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Next Generation Arithmetic: 4th International Conference, CoNGA 2023, Singapore, March 1-2, 2023, Proceedings (Lecture Notes in Computer Science #13851)

by John Gustafson Siew Hoon Leong Marek Michalewicz

This book constitutes the refereed proceedings of the 4th International Conference on Next Generation Arithmetic, CoNGA 2023, held in Singapore, during March 1-2, 2023.The 11 full papers in this book were carefully reviewed and selected from 16 submissions. They were organized in topical sections as follows: Lossless FFTs Using Posit Arithmetic, PLAUs: Posit Logarithmic Approximate Units to Implement Low-Cost Operations with Real Numbers.

Next Generation Arithmetic: 5th International Conference, CoNGA 2024, Sydney, NSW, Australia, February 20–21, 2024, Proceedings (Lecture Notes in Computer Science #14666)

by Marek Michalewicz John Gustafson Himeshi De Silva

This book constitutes the refereed post-conference proceedings of the 5th International Conference for Next Generation Arithmetic, CoNGA 2024, held in Sydney, NSW, Australia, during February 20–21, 2024. The 5 revised full papers presented were carefully selected from 9 submissions. CoNGA is the leading conference on emerging technologies for computer arithmetic. The demands of both AI and HPC have led the community to realize that something better than traditional floating-point arithmetic is needed to reach the speed, accuracy, and energy-efficiency that are needed for today's most challenging workloads. In particular, posit arithmetic is achieving rapid adoption as a non-proprietary format, but CoNGA welcomes papers about any arithmetic format that breaks from the past and shows merit and promise.

Next-Generation Batteries and Fuel Cells for Commercial, Military, and Space Applications

by A.R. Jha

Distilling complex theoretical physical concepts into an understandable technical framework, Next-Generation Batteries and Fuel Cells for Commercial, Military, and Space Applications describes primary and secondary (rechargeable) batteries for various commercial, military, spacecraft, and satellite applications for covert communications, surveillan

Next-Generation Big Data: A Practical Guide to Apache Kudu, Impala, and Spark

by Butch Quinto

Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies. Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern enterprise big data. The book covers not only the main technology stack but also the next-generation tools and applications used for big data warehousing, data warehouse optimization, real-time and batch data ingestion and processing, real-time data visualization, big data governance, data wrangling, big data cloud deployments, and distributed in-memory big data computing. Finally, the book has an extensive and detailed coverage of big data case studies from Navistar, Cerner, British Telecom, Shopzilla, Thomson Reuters, and Mastercard. What You’ll Learn Install Apache Kudu, Impala, and Spark to modernize enterprise data warehouse and business intelligence environments, complete with real-world, easy-to-follow examples, and practical adviceIntegrate HBase, Solr, Oracle, SQL Server, MySQL, Flume, Kafka, HDFS, and Amazon S3 with Apache Kudu, Impala, and SparkUse StreamSets, Talend, Pentaho, and CDAP for real-time and batch data ingestion and processingUtilize Trifacta, Alteryx, and Datameer for data wrangling and interactive data processingTurbocharge Spark with Alluxio, a distributed in-memory storage platformDeploy big data in the cloud using Cloudera DirectorPerform real-time data visualization and time series analysis using Zoomdata, Apache Kudu, Impala, and SparkUnderstand enterprise big data topics such as big data governance, metadata management, data lineage, impact analysis, and policy enforcement, and how to use Cloudera Navigator to perform common data governance tasksImplement big data use cases such as big data warehousing, data warehouse optimization, Internet of Things, real-time data ingestion and analytics, complex event processing, and scalable predictive modelingStudy real-world big data case studies from innovative companies, including Navistar, Cerner, British Telecom, Shopzilla, Thomson Reuters, and MastercardWho This Book Is For BI and big data warehouse professionals interested in gaining practical and real-world insight into next-generation big data processing and analytics using Apache Kudu, Impala, and Spark; and those who want to learn more about other advanced enterprise topics

Next Generation Communication Networks for Industrial Internet of Things Systems (Future Generation Information Systems)

by Sundresan Perumal Mujahid Tabassum Moolchand Sharma Saju Mohanan

This book presents Internet of Things (IoT) technology and security-related solutions that employ intelligent data processing technologies and machine learning (ML) approaches for data analytics. It presents practical scenarios from the industry for the application of the internet of things in various domains. Next Generation Communication Networks for Industrial Internet of Things Systems presents concepts and research challenges in communication networking for Industrial internet of things systems. Features: Discusses process monitoring, environmental monitoring, control, and maintenance monitoring. Covers data collection and communication protocols in a comprehensive manner. Highlights the internet of things industrial applications, and industrial revolution 4.0. Presents 5G-enabled internet of things technology and architecture. Showcases artificial intelligence techniques in the IoT networks. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the areas of electrical engineering, electronics, and communications engineering, computer engineering, and information technology.

Next Generation Computing and Information Systems: Proceedings of the 2nd International Conference on Next Generation Computing and Information Systems (ICNGCIS 2023), December 18-19, 2023, Jammu, J&K, India

by Ankur Gupta

The proceedings of the 2nd International Conference on Next-Generation Computing and Information Systems (ICNGCIS'23) includes research papers in diverse emerging domains such as AI, blockchain, web 3.0, metaverse and edge computing apart from traditional domains such as distributed computing and networks and cybersecurity. The proceedings include papers addressing currently relevant research issues such as smart contract security, interoperability in the metaverse, AI applications in healthcare, agriculture and related domains. The proceedings encompass findings with real-world implications for the growth and evolution of modern computing and information systems by addressing various challenges related to their design, deployment, operational aspects, performance and shortcomings. The intended audience for the proceedings of ICNGCIS'23 include researchers from industry and academia, practitioners, students, technology enthusiasts and even general audience looking to explore interesting applications, use-cases and fundamental issues in modern computing and information systems.

Next Generation Computing Technologies on Computational Intelligence: 4th International Conference, NGCT 2018, Dehradun, India, November 21–22, 2018, Revised Selected Papers (Communications in Computer and Information Science #922)

by Manish Prateek Durgansh Sharma Rajeev Tiwari Rashmi Sharma Kamal Kumar Neeraj Kumar

The 18 full and 13 short papers presented were carefully reviewed and selected from 255 submissions. There were organized in topical sections named: Image Processing, Pattern Analysis and Machine Vision; Information and Data Convergence; Disruptive Technologies for Future; E-Governance and Smart World

Next-Generation Cybersecurity: AI, ML, and Blockchain (Blockchain Technologies)

by Keshav Kaushik Ishu Sharma

This book highlights a comprehensive overview of the recent advancements and challenges in the field of cybersecurity with a focus on the integration of artificial intelligence (AI), machine learning (ML), and blockchain technologies. The book targets both researchers and practitioners working in the field of cybersecurity and aims to fill the gap in the current literature by providing a comprehensive and up-to-date examination of the integration of AI, ML, and blockchain in cybersecurity systems. The book has a technical focus and provides an in-depthexamination of the latest developments in the field. It covers a range of topics including the basics of AI, ML, and blockchain, the application of AI and ML in cybersecurity, the use of blockchain in cybersecurity, and the integrationof AI, ML, and blockchain in cybersecurity systems. Each chapter is written by leading experts in the field and provides a thorough and technical overview of the topic, including case studies, examples, and practical applications.

Next Generation Data Science: Second Southwest Data Science Conference, SDSC 2023, Waco, TX, USA, March 24–25, 2023, Revised Selected Papers (Communications in Computer and Information Science #2113)

by Henry Han Erich Baker

This book constitutes the refereed proceedings of the Sescond Southwest Data Science Conference, SDSC 2023, held in Waco, TX, USa, during March 24-25, 2023. The 16 full and 1 short paper included in this book were carefully reviewed and selected from 72 submissions. They were oragnized in topical sections named: Business social and foundation data science; and applied data science, artifiicial intelligence and data engineering.

Next Generation Databases

by Guy Harrison

This is a book for enterprise architects, database administrators, and developers who need to understand the latest developments in database technologies. It is the book to help you choose the correct database technology at a time when concepts such as Big Data, NoSQL and NewSQL are making what used to be an easy choice into a complex decision with significant implications. The relational database (RDBMS) model completely dominated database technology for over 20 years. Today this "one size fits all" stability has been disrupted by a relatively recent explosion of new database technologies. These paradigm-busting technologies are powering the "Big Data" and "NoSQL" revolutions, as well as forcing fundamental changes in databases across the board. Deciding to use a relational database was once truly a no-brainer, and the various commercial relational databases competed on price, performance, reliability, and ease of use rather than on fundamental architectures. Today we are faced with choices between radically different database technologies. Choosing the right database today is a complex undertaking, with serious economic and technological consequences. Next Generation Databases demystifies today's new database technologies. The book describes what each technology was designed to solve. It shows how each technology can be used to solve real word application and business problems. Most importantly, this book highlights the architectural differences between technologies that are the critical factors to consider when choosing a database platform for new and upcoming projects. Introduces the new technologies that have revolutionized the database landscape Describes how each technology can be used to solve specific application or business challenges Reviews the most popular new wave databases and how they use these new database technologies What you'll learn Understand new technologies disrupting the database landscape and powering applications that are changing our lives. Choose the best database technology for the success of your business and projects. Position your career to ride the wave of these new database technologies. Maximize return on investment from NoSQL and other new-wave technologies. Take advantage of next-generation features being incorporated into traditional database products such as Oracle Database and Microsoft SQL Server. Accelerate existing database platforms via new hardware capabilities. Who this book is for Next Generation Databases is a book for software architects, developers, and database professionals who need to understand the next generation of database technologies. Developers and architects need to understand the characteristics of the new wave of databases systems so that they can choose the one which best suits the needs of their current project. Database professionals who want to survive and thrive in increasingly heterogeneous database landscape will find this book a perfect guide to the new architectures and the problems they are best at solving. Table of Contents Part I: The Database Revolution 1. Three Database Revolutions 2. Google, Big Data, and Hadoop 3. Sharding, Amazon, and the Birth of NoSQL 4. Document Databases 5. Graph Databases 6. Columnar Databases 7. SSD and In-Memory Technologies Part II: The Gory Details 8. Distribution and Clustering Models 9. Consistency Models 10. Data Models 11. Data Models and Storage 12. Database of the Future 13. Appendix

Next-Generation Enterprise Security and Governance (Security, Audit and Leadership Series)

by Mohiuddin Ahmed

The Internet is making our daily lives as digital as possible, and this new era is called the Internet of Everything (IoE). The key force behind the rapid growth of the Internet is the technological advancement of enterprises. The digital world we live in is facilitated by these enterprises’ advances and business intelligence. These enterprises need to deal with gazillions of bytes of data, and in today’s age of General Data Protection Regulation, enterprises are required to ensure privacy and security of large-scale data collections. However, the increased connectivity and devices used to facilitate IoE are continually creating more room for cybercriminals to find vulnerabilities in enterprise systems and flaws in their corporate governance. Ensuring cybersecurity and corporate governance for enterprises should not be an afterthought or present a huge challenge. In recent times, the complex diversity of cyber-attacks has been skyrocketing, and zero-day attacks, such as ransomware, botnet, and telecommunication attacks, are happening more frequently than before. New hacking strategies would easily bypass existing enterprise security and governance platforms using advanced, persistent threats. For example, in 2020, the Toll Group firm was exploited by a new crypto-attack family for violating its data privacy, where an advanced ransomware technique was launched to exploit the corporation and request a huge figure of monetary ransom. Even after applying rational governance hygiene, cybersecurity configuration and software updates are often overlooked when they are most needed to fight cyber-crime and ensure data privacy. Therefore, the threat landscape in the context of enterprises has become wider and far more challenging. There is a clear need for collaborative work throughout the entire value chain of this network. In this context, this book addresses the cybersecurity and cooperate governance challenges associated with enterprises, which will provide a bigger picture of the concepts, intelligent techniques, practices, and open research directions in this area. This book serves as a single source of reference for acquiring the knowledge on the technology, process, and people involved in next-generation privacy and security.

Next-Generation Ethics: Engineering a Better Society

by Ali E. Abbas

Many of the significant developments of our era have resulted from advances in technology, including the design of large-scale systems; advances in medicine, manufacturing, and artificial intelligence; the role of social media in influencing behaviour and toppling governments; and the surge of online transactions that are replacing human face-to-face interactions. These advances have given rise to new kinds of ethical concerns around the uses (and misuses) of technology. This collection of essays by prominent academics and technology leaders covers important ethical questions arising in modern industry, offering guidance on how to approach these dilemmas. Chapters discuss what we can learn from the ethical lapses of #MeToo, Volkswagen, and Cambridge Analytica, and highlight the common need across all applications for sound decision-making and understanding the implications for stakeholders. Technologists and general readers with no formal ethics training and specialists exploring technological applications to the field of ethics will benefit from this overview.

Next Generation Healthcare Informatics (Studies in Computational Intelligence #1039)

by B. K. Tripathy Pawan Lingras Arpan Kumar Kar Chiranji Lal Chowdhary

This edited book provides information on emerging fields of next-generation healthcare informatics with a special emphasis on emerging developments and applications of artificial intelligence, deep learning techniques, computational intelligence methods, Internet of medical things (IoMT), optimization techniques, decision making, nanomedicine, and cloud computing. The book provides a conceptual framework and roadmap for decision-makers for this transformation. The chapters involved in this book cover challenges and opportunities for diabetic retinopathy detection based on deep learning applications, deep learning accelerators in IoT and IoMT, health data analysis, deep reinforcement-based conversational AI agent in healthcare systems, examination of health data performance, multisource data in intelligent medicine, application of genetic algorithms in health care, mental disorder, digital healthcare system with big data analytics, encryption methods in healthcare data security, computation and cognitive bias in healthcare intelligence and pharmacogenomics, guided imagery therapy, cancer detection and prediction techniques, medical image processing for coronavirus, and imbalance learning in health care.

Next Generation Information Processing System: Proceedings of ICCET 2020, Volume 2 (Advances in Intelligent Systems and Computing #1162)

by Prachi Deshpande Ajith Abraham Brijesh Iyer Kun Ma

This book gathers high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2020) [formerly ICCASP], a flagship event in the area of engineering and emerging next-generation technologies jointly organized by the Dr. Babasaheb Ambedkar Technological University and MGM’s College of Engineering in Nanded, India, on 9-11 January 2020. Focusing on next-generation information processing systems, this second volume of the proceedings includes papers on cloud computing and information systems, artificial intelligence and the Internet of Things, hardware design and communication, and front-end design.

The Next Generation Innovation in IoT and Cloud Computing with Applications

by Amit Sharma Ahmed J. Obaid Abid Hussain Garima Tyagi

The Next Generation Innovation in IoT and Cloud Computing with Applications is a thought-provoking edited book that explores the cutting-edge advancements and transformative potential of the Internet of Things (IoT) and cloud computing. This comprehensive volume brings together leading experts and researchers to delve into the latest developments, emerging trends, and practical applications that define the next era of technological innovation.Readers will gain valuable insights into how IoT and cloud computing synergize to create a dynamic ecosystem, fostering unprecedented connectivity and efficiency across various industries. The book covers a wide spectrum of topics, including state-of-the-art technologies, security and privacy considerations, and real-world applications in fields such as healthcare, smart cities, agriculture, and more.With a focus on the future landscape of technology, this edited collection serves as a pivotal resource for academics, professionals, and enthusiasts eager to stay at the forefront of the rapidly evolving IoT and cloud computing domains. By offering a blend of theoretical perspectives and hands-on experiences, The Next Generation Innovation in IoT and Cloud Computing with Applications serves as a guide to the forefront of technological progress, providing a roadmap for the exciting possibilities that lie ahead in this era of connectivity and digital transformation.

Next Generation Intelligent Environments

by Stefan Ultes Florian Nothdurft Tobias Heinroth Wolfgang Minker

This book covers key topics in the field of intelligent ambient adaptivesystems. It focuses on the results worked out within the framework of theATRACO (Adaptive and TRusted Ambient eCOlogies) project. The theoreticalbackground, the developed prototypes, and the evaluated results form a fertileground useful for the broad intelligent environments scientific community aswell as for industrial interest groups. The new edition provides: Chapter authors comment on their work on ATRACO with final remarks as viewed in retrospective Each chapter has been updated with follow-up work emerging from ATRACO An extensive introduction to state-of-the-art statistical dialog management for intelligent environments Approaches are introduced on how Trust is reflected during the dialog with the system

Next Generation Internet: Die Verschmelzung von Realität und Virtualität im Metaversum

by Peter Hoffmann

Die Entwicklung des Internets, insbesondere des WWW, stößt aktuell an ihre Grenzen – sowohl technisch als auch sozio-kulturell und ökonomisch. Als Lösung wird ein neues Internet versprochen, das die Grenzen der realen und der virtuellen Welt überwinden und Realität und Digitalität verschmelzen soll – das Metaversum. Technische, semantische und organisatorische Details greifen hierzu eng ineinander. Was aber bedeutet dies bei genauerer Betrachtung? Welche technisch-technologischen Herausforderungen müssen bewältigt werden, um ein solches Verschmelzen zu erreichen? Welche ökonomischen Möglichkeiten eröffnen sich– und welche verbieten sich möglicherweise? Wie kann erreicht werden, dass ein offenes und für jeden benutzbares Metaversum entsteht? Und wie kann vermieden werden, dass auch in diesem neuen Metaversum wenige große Anbieter ihre proprietären Ideen durchsetzen? Für diese Fragen soll dieses Buch Antworten aufzeigen.

Next Generation Internet: The Merging of Reality and Virtuality in the Metaverse

by Peter Hoffmann

The development of the internet, particularly the World Wide Web, is currently hitting its limits—both technically and socio-culturally, as well as economically. A new internet is promised as a solution, one that aims to overcome the boundaries between the real and the virtual world, merging reality and digitality—the metaverse. Technical, semantic, and organizational details are closely intertwined in this context. But what does this mean upon closer examination? What technical and technological challenges must be overcome to achieve such a merging? What economic opportunities arise—and which ones may be precluded? How can we ensure that an open and universally accessible metaverse is created? And how can we prevent a few large providers from imposing their proprietary ideas in this new metaverse? This book aims to provide answers to these questions.

Next Generation Internet of Things – Distributed Intelligence at the Edge and Human-Machine Interactions

by Ovidiu Vermesan Joël Bacquet

This book provides an overview of the next generation Internet of Things (IoT), ranging from research, innovation, development priorities, to enabling technologies in a global context. It is intended as a standalone in a series covering the activities of the Internet of Things European Research Cluster (IERC), including research, technological innovation, validation, and deployment.The following chapters build on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT–EPI), the IoT European Large-Scale Pilots Programme and the IoT European Security and Privacy Projects, presenting global views and state-of-the-art results regarding the next generation of IoT research, innovation, development, and deployment.The IoT and Industrial Internet of Things (IIoT) are evolving towards the next generation of Tactile IoT/IIoT, bringing together hyperconnectivity (5G and beyond), edge computing, Distributed Ledger Technologies (DLTs), virtual/ andaugmented reality (VR/AR), and artificial intelligence (AI) transformation.Following the wider adoption of consumer IoT, the next generation of IoT/IIoT innovation for business is driven by industries, addressing interoperability issues and providing new end-to-end security solutions to face continuous treats.The advances of AI technology in vision, speech recognition, natural language processing and dialog are enabling the development of end-to-end intelligent systems encapsulating multiple technologies, delivering services in real-time using limited resources. These developments are focusing on designing and delivering embedded and hierarchical AI solutions in IoT/IIoT, edge computing, using distributed architectures, DLTs platforms and distributed end-to-end security, which provide real-time decisions using less data and computational resources, while accessing each type of resource in a way that enhances the accuracy and performance of models in the various IoT/IIoT applications.The convergence and combination of IoT, AI and other related technologies to derive insights, decisions and revenue from sensor data provide new business models and sources of monetization. Meanwhile, scalable, IoT-enabled applications have become part of larger business objectives, enabling digital transformation with a focus on new services and applications.Serving the next generation of Tactile IoT/IIoT real-time use cases over 5G and Network Slicing technology is essential for consumer and industrial applications and support reducing operational costs, increasing efficiency and leveraging additional capabilities for real-time autonomous systems.New IoT distributed architectures, combined with system-level architectures for edge/fog computing, are evolving IoT platforms, including AI and DLTs, with embedded intelligence into the hyperconnectivity infrastructure.The next generation of IoT/IIoT technologies are highly transformational, enabling innovation at scale, and autonomous decision-making in various application domains such as healthcare, smart homes, smart buildings, smart cities, energy, agriculture, transportation and autonomous vehicles, the military, logistics and supply chain, retail and wholesale, manufacturing, mining and oil and gas.

Next-Generation Machine Learning with Spark: Covers XGBoost, LightGBM, Spark NLP, Distributed Deep Learning with Keras, and More

by Butch Quinto

Access real-world documentation and examples for the Spark platform for building large-scale, enterprise-grade machine learning applications.The past decade has seen an astonishing series of advances in machine learning. These breakthroughs are disrupting our everyday life and making an impact across every industry. Next-Generation Machine Learning with Spark provides a gentle introduction to Spark and Spark MLlib and advances to more powerful, third-party machine learning algorithms and libraries beyond what is available in the standard Spark MLlib library. By the end of this book, you will be able to apply your knowledge to real-world use cases through dozens of practical examples and insightful explanations. What You Will LearnBe introduced to machine learning, Spark, and Spark MLlib 2.4.xAchieve lightning-fast gradient boosting on Spark with the XGBoost4J-Spark and LightGBM librariesDetect anomalies with the Isolation Forest algorithm for SparkUse the Spark NLP and Stanford CoreNLP libraries that support multiple languagesOptimize your ML workload with the Alluxio in-memory data accelerator for SparkUse GraphX and GraphFrames for Graph AnalysisPerform image recognition using convolutional neural networksUtilize the Keras framework and distributed deep learning libraries with Spark Who This Book Is For Data scientists and machine learning engineers who want to take their knowledge to the next level and use Spark and more powerful, next-generation algorithms and libraries beyond what is available in the standard Spark MLlib library; also serves as a primer for aspiring data scientists and engineers who need an introduction to machine learning, Spark, and Spark MLlib.

Next Generation Mechanisms for Data Encryption

by Keshav Kumar and Bishwajeet Kumar Pandey

This book gives readers a deep insight into cryptography and discusses the various types of cryptography algorithms used for the encryption and decryption of data. It also covers the mathematics behind the use of algorithms for encryption and decryption.Features Presents clear insight to the readers about the various security algorithms and the different mechanisms used for data encryption. Discusses algorithms such as symmetric encryption, asymmetric encryption, digital signatures, and hash functions used for encryption. Covers techniques and methods to optimize the mathematical steps of security algorithms to make those algorithms lightweight, which can be suitable for voice encryption. Illustrates software methods to implement cryptography algorithms. Highlights a comparative analysis of models that are used in implementing cryptography algorithms. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

Next Generation Mobile Broadcasting

by David Gomez-Barquero

This book provides an overview of the past, present, and future in mobile multimedia broadcasting. The first part of the book supplies an overview of the new generation mobile broadcasting technologies currently available. The second part describes the cutting-edge mobile broadcast technology known as DVB-NGH (Digital Video Broadcasting - Next Generation Handheld), which is expected to significantly outperform existing technologies in both capacity and coverage. The book is edited by a member of the DVB-NGH standardization group, and contains contributions from the different standardization groups worldwide.

Next Generation of Data Mining

by Hillol Kargupta Jiawei Han Philip S. Yu Rajeev Motwani Vipin Kumar

Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field.Gathering perspectives from top experts across different di

The Next Generation of Distance Education

by Jason B. Huett Leslie Moller

The world of education is being radically altered with the change being driven by technology, openness, and unprecedented access to knowledge. Older correspondence-style methods of instructional delivery are passé and "classroom adapted to the web" approaches to learning are often ineffective and do little to harness the transformational potential of technology. E-Learning scenarios, mobile technologies, communication and information access, and personal learning environments are becoming mainstream and, as a result, control of the learning process is shifting away from institutions and into the hands of learners. This volumes promotes a forward-thinking agenda for research and scholarship that highlights new ideas, deep insights, and novel approaches to "unconstrained" learning.

Next Generation of Internet of Things: Proceedings of ICNGIoT 2021 (Lecture Notes in Networks and Systems #201)

by Raghvendra Kumar Brojo Kishore Mishra Prasant Kumar Pattnaik

This book includes selected papers from the International Conference on Next Generation of Internet of Things (ICNGIoT 2021), organized by the Department of Computer Science and Engineering, School of Engineering, GIET University, Gunupur, Odisha, India, during 5–6 February 2021. 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.

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