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Computational Intelligence and Sustainable Systems: Intelligence and Sustainable Computing (EAI/Springer Innovations in Communication and Computing)

by H. Anandakumar R. Arulmurugan Chow Chee Onn

This book features research related to computational intelligence and energy and thermal aware management of computing resources. The authors publish original and timely research in current areas of power, energy, temperature, and environmental engineering as and advances in computational intelligence that are benefiting the fields. Topics include signal processing architectures, algorithms, and applications; biomedical informatics and computation; artificial intelligence and machine learning; green technologies in information; and more. The book includes contributions from a wide range of researchers, academicians, and industry professionals. The book is made up both of extended papers presented at the International Conference on Intelligent Computing and Sustainable System (ICICSS 2018), September 20-21, 2018, and other accepted papers on R&D and original research work related to the practice and theory of technologies to enable and support Intelligent Computing applications.

Computational Intelligence for Clinical Diagnosis (EAI/Springer Innovations in Communication and Computing)

by Ferdin Joe John Joseph Valentina Emilia Balas S. Suman Rajest R. Regin

This book contains multidisciplinary advancements in healthcare and technology through artificial intelligence (AI). The topics are crafted in such a way to cover all the areas of healthcare that require AI for further development. Some of the topics that contain algorithms and techniques are explained with the help of source code developed by the chapter contributors. The book covers the advancements in AI and healthcare from the Covid 19 pandemic and also analyzes the readiness and need for advancements in managing yet another pandemic in the future. Most of the technologies addressed in this book are added with a concept of encapsulation to obtain a cookbook for anyone who needs to reskill or upskill themselves in order to contribute to an advancement in the field. This book benefits students, professionals, and anyone from any background to learn about digital disruptions in healthcare.

Computational Intelligence for Modern Business Systems: Emerging Applications and Strategies (Disruptive Technologies and Digital Transformations for Society 5.0)

by Sandeep Kautish Prasenjit Chatterjee Dragan Pamucar N. Pradeep Deepmala Singh

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.

Computational Intelligence in Data Mining: Proceedings of ICCIDM 2021 (Smart Innovation, Systems and Technologies #281)

by Janmenjoy Nayak H. S. Behera Bighnaraj Naik S. Vimal Danilo Pelusi

This book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book is a collection of high-quality peer-reviewed research papers presented in the Sixth International Conference on Computational Intelligence in Data Mining (ICCIDM 2021) held at Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, India, during December 11–12, 2021. The book addresses the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.

Computational Intelligence in Recent Communication Networks (EAI/Springer Innovations in Communication and Computing)

by Mariya Ouaissa Zakaria Boulouard Mariyam Ouaissa Bassma Guermah

This book focuses on the use of Artificial Intelligence and Machine Learning (AI/ML) based techniques to solve issues related to communication networks, their layers, as well as their applications. The book first offers an introduction to recent trends regarding communication networks. The authors then provide an overview of theoretical concepts of AI/ML, techniques and protocols used in different layers of communication. Furthermore, this book presents solutions that help analyze complex patterns in user data and ultimately improve productivity. Throughout, AI/ML-based solutions are provided, for topics such as signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction, software-defined networking, congestion control, communication network optimization, security, and anomaly detection. The book features chapters from a large spectrum of authors including researchers, students, as well as industrials involved in research and development.

Computational Intelligence in Sensor Networks (Studies in Computational Intelligence #776)

by Himansu Das Bhabani Shankar Prasad Mishra Ajit Kumar Nayak Bijaya Ketan Panigrahi Satchidanand Dehuri Bijan Bihari Mishra

This book discusses applications of computational intelligence in sensor networks. Consisting of twenty chapters, it addresses topics ranging from small-scale data processing to big data processing realized through sensor nodes with the help of computational approaches. Advances in sensor technology and computer networks have enabled sensor networks to evolve from small systems of large sensors to large nets of miniature sensors, from wired communications to wireless communications, and from static to dynamic network topology. In spite of these technological advances, sensor networks still face the challenges of communicating and processing large amounts of imprecise and partial data in resource-constrained environments. Further, optimal deployment of sensors in an environment is also seen as an intractable problem. On the other hand, computational intelligence techniques like neural networks, evolutionary computation, swarm intelligence, and fuzzy systems are gaining popularity in solving intractable problems in various disciplines including sensor networks. The contributions combine the best attributes of these two distinct fields, offering readers a comprehensive overview of the emerging research areas and presenting first-hand experience of a variety of computational intelligence approaches in sensor networks.

Computational Intelligence in Telecommunications Networks

by Witold Pedrycz and Athanasios Vasilakos

Telecommunications has evolved and grown at an explosive rate in recent years and will undoubtedly continue to do so. As its functions, applications, and technology grow, it becomes increasingly complex and difficult, if not impossible, to meet the demands of a global network using conventional computing technologies. Computational intelligence (CI) is the technology of the future-and the future is now. Computational Intelligence in Telecommunications Networks offers an in-depth look at the rapid progress of CI technology and shows its importance in solving the crucial problems of future telecommunications networks. It covers a broad range of topics, from Call Admission Control, congestion control, and QoS-routing for ATM networks, to network design and management, optical, mobile, and active networks, and Intelligent Mobile Agents.Today's telecommunications professionals need a working knowledge of CI to exploit its potential to overcome emerging challenges. The CI community must become acquainted with those challenges to take advantage of the enormous opportunities the telecommunications field offers. This text meets both those needs, clearly, concisely, and with a depth certain to inspire further theoretical and practical advances.

Computational Intelligence Techniques for Combating COVID-19 (EAI/Springer Innovations in Communication and Computing)

by Sandeep Kautish Sheng-Lung Peng Ahmed J. Obaid

This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health, and forecasting how COVID-19 cases and deaths will spread across cities and why. Further, the book helps readers understand computational intelligence techniques combating COVID-19 in a simple and systematic way.

Computational Intelligence Techniques for Green Smart Cities (Green Energy and Technology)

by Mohamed Lahby Ala Al-Fuqaha Yassine Maleh

This book contains high-quality and original research on computational intelligence for green smart cities research. In recent years, the use of smart city technology has rapidly increased through the successful development and deployment of Internet of Things (IoT) architectures. The citizens' quality of life has been improved in several sensitive areas of the city, such as transportation, buildings, health care, education, environment, and security, thanks to these technological advancesComputational intelligence techniques and algorithms enable a computational analysis of enormous data sets to reveal patterns that recur. This information is used to inform and improve decision-making at the municipal level to build smart computational intelligence techniques and sustainable cities for their citizens. Machine intelligence allows us to identify trends (patterns). The smart city could better integrate its transportation network, for example. By offering a better public transportation network adapted to the demand, we could reduce personal vehicles and energy consumption. A smart city could use models to predict the consequences of a change, such as pedestrianizing a street or adding a bike lane. A city can even create a 3D digital twin to test hypothetical projects. This book comprises many state-of-the-art contributions from scientists and practitioners working in machine intelligence and green smart cities. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances in machine intelligence for green and sustainable smart city applications.

Computational Intelligent Security in Wireless Communications (Wireless Communications and Networking Technologies)

by Suhel Ahmad Khan, Rajeev Kumar, Omprakash Kaiwartya, Mohammad Faisal, and Raees Ahmad Khan

Wireless network security research is multidisciplinary in nature, including data analysis, economics, mathematics, forensics, information technology, and computer science. This text covers cutting-edge research in computational intelligence systems from diverse fields on the complex subject of wireless communication security. It discusses important topics including computational intelligence in wireless network and communications, artificial intelligence and wireless communication security, security risk scenarios in communications, security/resilience metrics and their measurements, data analytics of cyber-crimes, modeling of wireless communication security risks, advances in cyber threats and computer crimes, adaptive and learning techniques for secure estimation and control, decision support systems, fault tolerance and diagnosis, cloud forensics and information systems, and intelligent information retrieval. The book: Discusses computational algorithms for system modeling and optimization in security perspective Focuses on error prediction and fault diagnosis through intelligent information retrieval via wireless technologies Explores a group of practical research problems where security experts can help develop new data-driven methodologies Covers application on artificial intelligence and wireless communication security risk perspective The text is primarily written for senior undergraduate, graduate students, and researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering. The text comprehensively discusses wide range of wireless communication techniques with emerging computational intelligent trends, to help readers understand the role of wireless technologies in applications touching various spheres of human life with the help of hesitant fuzzy sets based computational modeling. It will be a valuable resource for senior undergraduate, graduate students, and researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

Computational Linguistics: 15th International Conference Of The Pacific Association For Computational Linguistics, Pacling 2017, Yangon, Myanmar, August 16-18, 2017, Revised Selected Papers (Communications In Computer And Information Science #781)

by Kôiti Hasida Win Pa Pa

This book constitutes the refereed proceedings of the 15th International Conference of the Pacific Association for Computational Linguistics, PACLING 2017, held in Yangon, Myanmar, in August 2017.The 28 revised full papers presented were carefully reviewed and selected from 50 submissions. The papers are organized in topical sections on semantics and semantic analysis; statistical machine translation; corpora and corpus-based language processing; syntax and syntactic analysis; document classification; information extraction and text mining; text summarization; text and message understanding; automatic speech recognition; spoken language and dialogue; speech pathology; speech analysis.

Computational Metrics for Soccer Analysis: Connecting the dots (SpringerBriefs in Applied Sciences and Technology)

by Filipe Manuel Clemente João Bernardo Sequeiros Acácio F. P. P. Correia Frutuoso G. M. Silva Fernando Manuel Lourenço Martins

This book provides an account of the use of computational tactical metrics in improving sports analysis, in particular the use of Global Positioning System (GPS) data in soccer. As well as offering a practical perspective on collective behavioural analysis, it introduces the computational metrics available in the literature that allow readers to identify collective behaviour and patterns of play in team sports. These metrics only require the bio-dimensional geo-referencing information from GPS or video-tracking systems to provide qualitative and quantitative information about the tactical behaviour of players and the inter-relationships between teammates and their opponents. Exercises, experimental cases and algorithms enable readers to fully comprehend how to compute these metrics, as well as introducing them to the ultimate performance analysis tool, which is the basis to run them on. The script to compute the metrics is presented in Python. The book is a valuable resource for professional analysts as well students and researchers in the field of sports analysis wanting to optimise the use of GPS trackers in soccer.

Computational Science and Technology: 7th ICCST 2020, Pattaya, Thailand, 29–30 August, 2020 (Lecture Notes in Electrical Engineering #724)

by Rayner Alfred Hiroyuki Iida Haviluddin Haviluddin Patricia Anthony

This book gathers the proceedings of the Seventh International Conference on Computational Science and Technology 2020 (ICCST 2020), held in Pattaya, Thailand, on 29–30 August 2020. The respective contributions offer practitioners and researchers a range of new computational techniques and solutions, identify emerging issues, and outline future research directions, while also showing them how to apply the latest large-scale, high-performance computational methods.

Computational Social Networks: 5th International Conference, CSoNet 2016, Ho Chi Minh City, Vietnam, August 2-4, 2016, Proceedings (Lecture Notes in Computer Science #9795)

by Hien T. Nguyen Vaclav Snasel

Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2. 0 has enabled a new generation of web-based communities, social networks, and folksonomies to facilitate collaboration among different communities. This unique text/reference compares and contrasts the ethological approach to social behavior in animals with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks. An international team of leading experts present the latest advances of various topics in intelligent-social-networks and illustrates how organizations can gain competitive advantages by applying the different emergent techniques in real-world scenarios. The work incorporates experience reports, survey articles, and intelligence techniques and theories with specific network technology problems. Topics and Features: Provides an overview social network tools, and explores methods for discovering key players in social networks, designing self-organizing search systems, and clustering blog sites, surveys techniques for exploratory analysis and text mining of social networks, approaches to tracking online community interaction, and examines how the topological features of a system affects the flow of information, reviews the models of network evolution, covering scientific co-citation networks, nature-inspired frameworks, latent social networks in e-Learning systems, and compound communities, examines the relationship between the intent of web pages, their architecture and the communities who take part in their usage and creation, discusses team selection based on members social context, presents social network applications, including music recommendation and face recognition in photographs, explores the use of social networks in web services that focus on the discovery stage in the life cycle of these web services. This useful and comprehensive volume will be indispensible to senior undergraduate and postgraduate students taking courses in Social Intelligence, as well as to researchers, developers, and postgraduates interested in intelligent-social-networks research and related areas. "

Computationally Intelligent Systems and their Applications (Studies in Computational Intelligence #950)

by Jagdish Chand Bansal Marcin Paprzycki Monica Bianchini Sanjoy Das

This book covers all core technologies like neural networks, fuzzy systems, and evolutionary computation and their applications in the systems. Computationally intelligent system is a new concept for advanced information processing. The objective of this system is to realize a new approach for analyzing and creating flexible information processing of sensing, learning, recognizing, and action taking. Computational intelligent is a part of artificial intelligence (AI) which includes the study of versatile components to empower or encourage savvy practices in intricate and evolving situations. The computationally intelligent system highly relies on numerical information supplied by manufacturers unlike AI.

Computer-assisted Investigative Reporting: Development and Methodology (Routledge Communication Series)

by Margaret H. DeFleur

Conducting computer analyses for the purposes of revealing information of significance to the press represents an extension of one of the most important forms of American journalism into the contemporary era of new technologies. Investigative reporting had its start with the establishment of the metropolitan newspaper during the early decades of the 1900s. At the time, it was a continuation of the evolving tradition of freedom of the press that had characterized American political life since colonial times. As it developed, investigative reporting stressed facts rather than the opinions of the editor or reporter. In turn, that tradition had its own intellectual roots. Today, computer-assisted investigative reporting (CAIR) extends that "marketplace of ideas" into systematic examinations of the electronic records of government. In addition, computer analyses of other kinds of information systematically gathered by journalists can provide the press with insights into trends and patterns unlikely to be revealed by other means. This unique volume addresses procedures and issues in investigative journalism that have not been explained in other publications. It sets forth -- for the first time -- a detailed and specific methodology for conducting computer-assisted investigative analyses of both large and small scale electronic records of government and other agencies. That methodology consists of the logic of inquiry, strategies for reaching valid conclusions, and rules for reporting what has been revealed by the analyses to the public in clear ways. Such systematic methodologies are essential in social and other sciences and the development of a counterpart for investigative journalism has been badly needed. That systematic methodology is developed within a context that explains the origin and major characteristics of those elements that have come together in American society to make computer-assisted investigative reporting both possible and increasingly a part of standard newsroom practices. These include the development of traditional investigative journalism, the evolution of computer technology, the use of computers by government to keep records, the legal evolution of freedom of information laws, the rapid adoption of computers in newsrooms, the increasing importance of precision journalism, and the sharp increase in recent times of computer-assisted investigative reporting by American newspapers both large and small. The issues addressed in this book are discussed in a very readable context with an abundance of examples and illustrations drawn from the real world of journalism as it is practiced daily in newsrooms around the country. Explanations of concepts, principles, and procedures are set forth in layperson's terms that require very little in the way of knowledge of computers or statistical methods.

Computer-assisted Reporting (Routledge Communication Ser.)

by Bruce Garrison

Reporters in the newsroom are becoming more involved in computer-assisted reporting and online news research than ever before. This edition introduces readers to computer-assisted reporting and to describe how leading journalists are using personal computers for news gathering in modern print, broadcast, and online newsrooms. It provides a thorough discussion of technology and its applications to news reporting. Computer Assisted Reporting focuses on the computerization of newsgathering, highlighting the fact that the computer assists journalists by making writing easier, and also makes gathering and organizing information more efficient. As it begins, the book demonstrates methods for journalists to get more from their computers, such as data retrieval, data analysis, information storage, and dissemination of that information in both processed and unprocessed forms. It concludes with a refined proposal, originally proposed in the first edition, for five stages for development of computer literacy in the newsroom.

Computer-Assisted Reporting: A Practical Guide (4th Edition)

by Brant Houston

This straightforward and effective how-to guide provides the basics for any journalist or student beginning to use data for news stories. It has step-by-step instructions on how to do basic data analysis in journalism while addressing why these digital tools should be an integral part of reporting in the 21st century. The book pays particular attention to the need for accuracy in computer-assisted reporting and to both the potential and pitfalls in utilizing large datasets in journalism. An ideal core text for courses on data-driven journalism or computer-assisted reporting, Houston pushes back on current trends by helping current and future journalists become more accountable for the accuracy and relevance of the data they acquire and share. Online instructor's materials are available to adopting professors, and additional exercises are available free online to students at the below address: http://ire.org/carbook/username: carbookpassword: carbook4

Computer, Communication and Electrical Technology: Proceedings of the International Conference on Advancement of Computer Communication and Electrical Technology (ACCET 2016), West Bengal, India, 21-22 October 2016

by Debatosh Guha; Badal Chakraborty; Himadri Sekhar Dutta

The First International Conference on Advancement of Computer, Communication and Electrical Technology focuses on key technologies and recent progress in computer vision, information technology applications, VLSI, signal processing, power electronics & drives, and application of sensors & transducers, etc. Topics in this conference include: Computer ScienceThis conference encompassed relevant topics in computer science such as computer vision & intelligent system, networking theory, and application of information technology. Communication EngineeringTo enhance the theory & technology of communication engineering, ACCET 2016 highlighted the state-of the-art research work in the field of VLSI, optical communication, and signal processing of various data formatting. Research work in the field of microwave engineering, cognitive radio and networks are also included. Electrical TechnologyThe state-of-the-art research topic in the field of electrical & instrumentation engineering is included in this conference such as power system stability & protection, non-conventional energy resources, electrical drives, and biomedical engineering. Research work in the area of optimization and application in control, measurement & instrumentation are included as well.

Computer Communication, Networking and IoT: Proceedings of ICICC 2020 (Lecture Notes in Networks and Systems #197)

by Vikrant Bhateja Suresh Chandra Satapathy Carlos M. Travieso-Gonzalez Wendy Flores-Fuentes

This book features a collection of high-quality, peer-reviewed papers presented at the Fourth International Conference on Intelligent Computing and Communication (ICICC 2020) organized by the Department of Computer Science and Engineering and the Department of Computer Science and Technology, Dayananda Sagar University, Bengaluru, India, on 18–20 September 2020. The book is organized in two volumes and discusses advanced and multi-disciplinary research regarding the design of smart computing and informatics. It focuses on innovation paradigms in system knowledge, intelligence and sustainability that can be applied to provide practical solutions to a number of problems in society, the environment and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and health care.

Computer Communication, Networking and IoT: Proceedings of 5th ICICC 2021, Volume 2 (Lecture Notes in Networks and Systems #459)

by Suresh Chandra Satapathy Jerry Chun-Wei Lin Lai Khin Wee Vikrant Bhateja T. M. Rajesh

This book features a collection of high-quality, peer-reviewed papers presented at the Fifth International Conference on Intelligent Computing and Communication (ICICC 2021) organized by the Department of Computer Science and Engineering and Department of Computer Science and Technology, Dayananda Sagar University, Bengaluru, India, on November 26 – 27, 2021. The book is organized in two volumes and discusses advanced and multi-disciplinary research regarding the design of smart computing and informatics. It focuses on innovation paradigms in system knowledge, intelligence, and sustainability that can be applied to provide practical solutions to a number of problems in society, the environment and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology, and healthcare.

Computer Games and Technical Communication: Critical Methods and Applications at the Intersection (Routledge Studies in Technical Communication, Rhetoric, and Culture)

by Jennifer deWinter Ryan M. Moeller

Taking as its point of departure the fundamental observation that games are both technical and symbolic, this collection investigates the multiple intersections between the study of computer games and the discipline of technical and professional writing. Divided into five parts, Computer Games and Technical Communication engages with questions related to workplace communities and gamic simulations; industry documentation; manuals, gameplay, and ethics; training, testing, and number crunching; and the work of games and gamifying work. In that computer games rely on a complex combination of written, verbal, visual, algorithmic, audio, and kinesthetic means to convey information, technical and professional writing scholars are uniquely poised to investigate the intersection between the technical and symbolic aspects of the computer game complex. The contributors to this volume bring to bear the analytic tools of the field to interpret the roles of communication, production, and consumption in this increasingly ubiquitous technical and symbolic medium.

Computer, Informatics, Cybernetics and Applications: Proceedings of the CICA 2011 (Lecture Notes in Electrical Engineering #107)

by Xiaozhu Liu Ertian Hua Xingui He Yun Lin

The Conference on Computer, Informatics, Cybernetics and Applications 2011 aims to facilitate an exchange of information on best practices for the latest research advances in the area of computer, informatics, cybernetics and applications, which mainly includes computer science and engineering, informatics, cybernetics, control systems, communication and network systems, technologies and applications, others and emerging new topics.

Computer Mediated Communication

by Crispin Thurlow Laura Lengel Alice Tomic

This book offers students a task-based introduction to Computer-Mediated Communication and the impact of the internet on social interaction. Divided into four parts which require students to learn, (theory), critique, (current issues), explore, (methods), and reflect, (practice), the book aims to: · Provide a foundation to the social and communicative nature of information and communication technologies · Enable students to engage with the key theoretical issues associated with CMC · Equip students with the necessary research and technical skills as a stimulus to independent enquiry. In spite of the rapidly increasing interest in Internet Studies and CMC and the introduction of many university courses in the area, no specialised, introductory textbook exists. This coursebook responds to the need for such a text. Aimed primarily at communication students, this book would also be useful as a sourcebook for students of media, sociology, psychology and English Language Studies. The authors have also created a companion website at http://www. com. washington. edu/cmc

Computer Networks: Data Communications, Internet and Security

by Ata Elahi Alex Cushman

​The hands-on textbook covers both the theory and applications of data communications, the Internet, and network security technology, following the ACM guideline for courses in networking. The content is geared towards upper undergraduate and graduate students in information technology, communications engineering, and computer science. The book is divided into three sections: Data Communications, Internet Architecture, and Network Security. Topics covered include flow control and reliable transmission; modulation, DSL, cable modem, and FTTH; Ethernet and Fast Ethernet; gigabit and 10 gigabit Ethernet; and LAN interconnection devices, among others. The book also covers emerging topics such as IPv6 and software defined networks. The book is accompanied with a lab manual which uses Wireshark, Cisco Packet Tracer, and virtual machines to lead students through simulated labs.

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