Recent Trends in Computational Intelligence Enabled Research

Recent Trends in Computational Intelligence Enabled Research
Author: Siddhartha Bhattacharyya,Paramartha Dutta,Debabrata Samanta,Anirban Mukherjee,Indrajit Pan
Publsiher: Academic Press
Total Pages: 350
Release: 2021-08-01
ISBN 10: 0323851797
ISBN 13: 9780323851794
Language: EN, FR, DE, ES & NL

Recent Trends in Computational Intelligence Enabled Research Book Review:

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 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

Cyber Enabled Intelligence

Cyber Enabled Intelligence
Author: Huansheng Ning,Liming Chen,Ata Ullah,Xiong Luo
Publsiher: Taylor & Francis
Total Pages: 335
Release: 2019-08-08
ISBN 10: 0429589735
ISBN 13: 9780429589737
Language: EN, FR, DE, ES & NL

Cyber Enabled Intelligence Book Review:

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.

Computational Intelligence Techniques for Combating COVID 19

Computational Intelligence Techniques for Combating COVID 19
Author: Sandeep Kautish
Publsiher: Springer Nature
Total Pages: 329
Release: 2021
ISBN 10: 3030689360
ISBN 13: 9783030689360
Language: EN, FR, DE, ES & NL

Computational Intelligence Techniques for Combating COVID 19 Book Review:

Hybrid Computational Intelligence

Hybrid Computational Intelligence
Author: Siddhartha Bhattacharyya,Vaclav Snasel,Deepak Gupta,Ashish Khanna
Publsiher: Academic Press
Total Pages: 250
Release: 2020-03-05
ISBN 10: 012818700X
ISBN 13: 9780128187005
Language: EN, FR, DE, ES & NL

Hybrid Computational Intelligence Book Review:

Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems. Provides insights into the latest research trends in hybrid intelligent algorithms and architectures Focuses on the application of hybrid intelligent techniques for pattern mining and recognition, in big data analytics, and in human-computer interaction Features hybrid intelligent applications in biomedical engineering and healthcare informatics

Recent Trends and Advances in Artificial Intelligence and Internet of Things

Recent Trends and Advances in Artificial Intelligence and Internet of Things
Author: Valentina E. Balas,Raghvendra Kumar,Rajshree Srivastava
Publsiher: Springer Nature
Total Pages: 607
Release: 2019-11-19
ISBN 10: 3030326446
ISBN 13: 9783030326449
Language: EN, FR, DE, ES & NL

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

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.

Multidisciplinary Computational Intelligence Techniques Applications in Business Engineering and Medicine

Multidisciplinary Computational Intelligence Techniques  Applications in Business  Engineering  and Medicine
Author: Ali, Shawkat
Publsiher: IGI Global
Total Pages: 365
Release: 2012-06-30
ISBN 10: 1466618310
ISBN 13: 9781466618312
Language: EN, FR, DE, ES & NL

Multidisciplinary Computational Intelligence Techniques Applications in Business Engineering and Medicine Book Review:

"This book explores the complex world of computational intelligence, which utilizes computational methodologies such as fuzzy logic systems, neural networks, and evolutionary computation for the purpose of managing and using data effectively to address complicated real-world problems"--

Trends in Deep Learning Methodologies

Trends in Deep Learning Methodologies
Author: Vincenzo Piuri,Sandeep Raj,Angelo Genovese,Rajshree Srivastava
Publsiher: Academic Press
Total Pages: 306
Release: 2020-12-01
ISBN 10: 0128232684
ISBN 13: 9780128232682
Language: EN, FR, DE, ES & NL

Trends in Deep Learning Methodologies Book Review:

Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems covers deep learning approaches such as neural networks, deep belief networks, recurrent neural networks, convolutional neural networks, deep auto-encoder, and deep generative networks, which have emerged as powerful computational models. Chapters elaborate on these models which have shown significant success in dealing with massive data for a large number of applications, given their capacity to extract complex hidden features and learn efficient representation in unsupervised settings. Chapters investigate deep learning-based algorithms in a variety of application, including biomedical and health informatics, computer vision, image processing, and more. In recent years, many powerful algorithms have been developed for matching patterns in data and making predictions about future events. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. Deep learning methods can deal with multiple levels of representation in which the system learns to abstract higher level representations of raw data. Earlier, it was a common requirement to have a domain expert to develop a specific model for each specific application, however, recent advancements in representation learning algorithms allow researchers across various subject domains to automatically learn the patterns and representation of the given data for the development of specific models. Provides insights into the theory, algorithms, implementation and the application of deep learning techniques Covers a wide range of applications of deep learning across smart healthcare and smart engineering Investigates the development of new models and how they can be exploited to find appropriate solutions

Intelligence Enabled Research

Intelligence Enabled Research
Author: Siddhartha Bhattacharyya,Sushmita Mitra,Paramartha Dutta
Publsiher: Springer Nature
Total Pages: 131
Release: 2020-01-04
ISBN 10: 9811520216
ISBN 13: 9789811520211
Language: EN, FR, DE, ES & NL

Intelligence Enabled Research Book Review:

This book gathers extended versions of papers presented at DoSIER 2019 (the First Doctoral Symposium on Intelligence Enabled Research, organized by RCC Institute of Information Technology, Kolkata, India). 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 will inspire future studies.

Trends in Computational Intelligence Security and Internet of Things

Trends in Computational Intelligence  Security and Internet of Things
Author: Nirmalya Kar
Publsiher: Springer Nature
Total Pages: 329
Release: 2021
ISBN 10: 3030667634
ISBN 13: 9783030667634
Language: EN, FR, DE, ES & NL

Trends in Computational Intelligence Security and Internet of Things Book Review:

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications
Author: Arun Kumar Sangaiah,Zhiyong Zhang,Michael Sheng
Publsiher: Academic Press
Total Pages: 362
Release: 2018-08-21
ISBN 10: 0128133279
ISBN 13: 9780128133279
Language: EN, FR, DE, ES & NL

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications Book Review:

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view on how techniques in CI can offer solutions in modeling, relationship pattern recognition, clustering and other problems in bioengineering. It is written for domain experts and developers who want to understand and explore the application of computational intelligence aspects (opportunities and challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such as smarter healthcare, homeland security, traffic control trading analysis and telecom, etc. Researchers and PhD students exploring the significance of data centric systems in the next paradigm of computing will find this book extremely useful. Presents a brief overview of computational intelligence paradigms and its significant role in application domains Illustrates the state-of-the-art and recent developments in the new theories and applications of CI approaches Familiarizes the reader with computational intelligence concepts and technologies that are successfully used in the implementation of cloud-centric multimedia services in massive data processing Provides new advances in the fields of CI for bio-engineering application

Intelligence Enabled Research

Intelligence Enabled Research
Author: Siddhartha Bhattacharyya,Sushmita Mitra,Paramartha Dutta
Publsiher: Springer Nature
Total Pages: 131
Release: 2020-01-04
ISBN 10: 9811520216
ISBN 13: 9789811520211
Language: EN, FR, DE, ES & NL

Intelligence Enabled Research Book Review:

This book gathers extended versions of papers presented at DoSIER 2019 (the First Doctoral Symposium on Intelligence Enabled Research, organized by RCC Institute of Information Technology, Kolkata, India). 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 will inspire future studies.

Advances in Computational Intelligence Systems

Advances in Computational Intelligence Systems
Author: Zhaojie Ju,Longzhi Yang,Chenguang Yang,Alexander Gegov,Dalin Zhou
Publsiher: Springer Nature
Total Pages: 556
Release: 2019-08-29
ISBN 10: 3030299333
ISBN 13: 9783030299330
Language: EN, FR, DE, ES & NL

Advances in Computational Intelligence Systems Book Review:

This book highlights the latest research in computational intelligence and its applications. It covers both conventional and trending approaches in individual chapters on Fuzzy Systems, Intelligence in Robotics, Deep Learning Approaches, Optimization and Classification, Detection, Inference and Prediction, Hybrid Methods, Emerging Intelligence, Intelligent Health Care, and Engineering Data- and Model-Driven Applications. All chapters are based on peer-reviewed contributions presented at the 19th Annual UK Workshop on Computational Intelligence, held in Portsmouth, UK, on 4–6 September 2019. The book offers a valuable reference guide for readers with expertise in computational intelligence or who are seeking a comprehensive and timely review of the latest trends in computational intelligence. Special emphasis is placed on novel methods and their use in a wide range of application areas, updating both academics and professionals on the state of the art.

Computational Intelligence and Sustainable Systems

Computational Intelligence and Sustainable Systems
Author: H. Anandakumar,R. Arulmurugan,Chow Chee Onn
Publsiher: Springer
Total Pages: 304
Release: 2018-12-14
ISBN 10: 3030026744
ISBN 13: 9783030026745
Language: EN, FR, DE, ES & NL

Computational Intelligence and Sustainable Systems Book Review:

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.

Recent Trends in Communication and Intelligent Systems

Recent Trends in Communication and Intelligent Systems
Author: Harish Sharma,Aditya Kumar Singh Pundir,Neha Yadav,Ajay Sharma,Swagatam Das
Publsiher: Springer Nature
Total Pages: 264
Release: 2020-01-17
ISBN 10: 9811504261
ISBN 13: 9789811504266
Language: EN, FR, DE, ES & NL

Recent Trends in Communication and Intelligent Systems Book Review:

The book gathers the best research papers presented at the International Conference on Recent Trends in Communication and Intelligent Systems (ICRTCIS 2019), organized by Rajasthan Technical University Kota, and Arya College of Engineering and IT, Jaipur, on 8–9 June 2019. It discusses the latest technologies in communication and intelligent systems, covering various areas of communication engineering, such as signal processing, VLSI design, embedded systems, wireless communications, and electronics and communications in general. Featuring work by leading researchers and technocrats, the book serves as a valuable reference resource for young researchers and academics as well as practitioners in industry.

Artificial Intelligence in Precision Health

Artificial Intelligence in Precision Health
Author: Debmalya Barh
Publsiher: Academic Press
Total Pages: 544
Release: 2020-03-04
ISBN 10: 0128173386
ISBN 13: 9780128173381
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Precision Health Book Review:

Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand artificial intelligence and its real time applications in precision medicine in practice. Written by experts from different countries and with diverse background, the content encompasses accessible knowledge easily understandable for non-specialists in computer sciences. The book discusses topics such as cognitive computing and emotional intelligence, big data analysis, clinical decision support systems, deep learning, personal omics, digital health, predictive models, prediction of epidemics, drug discovery, precision nutrition and fitness. Additionally, there is a section dedicated to discuss and analyze AI products related to precision healthcare already available. This book is a valuable source for clinicians, healthcare workers, and researchers from diverse areas of biomedical field who may or may not have computational background and want to learn more about the innovative field of artificial intelligence for precision health. Provides computational approaches used in artificial intelligence easily understandable for non-computer specialists Gives know-how and real successful cases of artificial intelligence approaches in predictive models, modeling disease physiology, and public health surveillance Discusses the applicability of AI on multiple areas, such as drug discovery, clinical trials, radiology, surgery, patient care and clinical decision support

Trends in Computational Social Choice

Trends in Computational Social Choice
Author: Ulle Endriss
Publsiher: Lulu.com
Total Pages: 329
Release: 2021
ISBN 10: 1326912097
ISBN 13: 9781326912093
Language: EN, FR, DE, ES & NL

Trends in Computational Social Choice Book Review:

Emerging Trends in Applications and Infrastructures for Computational Biology Bioinformatics and Systems Biology

Emerging Trends in Applications and Infrastructures for Computational Biology  Bioinformatics  and Systems Biology
Author: Hamid R Arabnia,Quoc Nam Tran
Publsiher: Morgan Kaufmann
Total Pages: 592
Release: 2016-03-25
ISBN 10: 0128042591
ISBN 13: 9780128042595
Language: EN, FR, DE, ES & NL

Emerging Trends in Applications and Infrastructures for Computational Biology Bioinformatics and Systems Biology Book Review:

Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications covers the latest trends in the field with special emphasis on their applications. The first part covers the major areas of computational biology, development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques for the study of biological and behavioral systems. The second part covers bioinformatics, an interdisciplinary field concerned with methods for storing, retrieving, organizing, and analyzing biological data. The book also explores the software tools used to generate useful biological knowledge. The third part, on systems biology, explores how to obtain, integrate, and analyze complex datasets from multiple experimental sources using interdisciplinary tools and techniques, with the final section focusing on big data and the collection of datasets so large and complex that it becomes difficult to process using conventional database management systems or traditional data processing applications. Explores all the latest advances in this fast-developing field from an applied perspective Provides the only coherent and comprehensive treatment of the subject available Covers the algorithm development, software design, and database applications that have been developed to foster research

Emerging Trends in Computational Biology Bioinformatics and Systems Biology

Emerging Trends in Computational Biology  Bioinformatics  and Systems Biology
Author: Hamid R Arabnia,Quoc Nam Tran
Publsiher: Morgan Kaufmann
Total Pages: 670
Release: 2015-08-11
ISBN 10: 0128026464
ISBN 13: 9780128026465
Language: EN, FR, DE, ES & NL

Emerging Trends in Computational Biology Bioinformatics and Systems Biology Book Review:

Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation techniques. • Discusses the development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques to the study of biological and behavioral systems, including applications in cancer research, computational intelligence and drug design, high-performance computing, and biology, as well as cloud and grid computing for the storage and access of big data sets. • Presents a systematic approach for storing, retrieving, organizing, and analyzing biological data using software tools with applications to general principles of DNA/RNA structure, bioinformatics and applications, genomes, protein structure, and modeling and classification, as well as microarray analysis. • Provides a systems biology perspective, including general guidelines and techniques for obtaining, integrating, and analyzing complex data sets from multiple experimental sources using computational tools and software. Topics covered include phenomics, genomics, epigenomics/epigenetics, metabolomics, cell cycle and checkpoint control, and systems biology and vaccination research. • Explains how to effectively harness the power of Big Data tools when data sets are so large and complex that it is difficult to process them using conventional database management systems or traditional data processing applications. Discusses the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological and behavioral systems. Presents a systematic approach for storing, retrieving, organizing and analyzing biological data using software tools with applications. Provides a systems biology perspective including general guidelines and techniques for obtaining, integrating and analyzing complex data sets from multiple experimental sources using computational tools and software.

Artificial Intelligence

Artificial Intelligence
Author: Sandeep Reddy
Publsiher: CRC Press
Total Pages: 336
Release: 2020-12-03
ISBN 10: 1000216861
ISBN 13: 9781000216868
Language: EN, FR, DE, ES & NL

Artificial Intelligence Book Review:

The rediscovery of the potential of artificial intelligence (AI) to improve healthcare delivery and patient outcomes has led to an increasing application of AI techniques such as deep learning, computer vision, natural language processing, and robotics in the healthcare domain. Many governments and health authorities have prioritized the application of AI in the delivery of healthcare. Also, technological giants and leading universities have established teams dedicated to the application of AI in medicine. These trends will mean an expanded role for AI in the provision of healthcare. Yet, there is an incomplete understanding of what AI is and its potential for use in healthcare. This book discusses the different types of AI applicable to healthcare and their application in medicine, population health, genomics, healthcare administration, and delivery. Readers, especially healthcare professionals and managers, will find the book useful to understand the different types of AI and how they are relevant to healthcare delivery. The book provides examples of AI being applied in medicine, population health, genomics, healthcare administration, and delivery and how they can commence applying AI in their health services. Researchers and technology professionals will also find the book useful to note current trends in the application of AI in healthcare and initiate their own projects to enable the application of AI in healthcare/medical domains.

WIPO Technology Trends 2019 Artificial Intelligence

WIPO Technology Trends 2019   Artificial Intelligence
Author: World Intellectual Property Organization
Publsiher: WIPO
Total Pages: 154
Release: 2019-01-21
ISBN 10: 9280530070
ISBN 13: 9789280530070
Language: EN, FR, DE, ES & NL

WIPO Technology Trends 2019 Artificial Intelligence Book Review:

The first report in a new flagship series, WIPO Technology Trends, aims to shed light on the trends in innovation in artificial intelligence since the field first developed in the 1950s.