Mary anitha (55 resultados)

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hardcover. Condición: Very Good.

Condición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

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Paperback. Condición: Brand New. 75 pages. 9.25x6.10x0.16 inches. In Stock.

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Taschenbuch. Condición: Neu. A Beginners Guide for Machine Learning Models with Python Environment | X. Anitha Mary (u. a.) | Taschenbuch | 184 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200566850 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. …

Paperback. Condición: Brand New. 184 pages. 8.66x5.91x0.42 inches. In Stock.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a clear and contemporary understanding of the fundamental concepts, principles, and applications of biosensors. It serves as a cutting-edge resource for readers to gain both theoretical knowledge and practical skills in science and technology. Designed for researchers, students at all levels, and professionals in research and education, it offers valuable introductory material while also exploring the future prospects of the field. Written by experienced authors, the book systematically covers the principles, techniques, and applications of biosensors, addressing a gap in existing literature that often overlooks practical applications and results-oriented experimental protocols. It delves into current and future trends in applied techniques that are rarely found elsewhere and combines theoretical content with laboratory protocols (accompanied by videos), experimental procedures, and problem sets with solutions. Additionally, it incorporates the latest advancements in biotechnology for a practical, application-driven approach.…

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Paperback. Condición: New. The chasm between the physical capabilities of Intelligent Robotics and Autonomous Systems (IRAS) and their cognitive potential presents a formidable challenge. While these machines exhibit astonishing strength, precision, and speed, their intelligence and adaptability lag far behind. This inherent limitation obstructs the realization of autonomous systems that could reshape industries, from self-driving vehicles to industrial automation. The solution to this dilemma is unveiled within the pages of Modeling, Simulation, and Control of AI Robotics and Autonomous Systems . Find within the pages of this book answers for the cognitive deficit within IRAS. While these systems boast remarkable physical capabilities, their potential for intelligent decision-making and adaptation remains stunted, thereby bringing innovation to a halt. Solving this issue would mean the re-acceleration of multiple industries that could utilize automation to prevent humans from needing to do work that is dangerous, and could revolutionize transportation, and more. This comprehensive volume delves deep into the intricacies of IRAS, addressing the integration of artificial intelligence into robotics, machine vision, computational intelligence, sensors and actuators, and human-robot interactions. By offering cutting-edge insights and theoretical techniques, this book provides the pathway to the development of advanced robots and autonomous systems. These innovations are poised to usher in an era where the annual economic impact of these technologies will rival that of the mobile internet, advanced materials, and energy markets by 2025. For academics, scholars, and researchers, this book serves as a powerful catalyst for unlocking the untapped potential of IRAS, heralding a transformative revolution in the field. Modeling, Simulation, and Control of AI Robotics and Autonomous Systems offers an innovative solution that beckons to scholars, academicians, industrialists, and researchers.…

Condición: New.

Condición: New.

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Paperback. Condición: New. The chasm between the physical capabilities of Intelligent Robotics and Autonomous Systems (IRAS) and their cognitive potential presents a formidable challenge. While these machines exhibit astonishing strength, precision, and speed, their intelligence and adaptability lag far behind. This inherent limitation obstructs the realization of autonomous systems that could reshape industries, from self-driving vehicles to industrial automation. The solution to this dilemma is unveiled within the pages of Modeling, Simulation, and Control of AI Robotics and Autonomous Systems . Find within the pages of this book answers for the cognitive deficit within IRAS. While these systems boast remarkable physical capabilities, their potential for intelligent decision-making and adaptation remains stunted, thereby bringing innovation to a halt. Solving this issue would mean the re-acceleration of multiple industries that could utilize automation to prevent humans from needing to do work that is dangerous, and could revolutionize transportation, and more. This comprehensive volume delves deep into the intricacies of IRAS, addressing the integration of artificial intelligence into robotics, machine vision, computational intelligence, sensors and actuators, and human-robot interactions. By offering cutting-edge insights and theoretical techniques, this book provides the pathway to the development of advanced robots and autonomous systems. These innovations are poised to usher in an era where the annual economic impact of these technologies will rival that of the mobile internet, advanced materials, and energy markets by 2025. For academics, scholars, and researchers, this book serves as a powerful catalyst for unlocking the untapped potential of IRAS, heralding a transformative revolution in the field. Modeling, Simulation, and Control of AI Robotics and Autonomous Systems offers an innovative solution that beckons to scholars, academicians, industrialists, and researchers.…

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: New.