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Advancements in Interdisciplinary Research - First International Conference, AIR 2022, Prayagraj, India, May 6-7, 2022, Revised Selected Papers (Paperback, 1st ed. 2022)
Vijayan Sugumaran, Divya Upadhyay, Shanu Sharma
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This volume constitutes selected and revised papers presented at
the First International Conference on Advancements in
Interdisciplinary Research, AIR 2022, held in Allahabad, India, in
May 2022. The 49 papers were thoroughly reviewed and selected from
the 252 submissions. They are organized in topical sections on
novel technologies enabled secured privacy models and optimized
networking infrastructures toward secure industries; developments
towards sustainable healthcare sector; machine learning and deep
learning enabled applications in different sectors; robotics and
computer vision for intelligent automation in industries; trending
technologies: frameworks and applications focusing real life
issues.
With the development of innovative technologies, the study of
industrial automation is obtaining extraordinary attention from
academia, governments, researchers, and various industrial
communities. The technical innovations in advanced technologies
such as deep learning, blockchain, artificial intelligence of
things (AIOT), and more have unlocked the potential for bringing
intelligent automation and efficiency to the industries to control
their various operations. These new technologies provide an
efficient and secure way for industries to manage and develop
products intelligently. Revolutionizing Industrial Automation
Through the Convergence of Artificial Intelligence and the Internet
of Things includes the recent advancements in exploring and
developing AIOT-powered strategies and mechanisms for future
industrial automation and transforming industrial functions and
architectures to help improve various industrial operations.
Covering topics such as convolutional neural networks, smart urban
logistics, and industrial automation, this premier reference source
is an excellent resource for computer scientists, IT managers,
engineers, business leaders and executives, logistics managers,
students and faculty of higher education, libraries, researchers,
and academicians.
With the development of innovative technologies, the study of
industrial automation is obtaining extraordinary attention from
academia, governments, researchers, and various industrial
communities. The technical innovations in advanced technologies
such as deep learning, blockchain, artificial intelligence of
things (AIOT), and more have unlocked the potential for bringing
intelligent automation and efficiency to the industries to control
their various operations. These new technologies provide an
efficient and secure way for industries to manage and develop
products intelligently. Revolutionizing Industrial Automation
Through the Convergence of Artificial Intelligence and the Internet
of Things includes the recent advancements in exploring and
developing AIOT-powered strategies and mechanisms for future
industrial automation and transforming industrial functions and
architectures to help improve various industrial operations.
Covering topics such as convolutional neural networks, smart urban
logistics, and industrial automation, this premier reference source
is an excellent resource for computer scientists, IT managers,
engineers, business leaders and executives, logistics managers,
students and faculty of higher education, libraries, researchers,
and academicians.
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