Handbook of Research on Deep Learning Techniques for Cloud Based Industrial IoT

This book PDF is perfect for those who love Computers genre, written by Swarnalatha, P. and published by IGI Global which was released on 03 July 2023 with total hardcover pages 463. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Handbook of Research on Deep Learning Techniques for Cloud Based Industrial IoT books below.

Handbook of Research on Deep Learning Techniques for Cloud Based Industrial IoT
Handbook of Research on Deep Learning Techniques for Cloud Based Industrial IoT
Author : Swarnalatha, P.
File Size : 48,7 Mb
Publisher : IGI Global
Language : English
Release Date : 03 July 2023
ISBN : 9781668481004
Pages : 463 pages
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Handbook of Research on Deep Learning Techniques for Cloud Based Industrial IoT by Swarnalatha, P. Book PDF Summary

Today’s business world is changing with the adoption of the internet of things (IoT). IoT is helping in prominently capturing a tremendous amount of data from multiple sources. Realizing the future and full potential of IoT devices will require an investment in new technologies. The Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT demonstrates how the computer scientists and engineers of today might employ artificial intelligence in practical applications with the emerging cloud and IoT technologies. The book also gathers recent research works in emerging artificial intelligence methods and applications for processing and storing the data generated from the cloud-based internet of things. Covering key topics such as data, cybersecurity, blockchain, and artificial intelligence, this premier reference source is ideal for industry professionals, engineers, computer scientists, researchers, scholars, academicians, practitioners, instructors, and students.

Handbook of Research on Deep Learning Techniques for Cloud Based Industrial IoT

Handbook of Research on Deep Learning Techniques for Cloud Based Industrial IoT by Swarnalatha, P.,Prabu, S.

Today’s business world is changing with the adoption of the internet of things (IoT). IoT is helping in prominently capturing a tremendous amount of data from multiple sources. Realizing the future and full potential of IoT devices will require an investment in new technologies. The Handbook of Research on

Get Book
Deep Learning Techniques for Cloud based Industrial IoT

Deep Learning Techniques for Cloud based Industrial IoT by Purushotham Swarnalatha,S. Prabu

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Handbook of Research on Machine Learning Enabled IoT for Smart Applications Across Industries by Goel, Neha,Yadav, Ravindra Kumar

Machine learning (ML) and the internet of things (IoT) are the top technologies used by businesses to increase efficiency, productivity, and competitiveness in this fast-paced digital era transformation. ML is the key tool for fast processing and decision making applied to smart city applications and next-generation IoT devices, which require

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Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and developing domains of computer technology. Deep learning algorithms

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Learning Techniques for the Internet of Things

Learning Techniques for the Internet of Things by Praveen Kumar Donta

Download or read online Learning Techniques for the Internet of Things written by Praveen Kumar Donta, published by Springer Nature which was released on . Get Learning Techniques for the Internet of Things Books now! Available in PDF, ePub and Kindle.

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Recently, the internet of things (IoT) has brought the vision of a smarter world into reality with a massive amount of data and numerous services. With the outbreak of the COVID-19 pandemic, artificial intelligence (AI) has gained significant attention by utilizing its machine learning algorithms for quality patient care. The

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In the dynamic field of modern business, where cloud computing has become the primary focus of operations, a pressing issue arises – the persistent concerns of security, privacy, and trust in cloud environments. Organizations find themselves at a crossroads, caught between the immense benefits of cloud adoption and the escalating challenges

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