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AI and IoT-Based Intelligent Automation in Robotics
exploration of AI and IoT based intelligent automation in robotics. The various algorithms and frameworks for robotics based on AI and IoT are;
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Industrial Internet of Things (Iiot): Intelligent Analytics for Predictive Maintenance
, robotic and intelligent systems, and web-based applications which will be of interest to working professionals and those in education and research;
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Artificial Intelligence for Future Generation Robotics
. Each chapter includes theory and mathematics to stimulate novel research directions based on the state-of-the-art in AI and smart robotics;
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Proceedings of 2019 Chinese Intelligent Automation Conference
of topics including intelligent control, robotics, artificial intelligence, pattern recognition, unmanned systems, IoT and machine learning. It;
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Proceedings of 2019 Chinese Intelligent Automation Conference
of topics including intelligent control, robotics, artificial intelligence, pattern recognition, unmanned systems, IoT and machine learning. It;
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Industrial IoT Application Architectures and Use Cases
systems to make intelligent decisions. Industrial IoT Application Architectures and Use Cases explores how artificial intelligence (AI), data;
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Industrial IoT Application Architectures and Use Cases
analytics, and IoT technology combine to promote intelligent decision-making and automation in a range of industries. With faster, more stable AI;
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Advancements in Mechatronics and Intelligent Robotics
This book gathers selected papers presented at the Fourth International Conference on Mechatronics and Intelligent Robotics (ICMIR 2020;
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Recent Developments in Mechatronics and Intelligent Robotics
This book gathers selected papers presented at the Third International Conference on Mechatronics and Intelligent Robotics (ICMIR 2019;
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Mastering Digital Business
, analytics, cloud, wearables, intelligent automation, robotics, and the IoT) can be applied in powerful combinations, together with platform business;
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Mastering Digital Business
, analytics, cloud, wearables, intelligent automation, robotics, and the IoT) can be applied in powerful combinations, together with platform business;
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Intelligent Connectivity - AI, IoT, and 5G
INTELLIGENT CONNECTIVITY AI, IOT, AND 5G Explore the economics and technology of AI, IOT, and 5G integration Intelligent Connectivity;
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Artificial Intelligence for a Sustainable Industry 4.0
cities. Applications include waste minimization, re-manufacturing, reuse and recycling technologies using IoTAI, Industry 4.0, intelligent and;
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AI 2006: Advances in Artificial Intelligence
, Australia, December 2006. Coverage includes foundations and knowledge based system, machine learning, connectionist AI, data mining, intelligent;
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Advances in Intelligent Robotics and Collaborative Automation
distributed sensing and data integration methodologies that can be applied to intelligent robotics and automation systems. The objective of the text;
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Artificial Intelligence Applications for Smart Societies
in transportation and communications systems. The second focus is on AI-based Internet of Things (IoT) systems, which addresses applications in traffic;
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Robotics and Automation in the Food Industry
The implementation of robotics and automation in the food sector offers great potential for improved safety, quality and profitability by;
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Internet of Things
This reference text discusses intelligent robotic and drone technology with embedded Internet of Things (IoT) for smart applications;
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IoT System Testing
detailed study of IoT software test labs, architecture, environments and AI. There are many options for testing IoT qualities based on the;
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Intelligent IoT Systems in Personalized Health Care
, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT and its;
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Efficient Computation of Argumentation Semantics
decomposition methods that drive increasingly efficient logic computation in AI and intelligent systems. Such complex and distributed systems are;
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Cambrian Intelligence
Until the mid-1980s, AI researchers assumed that an intelligent system doing high-level reasoning was necessary for the coupling;
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Artificial Intelligence and IoT
prospective of IoT, it has to be amalgamated with AI technologies. Predictive and advanced analysis can be made based on the data collected;
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Modelling Simulation and Intelligent Computing
engineering applications, such as Robotics and Automation, Healthcare Technologies, IoT and its Applications. Featuring the latest advances in the;
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Artificial Intelligence in IoT
addressing the major challenges in realizing the artificial intelligence in IoT-based applications including challenges that vary from cost and;
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Introduction to AI Robotics
framework for thinking about AI for robotics, distinguishing between the fundamentally different design paradigms of automation and autonomy. The;
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