal educators with practical resources that will help them to build dynamic digital engagement experiences within their own cultural organizations. Presenting vignettes from experienced museum educators and end users, as well as scientific data and practical resources, the book highlights the mutual benefits that Interactive Virtual Learning (IVL) programs offer to the museum and those visiting from a distance.Chapters mirror the step-by-step process of developing reputable IVL programs and emphasize how important it is for cultural organizations to encourage cross-departmental collaboration, if they wish to ensure that their programs align with the overall goals of the organization.Providing a thorough overview of the technologies, budget, marketing and staff requirements, the authors offer a realistic depiction of the work involved in building content for digital engagement.Emphasizing the importance of assessing existing programming, the book shows how institutions can adapt content to fit a virtual format and create inclusive digital engagement opportunities that reach local, national, and international audiences. Museums and Interactive Virtual Learning is an essential guide for professionals who are tasked with interpreting the content of a cultural organization and building lasting digital engagement opportunities.It will be particularly useful to those looking to reach diverse audiences.
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Modern Diesel Technology : Heavy Equipment Systems
MODERN DIESEL TECHNOLOGY: HEAVY EQUIPMENT SYSTEMS, Third Edition, focuses on off-highway mobile equipment systems, giving you in-depth coverage of service and repair essentials for heavy equipment, agricultural equipment, and powered lift truck technology.Written by experienced technicians, this trusted text includes both universal and manufacturer-specific information on everything from hydraulics, heavy-duty brakes, drivetrains, steering, suspension, and track systems, to safety and best practices.Now featuring a visually appealing, full-color design, the Third Edition is also newly updated with information on the latest computer-controlled hydraulics, GPS, electronic controls, J1939 multiplexing, and electric drive vehicle systems, offering insights into important trends and technology you need to know for success as a specialty technician in today’s ever-evolving industry.
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