Skip to main content

Recent Trends In Computational Intelligence Enabled Research

Download Recent Trends In Computational Intelligence Enabled Research Full eBooks in PDF, EPUB, and kindle. Recent Trends In Computational Intelligence Enabled Research is one my favorite book and give us some inspiration, very enjoy to read. you could read this book anywhere anytime directly from your device.

Recent Trends in Computational Intelligence Enabled Research

Recent Trends in Computational Intelligence Enabled Research Book
Author : Siddhartha Bhattacharyya,Paramartha Dutta,Debabrata Samanta,Anirban Mukherjee,Indrajit Pan
Publisher : Academic Press
Release : 2021-07-31
ISBN : 0323851797
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

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 Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques

Computational Intelligence Techniques for Combating COVID 19

Computational Intelligence Techniques for Combating COVID 19 Book
Author : Sandeep Kautish,Sheng-Lung Peng,Ahmed J. Obaid
Publisher : Springer Nature
Release : 2021
ISBN : 3030689360
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

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

Computationally Intensive Statistics for Intelligent IoT Book
Author : Debabrata Samanta,Amit Banerjee
Publisher : Springer Nature
Release : 2021-11-03
ISBN : 9811659362
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

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.

Recent Trends in Computational Intelligence

Recent Trends in Computational Intelligence Book
Author : Ali Sadollah,Tilendra Sinha
Publisher : BoD – Books on Demand
Release : 2020-05-06
ISBN : 1838807055
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

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.

Intelligent Cyber Physical Systems Security for Industry 4 0

Intelligent Cyber Physical Systems Security for Industry 4 0 Book
Author : Jyoti Sekhar Banerjee,Siddhartha Bhattacharyya,Ahmed J Obaid,Wei-Chang Yeh
Publisher : CRC Press
Release : 2022-12-16
ISBN : 1000815137
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

Intelligent Cyber-Physical Systems Security for Industry 4.0: Applications, Challenges and Management presents new cyber-physical security findings for Industry 4.0 using emerging technologies like artificial intelligence (with machine/deep learning), data mining, applied mathematics. All these are the essential components for processing data, recognizing patterns, modeling new techniques, and improving the advantages of data science. Features • Presents an integrated approach with Cyber-Physical Systems, CPS security, and Industry 4.0 in one place • Exposes the necessity of security initiatives, standards, security policies, and procedures in the context of industry 4.0 • Suggests solutions for enhancing the protection of 5G and the Internet of Things (IoT) security • Promotes how optimization or intelligent techniques envisage the role of artificial intelligence-machine/deep learning (AI-ML/DL) in cyberphysical systems security for industry 4.0 This book is primarily aimed at graduates, researchers and professionals working in the field of security. Executives concerned with security management, knowledge dissemination, information, and policy development for data and network security in different educational, government, and non-government organizations will also find this book useful.

Current Applications of Deep Learning in Cancer Diagnostics

Current Applications of Deep Learning in Cancer Diagnostics Book
Author : Jyotismita Chaki,Aysegul Ucar
Publisher : CRC Press
Release : 2023-02-22
ISBN : 1000836150
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

This book examines deep learning-based approaches in the field of cancer diagnostics, as well as pre-processing techniques, which are essential to cancer diagnostics. Topics include introduction to current applications of deep learning in cancer diagnostics, pre-processing of cancer data using deep learning, review of deep learning techniques in oncology, overview of advanced deep learning techniques in cancer diagnostics, prediction of cancer susceptibility using deep learning techniques, prediction of cancer reoccurrence using deep learning techniques, deep learning techniques to predict the grading of human cancer, different human cancer detection using deep learning techniques, prediction of cancer survival using deep learning techniques, complexity in the use of deep learning in cancer diagnostics, and challenges and future scopes of deep learning techniques in oncology.

Data Science for COVID 19 Volume 1

Data Science for COVID 19 Volume 1 Book
Author : Utku Kose,Deepak Gupta,Victor Hugo Costa de Albuquerque,Ashish Khanna
Publisher : Academic Press
Release : 2021-05-20
ISBN : 0128245379
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

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

Managing and Implementing the Digital Transformation

Managing and Implementing the Digital Transformation Book
Author : Dominik T. Matt,Renato Vidoni,Erwin Rauch,Patrick Dallasega
Publisher : Springer Nature
Release : 2022-09-14
ISBN : 3031143175
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

This book shows how companies can practically implement the advantages of Industry 4.0 and digitalization and also addresses the current challenges with regard to engineering education for Industry 4.0. In this book, we collect the contributions of the 1st Symposium on Industrial Engineering and Automation (ISIEA 2022), which took place from June 21–22, 2022 at the Free University of Bolzano. The contributions cover three basic areas: (1) best practice examples and technical solutions for the implementation of Industry 4.0 in production and logistics, (2) management-oriented approaches for the digital transformation in companies, and (3) addressing Industry 4.0 in engineering education. The book targets different readers. Researchers find approaches to current research topics regarding Industry 4.0. Practitioners find valuable examples for technological implementations as well as management approaches for introducing digitalization. Students and lecturers find hints on how Industry 4.0 can be integrated into university teaching.

Convergence of Deep Learning in Cyber IoT Systems and Security

Convergence of Deep Learning in Cyber IoT Systems and Security Book
Author : Rajdeep Chakraborty,Anupam Ghosh,Jyotsna Kumar Mandal,S. Balamurugan
Publisher : John Wiley & Sons
Release : 2022-11-08
ISBN : 111985766X
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

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.

Cyber Enabled Intelligence

Cyber Enabled Intelligence Book
Author : Huansheng Ning,Liming Chen,Ata Ullah,Xiong Luo
Publisher : Taylor & Francis
Release : 2019-08-08
ISBN : 0429591675
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

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.

New Trends in Computational Collective Intelligence

New Trends in Computational Collective Intelligence Book
Author : David Camacho,Sang-Wook Kim,Bogdan Trawiński
Publisher : Springer
Release : 2014-09-10
ISBN : 3319107747
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

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.

Computational Intelligence Cyber Security and Computational Models Recent Trends in Computational Models Intelligent and Secure Systems

Computational Intelligence  Cyber Security and Computational Models  Recent Trends in Computational Models  Intelligent and Secure Systems Book
Author : Indhumathi Raman,Poonthalir Ganesan,Venkatasamy Sureshkumar,Latha Ranganathan
Publisher : Springer Nature
Release : 2022-10-01
ISBN : 3031155564
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

This book constitutes the proceedings of the 5th International Conference, ICC3 2021, held in Coimbatore, India, during December 16–18, 2021. The 14 full papers included in this book were carefully reviewed and selected from 84 submissions. They were organized in topical sections as follows: computational intelligence; cyber security; and computational models.

New Trends in Computational Collective Intelligence

New Trends in Computational Collective Intelligence Book
Author : David Camacho,Sang-Wook Kim,Bogdan Trawiński
Publisher : Springer
Release : 2016-09-10
ISBN : 9783319364896
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

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.

Intelligence Enabled Research

Intelligence Enabled Research Book
Author : Siddhartha Bhattacharyya,Paramartha Dutta,Kakali Datta
Publisher : Springer Nature
Release : 2020-12-12
ISBN : 981159290X
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

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.

Handbook of Research on Emerging Trends and Applications of Machine Learning

Handbook of Research on Emerging Trends and Applications of Machine Learning Book
Author : Solanki, Arun,Kumar, Sandeep,Nayyar, Anand
Publisher : IGI Global
Release : 2019-12-13
ISBN : 1522596453
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.

Proceedings of Research and Applications in Artificial Intelligence

Proceedings of Research and Applications in Artificial Intelligence Book
Author : Indrajit Pan,Anirban Mukherjee,Vincenzo Piuri
Publisher : Springer Nature
Release : 2021-06-10
ISBN : 9811615438
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

This book discusses the recent research trends and upcoming applications based on artificial intelligence. It includes best selected research papers presented at the International Conference on Research and Applications in Artificial Intelligence (RAAI 2020), organized by Department of Information Technology, RCC Institute of Information technology, Kolkata, West Bengal, India during 19 – 20, December, 2020. Many versatile fields of artificial intelligence are categorically addressed through different chapters of this book. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in these important areas.

Recent Trends in Signal and Image Processing

Recent Trends in Signal and Image Processing Book
Author : Siddhartha Bhattacharyya,Leo Mršić,Maja Brkljačić,Joseph Varghese Kureethara,Mario Koeppen
Publisher : Springer Nature
Release : 2021-04-01
ISBN : 9813369663
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

This book gathers selected papers presented at the Third International Symposium on Signal and Image Processing (ISSIP 2020), organized by the Department of Information Technology, RCC Institute of Information Technology, Kolkata, during March 18–19, 2020. It presents fascinating, state-of-the-art research findings in the field of signal and image processing. It includes conference papers covering a wide range of signal processing applications involving filtering, encoding, classification, segmentation, clustering, feature extraction, denoising, watermarking, object recognition, reconstruction and fractal analysis. It addresses various types of signals, such as image, video, speech, non-speech audio, handwritten text, geometric diagram, ECG and EMG signals; MRI, PET and CT scan images; THz signals; solar wind speed signals (SWS); and photoplethysmogram (PPG) signals, and demonstrates how new paradigms of intelligent computing, like quantum computing, can be applied to process and analyze signals precisely and effectively.

Recent Trends and Advances in Artificial Intelligence and Internet of Things

Recent Trends and Advances in Artificial Intelligence and Internet of Things Book
Author : Valentina E. Balas,Raghvendra Kumar,Rajshree Srivastava
Publisher : Springer Nature
Release : 2019-11-19
ISBN : 3030326446
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

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.

Emerging Trends and Advanced Technologies for Computational Intelligence

Emerging Trends and Advanced Technologies for Computational Intelligence Book
Author : Liming Chen,Supriya Kapoor,Rahul Bhatia
Publisher : Springer
Release : 2016-06-06
ISBN : 3319333534
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

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.

Applications of Computational Intelligence in Multi Disciplinary Research

Applications of Computational Intelligence in Multi Disciplinary Research Book
Author : Ahmed A. Elngar,Rajdeep Chowdhury,Mohamed Elhoseny,Valentina Emilia Balas
Publisher : Academic Press
Release : 2022-02-14
ISBN : 0128241764
Language : En, Es, Fr & De

DOWNLOAD

Book Description :

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