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Advanced Sensing in Image Processing and IoT (Hardcover): Rashmi Gupta, Arun Kumar Rana, Sachin Dhawan, Korhan Cengiz Advanced Sensing in Image Processing and IoT (Hardcover)
Rashmi Gupta, Arun Kumar Rana, Sachin Dhawan, Korhan Cengiz
R3,389 Discovery Miles 33 890 Ships in 10 - 15 working days

The book provides future research directions in IoT and image processing based Energy, Industry, and Healthcare domain and explores the different applications of its associated technologies. However, the Internet of Things and image processing is a very big field with a lot of subfields, which are very important such as Smart Homes to improve our daily life, Smart Cities to improve the citizens' life, Smart Towns to recover the livability and traditions, Smart Earth to protect our world, and Industrial Internet of Things to create safer and easier jobs. This book considers very important research areas in Energy, Industry, and Healthcare domain with IoT and image processing applications.The aim of the book to highlights future directions of optimization methods in various engineering and science applications in various IoT and image processing applications. Emphasis is given to deep learning and similar models of neural network-based learning techniques employed in solving optimization problems of different engineering and science applications. The role of AI in mechatronics is also highlighted using suitable optimization methods. This book considers very important research areas in Energy, Industry, and Healthcare. It addresses major issues and challenges in Energy, Industry, and Healthcare and solutions proposed for IoT-enabled cellular/computer networks, routing/communication protocols, surveillances applications, secured data management, and positioning approaches. It focuses mainly on smart and context-aware implementations. Key sailing Features: The impact of the proposed book is to provide a major area of concern to develop a foundation for the implementation process of new image processing and IoT devices based on Energy, Industry, and Healthcare related technology. The researchers working on image processing and IoT devices can correlate their work with other requirements of advanced technology in Energy, Industry, and Healthcare domain. To make aware of the latest technology like AI and Machine learning in Energy, Industry, and Healthcare related technology. Useful for the researcher to explore new things like Security, cryptography, and privacy in Energy, Industry, and Healthcare related technology. People who want to start in Energy, Industry, and Healthcare related technology with image processing and IoT world.

Internet of Things - Energy, Industry, and Healthcare (Hardcover): Arun Kumar Rana, Ayodeji Olalekan Salau, Sharad Sharma,... Internet of Things - Energy, Industry, and Healthcare (Hardcover)
Arun Kumar Rana, Ayodeji Olalekan Salau, Sharad Sharma, Shubham Tayal, Swati Gupta
R3,374 Discovery Miles 33 740 Ships in 10 - 15 working days

Reviews IoT software architecture and middleware, data processing and management, security, privacy and reliability, architectures, protocols, technologies, algorithms, and smart objects, sensors, and actuators Explores IoT as it applies to energy, including energy efficiency and management, intelligent energy management, smart energy through blockchain and energy-efficient/aware routing/scheduling challenges and issues Examines IoT as it applies to healthcare including biomedical image and signal analysis, and disease prediction and diagnosis Examines IoT as it applies to smart industry including architecture, blockchain, and Industry 4.0 Discusses different ways to create a better IoT network or IoT platform

Convergence of Deep Learning and Artificial Intelligence in Internet of Things (Hardcover): Ajay Rana, Arun Kumar Rana, Sachin... Convergence of Deep Learning and Artificial Intelligence in Internet of Things (Hardcover)
Ajay Rana, Arun Kumar Rana, Sachin Dhawan, Sharad Sharma, Ahmed A. Elngar
R3,805 Discovery Miles 38 050 Ships in 10 - 15 working days

This book covers advances and applications of smart technologies including the Internet of Things (IoT), artificial intelligence, and deep learning in areas such as manufacturing, production, renewable energy, and healthcare. It also covers wearable and implantable biomedical devices for healthcare monitoring, smart surveillance, and monitoring applications such as the use of an autonomous drone for disaster management and rescue operations. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the areas such as electrical engineering, electronics and communications engineering, computer engineering, and information technology. * Covers concepts, theories, and applications of artificial intelligence and deep learning, from the perspective of the Internet of Things. * Discusses powers predictive analysis, predictive maintenance, and automated processes for making manufacturing plants more efficient, profitable, and safe. * Explores the importance of blockchain technology in the Internet of Things security issues. * Discusses key deep learning concepts including trust management, identity management, security threats, access control, and privacy. * Showcases the importance of intelligent algorithms for cloud-based Internet of Things applications. This text emphasizes the importance of innovation and improving the profitability of manufacturing plants using smart technologies such as artificial intelligence, deep learning, and the Internet of Things. It further discusses applications of smart technologies in diverse sectors such as agriculture, smart home, production, manufacturing, transport, and healthcare.

Internet of Things - Robotic and Drone Technology (Hardcover): Nitin Goyal, Sharad Sharma, Arun Kumar Rana, Suman Lata Tripathi Internet of Things - Robotic and Drone Technology (Hardcover)
Nitin Goyal, Sharad Sharma, Arun Kumar Rana, Suman Lata Tripathi
R3,365 Discovery Miles 33 650 Ships in 10 - 15 working days

This reference text discusses intelligent robotic and drone technology with embedded Internet of Things (IoT) for smart applications. The text discusses future directions of optimization methods with various engineering and science fundamentals used in robotics and drone-based applications. Its emphasis is on covering deep learning and similar models of neural network-based learning techniques employed in solving optimization problems of different engineering and science applications. It covers important topics including sensors and actuators in the internet of things (IoT), internet-of-robotics-things (IoRT), IoT in agriculture and food processing, routing challenges in flying Ad-hoc networks, and smart cities. The book will serve as a useful text for graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and mechanical engineering.

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