Advances in Intelligent Automation and Soft Computing

Advances in Intelligent Automation and Soft Computing
Author: Xiaolong Li
Publsiher: Springer Nature
Total Pages: 1304
Release: 2021-07-26
Genre: Technology & Engineering
ISBN: 9783030810078

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This book presents select proceedings of the International Conference on Intelligent Automation and Soft Computing (IASC2021). Various topics covered in this book include AI algorithm, neural networks, pattern recognition, machine learning, blockchain technology, system engineering, computer vision and image processing, adaptive control and robotics, big data and data processing, networking and security. The book is a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, automation, and soft computing.

Advances in Soft Computing

Advances in Soft Computing
Author: Félix Castro,Sabino Miranda-Jiménez,Miguel González-Mendoza
Publsiher: Springer
Total Pages: 367
Release: 2019-01-01
Genre: Computers
ISBN: 3030028364

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The two-volume set LNAI 10632 and 10633 constitutes the proceedings of the 16th Mexican International Conference on Artificial Intelligence, MICAI 2017, held in Enseneda, Mexico, in October 2017. The total of 60 papers presented in these two volumes was carefully reviewed and selected from 203 submissions. The contributions were organized in the following topical sections: Part I: neural networks; evolutionary algorithms and optimization; hybrid intelligent systems and fuzzy logic; and machine learning and data mining. Part II: natural language processing and social networks; intelligent tutoring systems and educational applications; and image processing and pattern recognition.

Advances in Soft Computing

Advances in Soft Computing
Author: Jose M. Benitez,Oscar Cordon,Frank Hoffmann,Rajkumar Roy
Publsiher: Springer Science & Business Media
Total Pages: 385
Release: 2013-03-09
Genre: Computers
ISBN: 9781447137443

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Soft computing embraces methodologies for the development of intelligent systems that have been successfully applied to a large number of real-word problems. This collection of keynote papers, presented at the 7th On-line World Conference on Soft Computing in Engineering Design and Manufacturing, provides a comprehensive overview of recent advances in fuzzy, neural and evolutionary computing techniques and applications in engineering design and manufacturing. Features: - New and highly advanced research results at the forefront of soft computing in engineering design and manufacturing. - Keynote papers by world-renowned researchers in the field. - A good overview of current soft computing research around the world. A collection of methodologies aimed at researchers and professional design and manufacturing engineers who develop and apply intelligent systems in computer engineering.

Advances in Soft and Hard Computing

Advances in Soft and Hard Computing
Author: Jerzy Pejaś,Imed El Fray,Tomasz Hyla,Janusz Kacprzyk
Publsiher: Springer
Total Pages: 494
Release: 2018-12-12
Genre: Technology & Engineering
ISBN: 9783030033149

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The book presents a collection of carefully selected, peer-reviewed papers from the 21st International Multi-Conference on Advanced Computer Systems 2018 (ACS 2018), which was held in Międzyzdroje, Poland on September 24th-26th, 2018. The goal of the ACS 2018 was to bring artificial intelligence, software technologies, biometrics, IT security and distance learning researchers in contact with the ACS community, and to give ACS attendees the opportunity to exchange notes on the latest advances in these areas of interest. The primary focus of the book is on high-quality, original and unpublished research, case studies, and implementation experiences. All of the respective papers are of practical relevance to the construction, evaluation, application or operation of advanced systems. The topics addressed are divided into five major groups: artificial intelligence, software technologies, information technology security, multimedia systems, and information system design.

Hard and Soft Computing for Artificial Intelligence Multimedia and Security

Hard and Soft Computing for Artificial Intelligence  Multimedia and Security
Author: Shin-ya Kobayashi,Andrzej Piegat,Jerzy Pejaś,Imed El Fray,Janusz Kacprzyk
Publsiher: Springer
Total Pages: 368
Release: 2016-10-19
Genre: Technology & Engineering
ISBN: 9783319484297

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This book gathers the proceedings of the 20th International Conference on Advanced Computer Systems 2016, held in Międzyzdroje (Poland) on October 19–21, 2016. Addressing topics that include artificial intelligence (AI), software technologies, multimedia systems, IT security and design of information systems, the main purpose of the conference and the book is to create an opportunity to exchange significant insights on this area between science and business. In particular, this expertise concerns the use of hard and soft computational methods for artificial intelligence, image and data processing, and finally, the design of information and security systems. The book contains a collection of carefully selected, peer-reviewed papers, combining high-quality original unpublished research, case studies, and implementation experiences.

Soft Computing in Machine Learning

Soft Computing in Machine Learning
Author: Sang-Yong Rhee,Jooyoung Park,Atsushi Inoue
Publsiher: Springer
Total Pages: 117
Release: 2014-07-08
Genre: Technology & Engineering
ISBN: 9783319055336

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As users or consumers are now demanding smarter devices, intelligent systems are revolutionizing by utilizing machine learning. Machine learning as part of intelligent systems is already one of the most critical components in everyday tools ranging from search engines and credit card fraud detection to stock market analysis. You can train machines to perform some things, so that they can automatically detect, diagnose, and solve a variety of problems. The intelligent systems have made rapid progress in developing the state of the art in machine learning based on smart and deep perception. Using machine learning, the intelligent systems make widely applications in automated speech recognition, natural language processing, medical diagnosis, bioinformatics, and robot locomotion. This book aims at introducing how to treat a substantial amount of data, to teach machines and to improve decision making models. And this book specializes in the developments of advanced intelligent systems through machine learning. It consists of 11 contributions that features illumination change detection, generator of electronic educational publications, intelligent call triage system, recognition of rocks at uranium deposits, graphics processing units, mathematical model of hit phenomena, selection and mutation in genetic algorithm, hands and arms motion estimation, application of wavelet network, Kanizsa triangle illusion, and support vector machine regression. Also, it describes how to apply the machine learning for the intelligent systems. This edition is published in original, peer reviewed contributions covering from initial design to final prototypes and verifications.

Advances in Machine Learning and Computational Intelligence

Advances in Machine Learning and Computational Intelligence
Author: Srikanta Patnaik,Xin-She Yang,Ishwar K. Sethi
Publsiher: Springer Nature
Total Pages: 878
Release: 2020-07-25
Genre: Technology & Engineering
ISBN: 9789811552434

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This book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence (ICMLCI-2019), jointly organized by Kunming University of Science and Technology and the Interscience Research Network, Bhubaneswar, India, from April 6 to 7, 2019. Addressing virtually all aspects of intelligent systems, soft computing and machine learning, the topics covered include: prediction; data mining; information retrieval; game playing; robotics; learning methods; pattern visualization; automated knowledge acquisition; fuzzy, stochastic and probabilistic computing; neural computing; big data; social networks and applications of soft computing in various areas.

Advances in Artificial Intelligence and Soft Computing

Advances in Artificial Intelligence and Soft Computing
Author: Grigori Sidorov,Sofía N. Galicia-Haro
Publsiher: Springer
Total Pages: 575
Release: 2015-11-19
Genre: Computers
ISBN: 9783319270609

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The two volume set LNAI 9413 + LNAI 9414 constitutes the proceedings of the 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, held in Cuernavaca, Morelos, Mexico, in October 2015. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 297 submissions. They were organized in topical sections named: natural language processing; logic and multi-agent systems; bioinspired algorithms; neural networks; evolutionary algorithms; fuzzy logic; machine learning and data mining; natural language processing applications; educational applications; biomedical applications; image processing and computer vision; search and optimization; forecasting; and intelligent applications.

Advances in Artificial Intelligence and Applied Cognitive Computing

Advances in Artificial Intelligence and Applied Cognitive Computing
Author: Hamid R. Arabnia,Ken Ferens,David de la Fuente,Elena B. Kozerenko,José Angel Olivas Varela,Fernando G. Tinetti
Publsiher: Springer Nature
Total Pages: 1184
Release: 2021
Genre: Artificial intelligence
ISBN: 9783030702960

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The book presents the proceedings of two conferences: The 22nd International Conference on Artificial Intelligence (ICAI'20) and The 4th International Conference on Applied Cognitive Computing (ACC'20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Topics include: deep learning; neural networks; brain models; cognitive science; natural language processing; fuzzy logic and soft computing (ICAI) and novel computationally intelligent algorithms; bio inspired cognitive algorithms; modeling human brain processing systems (ACC); and more. Authors include academics, researchers, and professionals. Presents the proceedings of two conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks: artificial intelligence and applied cognitive computing; Features papers from the 22nd International Conference on AI (ICAI'20) and the 4th International Conference on Applied Cognitive Computing (ACC'20).

Advances in Artificial Intelligence and Data Engineering

Advances in Artificial Intelligence and Data Engineering
Author: Niranjan N. Chiplunkar,Takanori Fukao
Publsiher: Springer Nature
Total Pages: 1475
Release: 2020-08-13
Genre: Technology & Engineering
ISBN: 9789811535147

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This book presents selected peer-reviewed papers from the International Conference on Artificial Intelligence and Data Engineering (AIDE 2019). The topics covered are broadly divided into four groups: artificial intelligence, machine vision and robotics, ambient intelligence, and data engineering. The book discusses recent technological advances in the emerging fields of artificial intelligence, machine learning, robotics, virtual reality, augmented reality, bioinformatics, intelligent systems, cognitive systems, computational intelligence, neural networks, evolutionary computation, speech processing, Internet of Things, big data challenges, data mining, information retrieval, and natural language processing. Given its scope, this book can be useful for students, researchers, and professionals interested in the growing applications of artificial intelligence and data engineering.

Advances on Smart and Soft Computing

Advances on Smart and Soft Computing
Author: Faisal Saeed
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
Genre: Electronic Book
ISBN: 9789811655593

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Intelligent Systems

Intelligent Systems
Author: Chiranji Lal Chowdhary
Publsiher: CRC Press
Total Pages: 294
Release: 2020-01-06
Genre: Business & Economics
ISBN: 9780429560040

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This volume helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used to focus on data analytics and image processing to develop good intelligent systems. To this end, readers of this volume will find quality research that presents the current trends, advanced methods, and hybridized techniques relating to data analytics and intelligent systems. The book also features case studies related to medical diagnosis with the use of image processing and soft computing algorithms in particular models. Providing extensive coverage of biometric systems, soft computing, image processing, artificial intelligence, and data analytics, the chapter authors discuss the latest research issues, present solutions to research problems, and look at comparative analysis with earlier results. Topics include some of the most important challenges and discoveries in intelligent systems today, such as computer vision concepts and image identification, data analysis and computational paradigms, deep learning techniques, face and speaker recognition systems, and more.

Machine Intelligence and Soft Computing

Machine Intelligence and Soft Computing
Author: Debnath Bhattacharyya,N. Thirupathi Rao
Publsiher: Springer Nature
Total Pages: 504
Release: 2021-01-20
Genre: Technology & Engineering
ISBN: 9789811595165

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This book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2020), held jointly by Vignan’s Institute of Information Technology, Visakhapatnam, India and VFSTR Deemed to be University, Guntur, AP, India during 03-04 September 2020. Topics covered in the book include the artificial neural networks and fuzzy logic, cloud computing, evolutionary algorithms and computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing applications in actuarial science, soft computing for database deadlock resolution, soft computing methods in engineering, and support vector machine.

Fuzzy Logic and Soft Computing

Fuzzy Logic and Soft Computing
Author: Bernadette Bouchon-Meunier,Ronald R Yager,Lotfi A Zadeh
Publsiher: World Scientific
Total Pages: 508
Release: 1995-09-15
Genre: Computers
ISBN: 9789814500081

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Soft computing is a new, emerging discipline rooted in a group of technologies that aim to exploit the tolerance for imprecision and uncertainty in achieving solutions to complex problems. The principal components of soft computing are fuzzy logic, neurocomputing, genetic algorithms and probabilistic reasoning. This volume is a collection of up-to-date articles giving a snapshot of the current state of the field. It covers the whole expanse, from theoretical foundations to applications. The contributors are among the world leaders in the field. Contents:Fuzzy Logic and Genetic AlgorithmsLearningFuzzy and Hybrid SystemsDecision and Aggregation TechniquesFuzzy Logic in DatabasesFoundations of Fuzzy LogicApplications of Fuzzy Sets Readership: Researchers and computer scientists. keywords:

Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering

Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering
Author: Sisodia, Dilip Singh,Pachori, Ram Bilas,Garg, Lalit
Publsiher: IGI Global
Total Pages: 420
Release: 2020-02-28
Genre: Medical
ISBN: 9781799821229

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Artificial intelligence (AI) is revolutionizing every aspect of human life including human healthcare and wellbeing management. Various types of intelligent healthcare engineering applications have been created that help to address patient healthcare and outcomes such as identifying diseases and gathering patient information. Advancements in AI applications in healthcare continue to be sought to aid rapid disease detection, health monitoring, and prescription drug tracking. TheHandbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering is an essential scholarly publication that provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions. Featuring a wide range of topics such as genetic algorithms, mobile robotics, and neuroinformatics, this book is ideal for engineers, technology developers, IT consultants, hospital administrators, academicians, healthcare professionals, practitioners, researchers, and students.