Proceedings Of Integrated Intelligence Enable Networks And Computing

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Proceedings of Integrated Intelligence Enable Networks and Computing

Author : Krishan Kant Singh Mer
Publisher : Springer Nature
ISBN 13 : 981336307X
Total Pages : 975 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Proceedings of Integrated Intelligence Enable Networks and Computing by : Krishan Kant Singh Mer

Download or read book Proceedings of Integrated Intelligence Enable Networks and Computing written by Krishan Kant Singh Mer and published by Springer Nature. This book was released on 2021-04-23 with total page 975 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents best selected research papers presented at the First International Conference on Integrated Intelligence Enable Networks and Computing (IIENC 2020), held from May 25 to May 27, 2020, at the Institute of Technology, Gopeshwar, India (Government Institute of Uttarakhand Government and affiliated to Uttarakhand Technical University). The book includes papers in the field of intelligent computing. The book covers the areas of machine learning and robotics, signal processing and Internet of things, big data and renewable energy sources.

Artificial Intelligence and Sustainable Computing

Author : Manjaree Pandit
Publisher : Springer Nature
ISBN 13 : 9811916535
Total Pages : 757 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Artificial Intelligence and Sustainable Computing by : Manjaree Pandit

Download or read book Artificial Intelligence and Sustainable Computing written by Manjaree Pandit and published by Springer Nature. This book was released on 2022-11-15 with total page 757 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents high-quality research papers presented at 3rd International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2021) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from November 13–14, 2021. The book extensively covers recent research in artificial intelligence (AI) that knits together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.

Applications in Reliability and Statistical Computing

Author : Hoang Pham
Publisher : Springer Nature
ISBN 13 : 3031212320
Total Pages : 310 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Applications in Reliability and Statistical Computing by : Hoang Pham

Download or read book Applications in Reliability and Statistical Computing written by Hoang Pham and published by Springer Nature. This book was released on 2023-02-15 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses practical applications of reliability and statistical methods and techniques in various disciplines, using machine learning, artificial intelligence, optimization, and other computation methods. Bringing together research from international experts, each chapter aims to cover both methods and practical aspects on reliability or statistical computations with emphasis on applications. 5G and IoT are set to generate an estimated 1 billion terabytes of data by 2025 and companies continue to search for new techniques and tools that can help them practice data collection effectively in promoting their business. This book explores the era of big data through reliability and statistical computing, showcasing how almost all applications in our daily life have experienced a dramatic shift in the past two decades to a truly global industry. Including numerous illustrations and worked examples, the book is of interest to researchers, practicing engineers, and postgraduate students in the fields of reliability engineering, statistical computing, and machine learning.

Computational Intelligence for Modern Business Systems

Author : Sandeep Kautish
Publisher : Springer Nature
ISBN 13 : 9819953545
Total Pages : 523 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Computational Intelligence for Modern Business Systems by : Sandeep Kautish

Download or read book Computational Intelligence for Modern Business Systems written by Sandeep Kautish and published by Springer Nature. This book was released on 2023-12-05 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the applications of computational intelligence techniques in business systems and advocates how these techniques are useful in modern business operations. The book redefines the computational intelligence foundations, the three pillars - neural networks, evolutionary computation, and fuzzy systems. It also discusses emerging areas such as swarm intelligence, artificial immune systems (AIS), support vector machines, rough sets, and chaotic systems. The other areas have also been demystified in the book to strengthen the range of computational intelligence techniques such as expert systems, knowledge-based systems, and genetic algorithms. Therefore, this book will redefine the role of computational intelligence techniques in modern business system operations such as marketing, finance & accounts, operations, personnel management, supply chain management, and logistics. Besides, this book guides the readers through using them to model, discover, and interpret new patterns that cannot be found through statistical methods alone in various business system operations. This book reveals how computational intelligence can inform the design and integration of services, architecture, brand identity, and product portfolio across the entire enterprise. The book will provide insights into research gaps, open challenges, and unsolved computational intelligence problems. The book will act as a premier reference and instant material for all the users who are contributing/practicing the adaptation of computational intelligence modern techniques in business systems.

Mobile and Ubiquitous Systems: Computing, Networking and Services

Author : Shangguan Longfei
Publisher : Springer Nature
ISBN 13 : 3031347765
Total Pages : 633 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Mobile and Ubiquitous Systems: Computing, Networking and Services by : Shangguan Longfei

Download or read book Mobile and Ubiquitous Systems: Computing, Networking and Services written by Shangguan Longfei and published by Springer Nature. This book was released on 2023-06-26 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of the 19th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2022, which was held in Pittsburgh, November 14-17, 2022. The conference was held virtually due to the COVID-19 pandemic. The 26 full and 2 short papers were carefully reviewed and selected from 95 submissions and present discussions, They were organized in topical sections as follows: Internet of Things (IoT), Security and Privacy, Human-centric sensing, Drone applications and edge computing, Wireless networks, Mobile and human computer interactions, Poster and demo sessions, Technology for health

Proceedings of 2nd International Conference on Artificial Intelligence: Advances and Applications

Author : Garima Mathur
Publisher : Springer Nature
ISBN 13 : 9811663327
Total Pages : 850 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Proceedings of 2nd International Conference on Artificial Intelligence: Advances and Applications by : Garima Mathur

Download or read book Proceedings of 2nd International Conference on Artificial Intelligence: Advances and Applications written by Garima Mathur and published by Springer Nature. This book was released on 2022-02-14 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers outstanding research papers presented in the 2nd International Conference on Artificial Intelligence: Advances and Application (ICAIAA 2021), held in Poornima College of Engineering, Jaipur, India during 27-28 March 2021. This book covers research works carried out by various students such as bachelor, master and doctoral scholars, faculty and industry persons in the area of artificial intelligence, machine learning, deep learning applications in healthcare, agriculture, business, security, etc. It will also cover research in core concepts of computer networks, intelligent system design and deployment, real time systems, WSN, sensors and sensor nodes, SDN, NFV, etc.

Distributed Computing and Optimization Techniques

Author : Sudhan Majhi
Publisher : Springer Nature
ISBN 13 : 9811922810
Total Pages : 855 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Distributed Computing and Optimization Techniques by : Sudhan Majhi

Download or read book Distributed Computing and Optimization Techniques written by Sudhan Majhi and published by Springer Nature. This book was released on 2022-09-12 with total page 855 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces research presented at the International Conference on Distributed Computing and Optimization Techniques (ICDCOT–2021), a two-day conference, where researchers, engineers, and academicians from all over the world came together to share their experiences and findings on all aspects of distributed computing and its applications in diverse areas. The book includes papers on distributed computing, intelligent system, optimization method, mathematical modeling, fuzzy logic, neural networks, grid computing, load balancing, communication. It will be a valuable resource for students, academics, and practitioners in the industry working on distributed computing.

Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities

Author : Pramanik, Sabyasachi
Publisher : IGI Global
ISBN 13 : 1668464101
Total Pages : 499 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities by : Pramanik, Sabyasachi

Download or read book Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities written by Pramanik, Sabyasachi and published by IGI Global. This book was released on 2023-02-17 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: A smart city utilizes ICT technologies to improve the working effectiveness, share various data with the citizens, and enhance political assistance and societal wellbeing. The fundamental needs of a smart and sustainable city are utilizing smart technology for enhancing municipal activities, expanding monetary development, and improving citizens’ standards of living. The Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities discusses new mathematical models in smart and sustainable cities using big data, visualization tools in mathematical modeling, machine learning-based mathematical modeling, and more. It further delves into privacy and ethics in data analysis. Covering topics such as deep learning, optimization-based data science, and smart city automation, this premier reference source is an excellent resource for mathematicians, statisticians, computer scientists, civil engineers, government officials, students and educators of higher education, librarians, researchers, and academicians.

Next Generation of Internet of Things

Author : Raghvendra Kumar
Publisher : Springer Nature
ISBN 13 : 9811914125
Total Pages : 708 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Next Generation of Internet of Things by : Raghvendra Kumar

Download or read book Next Generation of Internet of Things written by Raghvendra Kumar and published by Springer Nature. This book was released on 2022-09-26 with total page 708 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers from the International Conference on Next Generation of Internet of Things (ICNGIoT 2022), organized by Department of Computer Science and Engineering, School of Engineering, GIET University, Gunupur, Odisha, India, during February 3–4, 2022. The book covers topics such as IoT network design and architecture, IoT network virtualization, IoT sensors, privacy and security for IoT, SMART environment, social networks, data science and data analytics, cognitive intelligence and augmented intelligence, and case studies and applications.

Software Defined Networking for Ad Hoc Networks

Author : Mangesh M. Ghonge
Publisher : Springer Nature
ISBN 13 : 3030911497
Total Pages : 169 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Software Defined Networking for Ad Hoc Networks by : Mangesh M. Ghonge

Download or read book Software Defined Networking for Ad Hoc Networks written by Mangesh M. Ghonge and published by Springer Nature. This book was released on 2022-02-09 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive overview of Software-Defined Network (SDN) based ad-hoc network technologies and exploits recent developments in this domain, with a focus on emerging technologies in SDN based ad-hoc networks. The authors offer practical and innovative applications in Network Security, Smart Cities, e-health, and Intelligent Systems. This book also addresses several key issues in SDN energy-efficient systems, the Internet of Things, Big Data, Cloud Computing and Virtualization, Machine Learning, Deep Learning, and Cryptography. The book includes different ad hoc networks such as MANETs and VANETs, along with a focus on evaluating and comparing existing SDN-related research on various parameters. The book provides students, researchers, and practicing engineers with an expert guide to the fundamental concepts, challenges, architecture, applications, and state-of-the-art developments in the field.

Digital Technologies and Applications

Author : Saad Motahhir
Publisher : Springer Nature
ISBN 13 : 3031024478
Total Pages : 855 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Digital Technologies and Applications by : Saad Motahhir

Download or read book Digital Technologies and Applications written by Saad Motahhir and published by Springer Nature. This book was released on 2022-05-05 with total page 855 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents volume 2 of selected research papers presented at the Second International Conference on Digital Technologies and Applications (ICDTA 22), held at Sidi Mohamed Ben Abdellah University, Fez, Morocco, on 28–29 January 2022. Highlighting the latest innovations in digital technologies as: Artifiscial Intelligence, Internet of things, Embedded systems, Network Technology, information processing and their applications in several areas as hybrid vehicles, renewable energy, Mechatronics, Medicine... The respective papers will encourage and inspire researchers, industry professionals, and policymakers to put these methods into practice.

Machine Learning, Image Processing, Network Security and Data Sciences

Author : Nilay Khare
Publisher : Springer Nature
ISBN 13 : 3031243528
Total Pages : 381 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Machine Learning, Image Processing, Network Security and Data Sciences by : Nilay Khare

Download or read book Machine Learning, Image Processing, Network Security and Data Sciences written by Nilay Khare and published by Springer Nature. This book was released on 2023-01-17 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (CCIS 1762-1763) constitutes the refereed proceedings of the 4th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2022, held in Bhopal, India, in December 2022. The 64 papers presented in this two-volume set were thoroughly reviewed and selected from 399 submissions. The papers are organized according to the following topical sections: machine learning and computational intelligence; data sciences; image processing and computer vision; network and cyber security.

Machine Learning, Image Processing, Network Security and Data Sciences

Author : Rajesh Doriya
Publisher : Springer Nature
ISBN 13 : 9811958688
Total Pages : 886 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Machine Learning, Image Processing, Network Security and Data Sciences by : Rajesh Doriya

Download or read book Machine Learning, Image Processing, Network Security and Data Sciences written by Rajesh Doriya and published by Springer Nature. This book was released on 2023-01-01 with total page 886 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2021. The papers are organized according to the following topical sections: data science and big data; image processing and computer vision; machine learning and computational intelligence; network and cybersecurity. This book aims to develop an understanding of image processing, networks, and data modeling by using various machine learning algorithms for a wide range of real-world applications. In addition to providing basic principles of data processing, this book teaches standard models and algorithms for data and image analysis.

Information and Communication Technology for Competitive Strategies (ICTCS 2022)

Author : Amit Joshi
Publisher : Springer Nature
ISBN 13 : 9811996385
Total Pages : 866 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Information and Communication Technology for Competitive Strategies (ICTCS 2022) by : Amit Joshi

Download or read book Information and Communication Technology for Competitive Strategies (ICTCS 2022) written by Amit Joshi and published by Springer Nature. This book was released on 2023-05-30 with total page 866 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains best selected research papers presented at ICTCS 2022: Seventh International Conference on Information and Communication Technology for Competitive Strategies. The conference will be held in Chandigarh, India during 9 – 10 December 2022. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics and IT security. The work is presented in two volumes.

Convergence of Deep Learning in Cyber-IoT Systems and Security

Author : Rajdeep Chakraborty
Publisher : John Wiley & Sons
ISBN 13 : 111985766X
Total Pages : 485 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Convergence of Deep Learning in Cyber-IoT Systems and Security by : Rajdeep Chakraborty

Download or read book Convergence of Deep Learning in Cyber-IoT Systems and Security written by Rajdeep Chakraborty and published by John Wiley & Sons. This book was released on 2022-11-08 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: CONVERGENCE OF DEEP LEARNING IN CYBER-IOT SYSTEMS AND SECURITY In-depth analysis of Deep Learning-based cyber-IoT systems and security which will be the industry leader for the next ten years. The main goal of this book is to bring to the fore unconventional cryptographic methods to provide cyber security, including cyber-physical system security and IoT security through deep learning techniques and analytics with the study of all these systems. This book provides innovative solutions and implementation of deep learning-based models in cyber-IoT systems, as well as the exposed security issues in these systems. The 20 chapters are organized into four parts. Part I gives the various approaches that have evolved from machine learning to deep learning. Part II presents many innovative solutions, algorithms, models, and implementations based on deep learning. Part III covers security and safety aspects with deep learning. Part IV details cyber-physical systems as well as a discussion on the security and threats in cyber-physical systems with probable solutions. Audience Researchers and industry engineers in computer science, information technology, electronics and communication, cybersecurity and cryptography.

A Simulation Framework for Function as a Service

Author : Manner, Johannes
Publisher : University of Bamberg Press
ISBN 13 : 3863099788
Total Pages : 243 pages
Book Rating : 4.8/5 (63 download)

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Book Synopsis A Simulation Framework for Function as a Service by : Manner, Johannes

Download or read book A Simulation Framework for Function as a Service written by Manner, Johannes and published by University of Bamberg Press. This book was released on 2024-03-12 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Illumination of Artificial Intelligence in Cybersecurity and Forensics

Author : Sanjay Misra
Publisher : Springer Nature
ISBN 13 : 3030934535
Total Pages : 378 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Illumination of Artificial Intelligence in Cybersecurity and Forensics by : Sanjay Misra

Download or read book Illumination of Artificial Intelligence in Cybersecurity and Forensics written by Sanjay Misra and published by Springer Nature. This book was released on 2022-02-08 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers a variety of topics that span from industry to academics: hybrid AI model for IDS in IoT, intelligent authentication framework for IoMT mobile devices for extracting bioelectrical signals, security audit in terms of vulnerability analysis to protect the electronic medical records in healthcare system using AI, classification using CNN a multi-face recognition attendance system with anti-spoofing capability, challenges in face morphing attack detection, a dimensionality reduction and feature-level fusion technique for morphing attack detection (MAD) systems, findings and discussion on AI-assisted forensics, challenges and open issues in the application of AI in forensics, a terrorist computational model that uses Baum–Welch optimization to improve the intelligence and predictive accuracy of the activities of criminal elements, a novel method for detecting security violations in IDSs, graphical-based city block distance algorithm method for E-payment systems, image encryption, and AI methods in ransomware mitigation and detection. It assists the reader in exploring new research areas, wherein AI can be applied to offer solutions through the contribution from researchers and academia.