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2020 International Conference on Electronics and Sustainable Communication Systems (ICESC)

Author : IEEE Staff
Publisher :
Page : pages
File Size : 33,44 MB
Release : 2020-07-02
Category :
ISBN : 9781728141091

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International conference on Electronics and Sustainable Communication Systems (ICESC 2020) is one of the eminent conferences organized by Hindustan Institute of Technology, Coimbatore, India dedicated to drive innovation in nearly every aspect of electronic and communication systems The primary aim of ICESC 2020 is to promote the high quality and sustainable research works in an international platform of scientists, researchers, and industrialists by bringing together the state of the art research work in different facets of electronics and communication systems and discuss, share and exchange the research ideas under one common platform Prospective authors are invited to contribute and address different themes and topics of the conference

Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing

Author : Amit Kumar
Publisher : Springer Nature
Page : 757 pages
File Size : 28,92 MB
Release : 2023-11-02
Category : Technology & Engineering
ISBN : 9819927463

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This book includes original, peer-reviewed articles from the 2nd International Conference on Cognitive & Intelligent Computing (ICCIC-2022), held at Vasavi College of Engineering Hyderabad, India. It covers the latest trends and developments in areas of cognitive computing, intelligent computing, machine learning, smart cities, IoT, artificial intelligence, cyber-physical systems, cybernetics, data science, neural network, and cognition. This book addresses the comprehensive nature of computational intelligence, cognitive computing, AI, ML, and DL to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. Submissions are original, unpublished, and present in-depth fundamental research contributions either from a methodological/application perspective in understanding artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications.

Heterogenous Computational Intelligence in Internet of Things

Author : Pawan Singh
Publisher : CRC Press
Page : 376 pages
File Size : 11,49 MB
Release : 2023-10-23
Category : Computers
ISBN : 1000967948

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We have seen a sharp increase in the development of data transfer techniques in the networking industry over the past few years. We can see that the photos are assisting clinicians in detecting infection in patients even in the current COVID-19 pandemic condition. With the aid of ML/AI, medical imaging, such as lung X-rays for COVID-19 infection, is crucial in the early detection of many diseases. We also learned that in the COVID-19 scenario, both wired and wireless networking are improved for data transfer but have network congestion. An intriguing concept that has the ability to reduce spectrum congestion and continuously offer new network services is providing wireless network virtualization. The degree of virtualization and resource sharing varies between the paradigms. Each paradigm has both technical and non-technical issues that need to be handled before wireless virtualization becomes a common technology. For wireless network virtualization to be successful, these issues need careful design and evaluation. Future wireless network architecture must adhere to a number of Quality of Service (QoS) requirements. Virtualization has been extended to wireless networks as well as conventional ones. By enabling multi-tenancy and tailored services with a wider range of carrier frequencies, it improves efficiency and utilization. In the IoT environment, wireless users are heterogeneous, and the network state is dynamic, making network control problems extremely difficult to solve as dimensionality and computational complexity keep rising quickly. Deep Reinforcement Learning (DRL) has been developed by the use of Deep Neural Networks (DNNs) as a potential approach to solve high-dimensional and continuous control issues effectively. Deep Reinforcement Learning techniques provide great potential in IoT, edge and SDN scenarios and are used in heterogeneous networks for IoT-based management on the QoS required by each Software Defined Network (SDN) service. While DRL has shown great potential to solve emerging problems in complex wireless network virtualization, there are still domain-specific challenges that require further study, including the design of adequate DNN architectures with 5G network optimization issues, resource discovery and allocation, developing intelligent mechanisms that allow the automated and dynamic management of the virtual communications established in the SDNs which is considered as research perspective.

Proceedings of Data Analytics and Management

Author : Ashish Khanna
Publisher : Springer Nature
Page : 890 pages
File Size : 42,46 MB
Release : 2023-03-24
Category : Technology & Engineering
ISBN : 9811976155

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This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2022), held at tThe Karkonosze University of Applied Sciences, Poland, during June 2022. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.

Emerging Research in Computing, Information, Communication and Applications

Author : N. R. Shetty
Publisher : Springer Nature
Page : 1028 pages
File Size : 43,81 MB
Release : 2022-12-12
Category : Technology & Engineering
ISBN : 9811954828

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This book presents the proceedings of the International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2022. The conference provides an interdisciplinary forum for researchers, professional engineers and scientists, educators, and technologists to discuss, debate, and promote research and technology in the upcoming areas of computing, information, communication, and their applications. The book discusses these emerging research areas, providing a valuable resource for researchers and practicing engineers alike.

Innovations in Electrical and Electronic Engineering

Author : Saad Mekhilef
Publisher : Springer Nature
Page : 568 pages
File Size : 46,27 MB
Release : 2022-04-26
Category : Technology & Engineering
ISBN : 9811917426

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This book features selected high-quality papers presented at International Conference on Electrical and Electronics Engineering (ICEEE 2022), jointly organized by University of Malaya and Bharath Institute of Higher Education and Research India during January 8–9, 2022, at NCR New Delhi, India. The book focuses on current development in the fields of electrical and electronics engineering. The book one covers electrical engineering topics–power and energy including renewable energy, power electronics and applications, control, and automation and instrumentation and book two covers the areas of robotics, artificial intelligence and IoT, electronics devices, circuits and systems, wireless and optical communication, RF and microwaves, VLSI, and signal processing. The book is beneficial for readers from both academia and industry.

Key Digital Trends Shaping the Future of Information and Management Science

Author : Lalit Garg
Publisher : Springer Nature
Page : 640 pages
File Size : 25,54 MB
Release : 2023-05-15
Category : Technology & Engineering
ISBN : 3031311531

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This book (proceedings of ISMS 2022) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of information systems and management science. This textbook shows how to exploit information systems in a technology-rich management field. The book introduces concepts, principles, methods, and procedures that will be valuable to students and scholars in thinking about existing organization systems, proposing new systems, and working with management professionals in implementing new information systems.