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Book Deep Sciences for Computing and Communications

Download or read book Deep Sciences for Computing and Communications written by Annie Uthra R. and published by Springer Nature. This book was released on with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Deep Sciences for Computing and Communications

Download or read book Deep Sciences for Computing and Communications written by Kottilingam Kottursamy and published by Springer Nature. This book was released on 2023-03-18 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes selected papers presented during the First International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2022, held in Chennai, India, in March 2022. The 27 papers presented were thoroughly reviewed and selected from 97 submissions. They are organized in topical sections as follows: ​classification and regression problems for communication paradigms; deep learning and vision computing; deep- recurrent neural network (RNN) for industrial informatics; extended AI for heterogeneous edge.

Book Deep Sciences for Computing and Communications

Download or read book Deep Sciences for Computing and Communications written by Annie Uthra R. and published by Springer Nature. This book was released on with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Deep Sciences for Computing and Communications

Download or read book Deep Sciences for Computing and Communications written by Kottilingam Kottursamy and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes selected papers presented during the First International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2022, held in Chennai, India, in March 2022. The 27 papers presented were thoroughly reviewed and selected from 97 submissions. They are organized in topical sections as follows: classification and regression problems for communication paradigms; deep learning and vision computing; deep- recurrent neural network (RNN) for industrial informatics; extended AI for heterogeneous edge.

Book Deep Sciences for Computing and Communications

Download or read book Deep Sciences for Computing and Communications written by Annie Uthra R and published by Springer. This book was released on 2024-09-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set, CCIS 2176-2177, constitutes the proceedings from the Second International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2023, held in Chennai, India, in April 2023. The 74 full papers and 8 short papers presented here were thoroughly reviewed and selected from 252 submissions. The papers presented in these two volumes are organized in the following topical sections: Part I: Applications of Block chain for Digital Landscape; Deep Learning approaches for Multipotent Application; Machine Learning Techniques for Intelligent Applications; Industrial use cases of IOT; NLP for Linguistic Support; Convolution Neural Network for Vision Applications. Part II: Optimized Wireless Sensor Network Protocols; Cryptography Applications for Enhanced Security; Implications of Networking on Society; Deep Learning Model for Health informatics; Web Application for Connected Communities; Intelligent Insights using Image Processing; Precision Flood Prediction Models.

Book Deep Sciences for Computing and Communications

Download or read book Deep Sciences for Computing and Communications written by Annie Uthra R and published by Springer. This book was released on 2024-09-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set, CCIS 2176-2177, constitutes the proceedings from the Second International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2023, held in Chennai, India, in April 2023. The 74 full papers and 8 short papers presented here were thoroughly reviewed and selected from 252 submissions. The papers presented in these two volumes are organized in the following topical sections: Part I: Applications of Block chain for Digital Landscape; Deep Learning approaches for Multipotent Application; Machine Learning Techniques for Intelligent Applications; Industrial use cases of IOT; NLP for Linguistic Support; Convolution Neural Network for Vision Applications. Part II: Optimized Wireless Sensor Network Protocols; Cryptography Applications for Enhanced Security; Implications of Networking on Society; Deep Learning Model for Health informatics; Web Application for Connected Communities; Intelligent Insights using Image Processing; Precision Flood Prediction Models.

Book Computing Science  Communication and Security

Download or read book Computing Science Communication and Security written by Nirbhay Chaubey and published by Springer Nature. This book was released on 2021-05-19 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers of the Second International Conference on Computing Science, Communication and Security, COMS2 2021, held in Gandhinagar, India, in February 2021. Due to the COVID-19 pandemic the conference was held virtually. The 19 full papers were thoroughly reveiwed and selected from 105 submissions. Papers are organised according to the topical sections on artificial intelligence and machine learning; networking and communications.

Book Quantum Computing

Download or read book Quantum Computing written by Melanie Swan and published by Wspc (Europe). This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum information and contemporary smart network domains are so large and complex as to be beyond the reach of current research approaches. Hence, new theories are needed for their understanding and control. Physics is implicated as smart networks are physical systems comprised of particle-many items interacting and reaching criticality and emergence across volumes of macroscopic and microscopic states. Methods are integrated from statistical physics, information theory, and computer science. Statistical neural field theory and the AdS/CFT correspondence are employed to derive a smart network field theory (SNFT) and a smart network quantum field theory (SNQFT) for the orchestration of smart network systems. Specifically, a smart network field theory (conventional or quantum) is a field theory for the organization of particle-many systems from a characterization, control, criticality, and novelty emergence perspective. This book provides insight as to how quantum information science as a paradigm shift in computing may influence other high-impact digital transformation technologies, such as blockchain and machine learning. Smart networks refer to the idea that the internet is no longer simply a communications network, but rather a computing platform. The trajectory is that of communications networks becoming computing networks (with self-executing code), and perhaps ultimately quantum computing networks. Smart network technologies are conceived as autonomous self-operating computing networks. This includes blockchain economies, deep learning neural networks, autonomous supply chains, self-piloting driving fleets, unmanned aerial vehicles, industrial robotics cloudminds, real-time bidding for advertising, high-frequency trading networks, smart city IoT sensors, and the quantum internet.

Book Advanced Applications in Osmotic Computing

Download or read book Advanced Applications in Osmotic Computing written by Revathy, G. and published by IGI Global. This book was released on 2024-03-04 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: The interaction of various service models, including edge computing and cloud computing, are quickly changing to better support microservices. This intricate weave of technology and information sharing is necessary to build systems that run faster and more efficiently. The interplay between these computing methods and microservices is emerging as the field of Osmotic Computing. Experts can now embark on an intellectual journey into data-driven exploration and ingenuity with the guidance of the book, Advanced Applications in Osmotic Computing. As ethical considerations become rising concerns, the potential biases, privacy encumbrances, and equitable conundrums of osmotic computing are investigated. This book offers judicious strategies to navigate these quandaries conscientiously, adding a layer of responsibility to the discourse. Within these pages, the very fabric of understanding in IoT, Cloud, Edge, Fog, and Machine Learning is redefined, marking a pivotal shift in the paradigm of technological comprehension. This book is an epicenter for the latest evolutions in osmotic computing, unfurling unconventional methodologies that shape the trajectory of data-driven decision-making. Readers will plunge into the theoretical bedrock, simultaneously witnessing pragmatic applications that adeptly bridge the schism between the theoretical constructs and pragmatic realization. The intended audience is multifaceted, encompassing data scientists, machine learning engineers, researchers, academics, educators, students, industry practitioners, interdisciplinary experts, and technology and business leaders.

Book Convergence of Deep Learning and Internet of Things  Computing and Technology

Download or read book Convergence of Deep Learning and Internet of Things Computing and Technology written by Kavitha, T. and published by IGI Global. This book was released on 2022-12-19 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital technology has enabled a number of internet-enabled devices that generate huge volumes of data from different systems. This large amount of heterogeneous data requires efficient data collection, processing, and analytical methods. Deep Learning is one of the latest efficient and feasible solutions that enable smart devices to function independently with a decision-making support system. Convergence of Deep Learning and Internet of Things: Computing and Technology contributes to technology and methodology perspectives in the incorporation of deep learning approaches in solving a wide range of issues in the IoT domain to identify, optimize, predict, forecast, and control emerging IoT systems. Covering topics such as data quality, edge computing, and attach detection and prediction, this premier reference source is a comprehensive resource for electricians, communications specialists, mechanical engineers, civil engineers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

Book Computing Science  Communication and Security

Download or read book Computing Science Communication and Security written by Nirbhay Chaubey and published by Springer. This book was released on 2020-07-19 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers of the First International Conference on Computing Science, Communication and Security, COMS2 2020, held in March 2020. Due to the COVID-19 pandemic the conference was held virtually. The 26 full papers and 1 short paper were thoroughly reveiwed and selected from 79 submissions. Papers are organised according to the topical sections on artificial intelligence and machine learning; network, communication and security; computing science.

Book Computing and Data Science

Download or read book Computing and Data Science written by Weijia Cao and published by Springer Nature. This book was released on 2022-01-12 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes selected papers presented at the Third International Conference on Computing and Data Science, CONF-CDS 2021, held online in August 2021. The 22 full papers 9 short papers presented in this volume were thoroughly reviewed and selected from the 85 qualified submissions. They are organized in topical sections on advances in deep learning; algorithms in machine learning and statistics; advances in natural language processing.

Book Camels  Tigers   Unicorns  Re thinking Science And Technology enabled Innovation

Download or read book Camels Tigers Unicorns Re thinking Science And Technology enabled Innovation written by Uday Phadke and published by World Scientific. This book was released on 2017-02-27 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: The commercialisation of science and technology enabled innovation is a serious topic of interest for a wide range of global audiences who share one common objective: to understand how science and technology based ideas can be turned into commercial value more effectively. Despite the vast number of publications addressing entrepreneurship, innovation and strategy there is relatively little in the literature which systematically addresses the structures, processes and mechanisms involved in turning ideas into commercially valuable propositions: this book is intended to directly address this gap.The approach in Camels, Tigers & Unicorns consists of three fundamental strands:The contents of this book should be of interest to a wide range of audiences including entrepreneurs; leaders and managers in technology firms; scientists and technologists engaged in innovation in academic institutions and corporate environments; lone inventors; groups of scientific entrepreneurs operating outside recognised structures; business and strategy consultants; managers of public and private 'intervention agencies' such as incubators and accelerators; investors; and, policy makers.

Book Advances in Intelligent Computing and Communication

Download or read book Advances in Intelligent Computing and Communication written by Swagatam Das and published by Springer Nature. This book was released on 2021-05-22 with total page 713 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents high-quality research papers presented at the 3rd International Conference on Intelligent Computing and Advances in Communication (ICAC 2020) organized by Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India, in November 2020. This book brings out the new advances and research results in the fields of theoretical, experimental, and applied signal and image processing, soft computing, networking, and antenna research. Moreover, it provides a comprehensive and systematic reference on the range of alternative conversion processes and technologies.

Book Quantum Computing  Physics  Blockchains  And Deep Learning Smart Networks

Download or read book Quantum Computing Physics Blockchains And Deep Learning Smart Networks written by Melanie Swan and published by World Scientific. This book was released on 2020-03-20 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum information and contemporary smart network domains are so large and complex as to be beyond the reach of current research approaches. Hence, new theories are needed for their understanding and control. Physics is implicated as smart networks are physical systems comprised of particle-many items interacting and reaching criticality and emergence across volumes of macroscopic and microscopic states. Methods are integrated from statistical physics, information theory, and computer science. Statistical neural field theory and the AdS/CFT correspondence are employed to derive a smart network field theory (SNFT) and a smart network quantum field theory (SNQFT) for the orchestration of smart network systems. Specifically, a smart network field theory (conventional or quantum) is a field theory for the organization of particle-many systems from a characterization, control, criticality, and novelty emergence perspective.This book provides insight as to how quantum information science as a paradigm shift in computing may influence other high-impact digital transformation technologies, such as blockchain and machine learning. Smart networks refer to the idea that the internet is no longer simply a communications network, but rather a computing platform. The trajectory is that of communications networks becoming computing networks (with self-executing code), and perhaps ultimately quantum computing networks. Smart network technologies are conceived as autonomous self-operating computing networks. This includes blockchain economies, deep learning neural networks, autonomous supply chains, self-piloting driving fleets, unmanned aerial vehicles, industrial robotics cloudminds, real-time bidding for advertising, high-frequency trading networks, smart city IoT sensors, and the quantum internet.

Book Advances in Computing and Data Sciences

Download or read book Advances in Computing and Data Sciences written by Mayank Singh and published by Springer Nature. This book was released on 2020-07-17 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the post-conference proceedings of the 4th International Conference on Advances in Computing and Data Sciences, ICACDS 2020, held in Valletta, Malta, in April 2020.* The 46 full papers were carefully reviewed and selected from 354 submissions. The papers are centered around topics like advanced computing, data sciences, distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations. * The conference was held virtually due to the COVID-19 pandemic.

Book Computing Science  Communication and Security

Download or read book Computing Science Communication and Security written by Nirbhay Chaubey and published by Springer Nature. This book was released on 2020-07-18 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers of the First International Conference on Computing Science, Communication and Security, COMS2 2020, held in March 2020. Due to the COVID-19 pandemic the conference was held virtually. The 26 full papers and 1 short paper were thoroughly reveiwed and selected from 79 submissions. Papers are organised according to the topical sections on artificial intelligence and machine learning; network, communication and security; computing science.