Recent Trends in Computational Intelligence Enabled Research Book

Recent Trends in Computational Intelligence Enabled Research


  • Author : Siddhartha Bhattacharyya
  • Publisher : Academic Press
  • Release Date : 2021-07-31
  • Genre: Computers
  • Pages : 418
  • ISBN 10 : 9780323851794

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Recent Trends in Computational Intelligence Enabled Research Excerpt :

The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of computational intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few. Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications explores the use of this computational paradigm across a wide range of applied domains which handle meaningful information. Chapters investigate a broad spectrum of the applications of computational intelligence across different platforms and disciplines, expanding our knowledge base of various research initiatives in this direction. This volume aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all major areas and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing. Provides insights into the theory, algorithms, implementation, and application of computational intelligence techniques Covers a wide range of applications of deep learning across various domains which are researching the applications of computational intelligence

Computational Intelligence Techniques for Combating COVID 19 Book

Computational Intelligence Techniques for Combating COVID 19


  • Author : Sandeep Kautish
  • Publisher : Springer Nature
  • Release Date : 2021
  • Genre: Biomedical engineering
  • Pages : 392
  • ISBN 10 : 9783030689360

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Computational Intelligence Techniques for Combating COVID 19 Excerpt :

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. Provides a comprehensive reference covering innovations and development of theories, conceptual models and computational algorithms focused on COVID-19; Asserts all relevant research, key themes, complex adaptive systems, metrics and paradigms dedicated towards COVID-19, enabled with evolutionary methods of computational sciences; Explores how AI and computational techniques can help to predict which patients with the virus would go on to develop Acute Respiratory Distress Syndrome (ARDS).

Computationally Intensive Statistics for Intelligent IoT Book

Computationally Intensive Statistics for Intelligent IoT


  • Author : Debabrata Samanta
  • Publisher : Springer Nature
  • Release Date : 2021-11-03
  • Genre: Technology & Engineering
  • Pages : 218
  • ISBN 10 : 9789811659362

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Computationally Intensive Statistics for Intelligent IoT Excerpt :

The book covers computational statistics, its methodologies and applications for IoT device. It includes the details in the areas of computational arithmetic and its influence on computational statistics, numerical algorithms in statistical application software, basics of computer systems, statistical techniques, linear algebra and its role in optimization techniques, evolution of optimization techniques, optimal utilization of computer resources, and statistical graphics role in data analysis. It also explores computational inferencing and computer model's role in design of experiments, Bayesian analysis, survival analysis and data mining in computational statistics.

Data Science for COVID 19 Volume 1 Book
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Data Science for COVID 19 Volume 1


  • Author : Utku Kose
  • Publisher : Academic Press
  • Release Date : 2021-05-20
  • Genre: Science
  • Pages : 752
  • ISBN 10 : 9780128245378

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Data Science for COVID 19 Volume 1 Excerpt :

Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety. Finally, readers will learn about applications of Big Data and new data models for mitigation. Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and treatment of the COVID-19 virus Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including both positive and negative research findings Provides insights into innovative data-oriented modeling and predictive techniques from COVID-19 researchers Includes real-world feedback and user experiences from physicians and medical staff from around the world on the effectiveness of applied Data Science solutions

Applications of Machine intelligence in Engineering Book

Applications of Machine intelligence in Engineering


  • Author : Jyotsna Kumar Mandal
  • Publisher : CRC Press
  • Release Date : 2022-04-22
  • Genre: Computers
  • Pages : 654
  • ISBN 10 : 9781000645835

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Applications of Machine intelligence in Engineering Excerpt :

The Global Conference on Artificial Intelligence and Applications (GCAIA 2021) provides a prominent venue for researchers, engineers, entrepreneurs, and scholar students to share their research ideas in the area of AI. Academic researchers would reveal the results and conclusions of laboratory based investigations via the GCAIA 21 platform, which bridges the gap between academia, industry, and government ethics. The GCAIA 21 platform will also bring together regional and worldwide issues to explore current advancements in contemporary Computation Intelligence. This Conference Proceedings volume contains the written versions of most of the contributions presented during the conference of GCAIA 2021. The conference has provided an excellent chance for researchers from diverse locations to present and debate their work in the field of artificial intelligence and its applications. It includes a selection of 62 papers. All accepted papers were subjected to strict peer-review by 2–4 expert referees. The papers have been selected for this volume because of their quality and their relevance to the theme of the conference.

Recent Trends in Computational Intelligence Book

Recent Trends in Computational Intelligence


  • Author : Ali Sadollah
  • Publisher : BoD – Books on Demand
  • Release Date : 2020-05-06
  • Genre: Computers
  • Pages : 198
  • ISBN 10 : 9781838807054

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Recent Trends in Computational Intelligence Excerpt :

Traditional models struggle to cope with complexity, noise, and the existence of a changing environment, while Computational Intelligence (CI) offers solutions to complicated problems as well as reverse problems. The main feature of CI is adaptability, spanning the fields of machine learning and computational neuroscience. CI also comprises biologically-inspired technologies such as the intellect of swarm as part of evolutionary computation and encompassing wider areas such as image processing, data collection, and natural language processing. This book aims to discuss the usage of CI for optimal solving of various applications proving its wide reach and relevance. Bounding of optimization methods and data mining strategies make a strong and reliable prediction tool for handling real-life applications.

Intelligence Enabled Research Book

Intelligence Enabled Research


  • Author : Siddhartha Bhattacharyya
  • Publisher : Springer Nature
  • Release Date : 2020-12-12
  • Genre: Technology & Engineering
  • Pages : 123
  • ISBN 10 : 9789811592904

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Intelligence Enabled Research Excerpt :

This book gathers extended versions of papers presented at DoSIER 2020 (the Second Doctoral Symposium on Intelligence Enabled Research, held at Visva-Bharati University, Santiniketan, West Bengal, India, during 12–13 August 2020). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.

New Trends in Computational Collective Intelligence Book

New Trends in Computational Collective Intelligence


  • Author : David Camacho
  • Publisher : Springer
  • Release Date : 2014-09-10
  • Genre: Technology & Engineering
  • Pages : 213
  • ISBN 10 : 9783319107745

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New Trends in Computational Collective Intelligence Excerpt :

This book consists of 20 chapters in which the authors deal with different theoretical and practical aspects of new trends in Collective Computational Intelligence techniques. Computational Collective Intelligence methods and algorithms are one the current trending research topics from areas related to Artificial Intelligence, Soft Computing or Data Mining among others. Computational Collective Intelligence is a rapidly growing field that is most often understood as an AI sub-field dealing with soft computing methods which enable making group decisions and processing knowledge among autonomous units acting in distributed environments. Web-based Systems, Social Networks, and Multi-Agent Systems very often need these tools for working out consistent knowledge states, resolving conflicts and making decisions. The chapters included in this volume cover a selection of topics and new trends in several domains related to Collective Computational Intelligence: Language and Knowledge Processing, Data Mining Methods and Applications, Computer Vision, and Intelligent Computational Methods. This book will be useful for graduate and PhD students in computer science as well as for mature academics, researchers and practitioners interested in the methods and applications of collective computational intelligence in order to create new intelligent systems.

Cyber Enabled Intelligence Book

Cyber Enabled Intelligence


  • Author : Huansheng Ning
  • Publisher : Taylor & Francis
  • Release Date : 2019-08-08
  • Genre: Computers
  • Pages : 335
  • ISBN 10 : 9780429589737

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Cyber Enabled Intelligence Excerpt :

The book provides an advanced vision and trends of computational intelligence in cyberspace and cyber-enabled spaces. It reviews architectures and models, as well as state-of-the-art computational and interpretation capabilities for social, industrial, and multimedia applications. Cyber-enabled intelligence involves the design and development of intelligent and innovative application scenarios in social networks, computer vision, multimedia, and image processing. Application scenarios can also cover the applicability of intelligent sensing, data collection and predictive analysis in Internet of Things.

Recent Trends and Advances in Artificial Intelligence and Internet of Things Book

Recent Trends and Advances in Artificial Intelligence and Internet of Things


  • Author : Valentina E. Balas
  • Publisher : Springer Nature
  • Release Date : 2019-11-19
  • Genre: Technology & Engineering
  • Pages : 607
  • ISBN 10 : 9783030326449

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Recent Trends and Advances in Artificial Intelligence and Internet of Things Excerpt :

This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.

Trends in Computational Intelligence  Security and Internet of Things Book

Trends in Computational Intelligence Security and Internet of Things


  • Author : Nirmalya Kar
  • Publisher : Springer Nature
  • Release Date : 2020-12-29
  • Genre: Computers
  • Pages : 329
  • ISBN 10 : 9783030667634

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Trends in Computational Intelligence Security and Internet of Things Excerpt :

This volume constitutes the refereed proceedings of the Third International Conference on Computational Intelligence, Security and Internet of Things, ICCISIoT 2020, held in Agartala, India, in December 2020. Due to the COVID-19 pandemic the conference was held online. The 23 full papers and 4 short papers were carefully reviewed and selected from 113 submissions. The papers are organised according to the following topics: computational intelligence, security, and internet of things.

Intelligent Computing Paradigm  Recent Trends Book

Intelligent Computing Paradigm Recent Trends


  • Author : J. K. Mandal
  • Publisher : Springer
  • Release Date : 2019-04-23
  • Genre: Technology & Engineering
  • Pages : 122
  • ISBN 10 : 9789811373343

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Intelligent Computing Paradigm Recent Trends Excerpt :

This book includes extended versions of selected works presented at the 52nd Annual Convention of Computer Society of India (CSI 2017), held at Science City, Kolkata on 19–21 January 2018. It features a collection of chapters focusing on recent trends in computational intelligence, covering topics such as ANN, neuro-fuzzy based clustering, edge detection, data mining, mobile cloud computing, intelligent scheduling, processing and authentication. It also discusses societal applications of these methods. As such it is useful for students, researchers and industry professionals working in the area of computational intelligence.

Recent Trends and Advances in Wireless and IoT enabled Networks Book

Recent Trends and Advances in Wireless and IoT enabled Networks


  • Author : Mian Ahmad Jan
  • Publisher : Springer
  • Release Date : 2019-01-22
  • Genre: Technology & Engineering
  • Pages : 352
  • ISBN 10 : 9783319999661

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Recent Trends and Advances in Wireless and IoT enabled Networks Excerpt :

The book covers a variety of topics in Information and Communications Technology (ICT) and their impact on innovation and business. The authors discuss various innovations, business and industrial motivations, and impact on humans and the interplay between those factors in terms of finance, demand, and competition. Topics discussed include the convergence of Machine to Machine (M2M), Internet of Things (IoT), Social, and Big Data. They also discuss AI and its integration into technologies from machine learning, predictive analytics, security software, to intelligent agents, and many more. Contributions come from academics and professionals around the world. Covers the most recent practices in ICT related topics pertaining to technological growth, innovation, and business; Presents a survey on the most recent technological areas revolutionizing how humans communicate and interact; Features four sections: IoT, Wireless Ad Hoc & Sensor Networks, Fog Computing, and Big Data Analytics.

Applications of Computational Intelligence in Multi Disciplinary Research Book

Applications of Computational Intelligence in Multi Disciplinary Research


  • Author : Ahmed A. Elngar
  • Publisher : Academic Press
  • Release Date : 2022-02-14
  • Genre: Science
  • Pages : 220
  • ISBN 10 : 9780128241769

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Applications of Computational Intelligence in Multi Disciplinary Research Excerpt :

Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts, and algorithms of computational intelligence to a wide spectrum of research cases. The book covers the main approaches used in computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods, all of which can be collectively viewed as soft computing. Other key approaches included are swarm intelligence and artificial immune systems. These approaches provide researchers with powerful tools for analysis and problem-solving when data is incomplete and when the problem under consideration is too complex for standard mathematics and the crisp logic approach of Boolean computing. Provides an overview of the key methods of computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods Includes case studies and real-world examples of computational intelligence applied in a variety of research topics, including bioinformatics, biomedical engineering, big data analytics, information security, signal processing, machine learning, nanotechnology, and optimization techniques Presents a thorough technical explanation on how computational intelligence is applied that is suitable for a wide range of multidisciplinary and interdisciplinary research

Emerging Trends and Advanced Technologies for Computational Intelligence Book

Emerging Trends and Advanced Technologies for Computational Intelligence


  • Author : Liming Chen
  • Publisher : Springer
  • Release Date : 2016-06-06
  • Genre: Computers
  • Pages : 414
  • ISBN 10 : 9783319333533

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Emerging Trends and Advanced Technologies for Computational Intelligence Excerpt :

This book is a collection of extended chapters from the selected papers that were published in the proceedings of Science and Information (SAI) Conference 2015. It contains twenty-one chapters in the field of Computational Intelligence, which received highly recommended feedback during SAI Conference 2015 review process. During the three-day event 260 scientists, technology developers, young researcher including PhD students, and industrial practitioners from 56 countries have engaged intensively in presentations, demonstrations, open panel sessions and informal discussions.