MICAI 2009: Advances in Artificial Intelligence

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Publisher : Springer Science & Business Media
ISBN 13 : 3642052576
Total Pages : 759 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis MICAI 2009: Advances in Artificial Intelligence by : Arturo Hernández Aguirre

Download or read book MICAI 2009: Advances in Artificial Intelligence written by Arturo Hernández Aguirre and published by Springer Science & Business Media. This book was released on 2009-10-26 with total page 759 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th Mexican International Conference on Artificial Intelligence, MICAI 2009, held in Guanajuato, Mexico, in November 2009. The 63 revised full papers presented together with one invited talk were carefully reviewed and selected from 215 submissions. The papers are organized in topical sections on logic and reasoning, ontologies, knowledge management and knowledge-based systems, uncertainty and probabilistic reasoning, natural language processing, data mining, machine learning, pattern recognition, computer vision and image processing, robotics, planning and scheduling, fuzzy logic, neural networks, intelligent tutoring systems, bioinformatics and medical applications, hybrid intelligent systems and evolutionary algorithms.

Soft Computing for Hybrid Intelligent Systems

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Publisher : Springer
ISBN 13 : 354070812X
Total Pages : 448 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Soft Computing for Hybrid Intelligent Systems by : Oscar Castillo

Download or read book Soft Computing for Hybrid Intelligent Systems written by Oscar Castillo and published by Springer. This book was released on 2008-09-10 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: We describe in this book, new methods and applications of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary al- rithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of intelligent control, which are basically papers that use hybrid systems to solve particular problems of control. The second part contains papers with the main theme of pattern recognition, which are basically papers using soft computing techniques for achieving pattern recognition in different applications. The third part contains papers with the themes of intelligent agents and social systems, which are papers that apply the ideas of agents and social behavior to solve real-world problems. The fourth part contains papers that deal with the hardware implementation of intelligent systems for solving particular problems. The fifth part contains papers that deal with modeling, simulation and optimization for real-world applications.

Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition

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Publisher : Springer Science & Business Media
ISBN 13 : 3642045154
Total Pages : 258 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition by : Patricia Melin

Download or read book Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition written by Patricia Melin and published by Springer Science & Business Media. This book was released on 2009-09-30 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems. The articles are divided into four main parts. The first one consists of papers that propose new fuzzy and bio-inspired models to solve general problems. The second part deals with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques. The third part contains papers that apply hybrid intelligent systems to the problem of time series analysis and prediction, while the fourth one shows papers dealing with bio-inspired models in optimization and robotics applications. An edited book in which both theoretical and application aspects are covered.

Soft Computing for Recognition based on Biometrics

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Publisher : Springer
ISBN 13 : 3642151116
Total Pages : 456 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Soft Computing for Recognition based on Biometrics by : Patricia Melin

Download or read book Soft Computing for Recognition based on Biometrics written by Patricia Melin and published by Springer. This book was released on 2010-09-30 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: We describe in this book, bio-inspired models and applications of hybrid intel- gent systems using soft computing techniques for image analysis and pattern r- ognition based on biometrics and other information sources. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of classification methods and applications, which are basically papers that propose new models for classification to solve general pr- lems and applications. The second part contains papers with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques, like modular neural networks, for achieving pattern r- ognition based on biometric measures. The third part contains papers with the theme of bio-inspired optimization methods and applications to diverse problems. The fourth part contains papers that deal with general theory and algorithms of bio-inspired methods, like neural networks and evolutionary algorithms. The fifth part contains papers on computer vision applications of soft computing methods. In the part of classification methods and applications there are 5 papers that - scribe different contributions on fuzzy logic and bio-inspired models with appli- tion in classification for medical images and other data.

Recent Advances on Hybrid Intelligent Systems

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Publisher : Springer
ISBN 13 : 3642330215
Total Pages : 572 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Recent Advances on Hybrid Intelligent Systems by : Oscar Castillo

Download or read book Recent Advances on Hybrid Intelligent Systems written by Oscar Castillo and published by Springer. This book was released on 2012-09-14 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances on hybrid intelligent systems using soft computing techniques for intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain groups of papers around a similar subject. The first part consists of papers with the main theme of hybrid intelligent systems for control and robotics, which are basically state of the art papers that propose new models and concepts, which can be the basis for achieving intelligent control and mobile robotics. The second part contains papers with the main theme of hybrid intelligent systems for pattern recognition and time series prediction, which are basically papers using nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for achieving efficient pattern recognition or time series prediction. The third part contains papers with the theme of bio-inspired and genetic optimization methods, which basically consider the proposal of new methods and applications of bio-inspired optimization to solve complex optimization of real problems. The fourth part contains papers that deal with the application of intelligent optimization techniques in real world problems in scheduling, planning and manufacturing. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.

Ad Hoc Networks

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Publisher : Springer
ISBN 13 : 3642179940
Total Pages : 542 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Ad Hoc Networks by : Jun Zhi-zhong

Download or read book Ad Hoc Networks written by Jun Zhi-zhong and published by Springer. This book was released on 2010-11-30 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ad hoc networks, which include a variety of autonomous networks for specific purposes, promise a broad range of civilian, commercial, and military applications. These networks were originally envisioned as collections of autonomous mobile or stationary nodes that dynamically auto-configure themselves into a wireless network without relying on any existing network infrastructure or centralized administration. With the significant advances in the last decade, the concept of ad hoc networks now covers an even broader scope, referring to the many types of autonomous wireless networks designed and deployed for a specific task or function, such as wireless sensor networks, vehicular networks, home networks, and so on. In contrast to the traditional wireless networking paradigm, such networks are all characterized by sporadic connections, highly error-prone communications, distributed autonomous operation, and fragile multi-hop relay paths. The new wireless networking paradigm necessitates reexamination of many established concepts and protocols, and calls for developing a new understanding of fundamental problems such as interference, mobility, connectivity, capacity, and security, among others. While it is essential to advance theoretical research on fundamental and practical research on efficient policies, algorithms and protocols, it is also critical to develop useful applications, experimental prototypes, and real-world deployments to achieve an immediate impact on society for the success of this wireless networking paradigm.

Views on Fuzzy Sets and Systems from Different Perspectives

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Publisher : Springer
ISBN 13 : 3540938028
Total Pages : 580 pages
Book Rating : 4.5/5 (49 download)

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Book Synopsis Views on Fuzzy Sets and Systems from Different Perspectives by : Rudolf Seising

Download or read book Views on Fuzzy Sets and Systems from Different Perspectives written by Rudolf Seising and published by Springer. This book was released on 2009-03-12 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: In our new century, the theory of fuzzy sets and systems is in the core of "Soft Computing" and "Computational Intelligence" and has become a normal scientific theory in the fields of exact sciences and engineering and it is well on its way to becoming normal in the soft sciences as well. This book is a collection of the views of numerous scholars in different parts of the world who are involved in various research projects concerning fuzziness in science, technology, economic systems, social sciences, logics and philosophy. This volume demonstrates that there are many different views of the theory of fuzzy sets and systems and of their interpretation and applications in diverse areas of our cultural and social life.

Computing Statistics under Interval and Fuzzy Uncertainty

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Publisher : Springer Science & Business Media
ISBN 13 : 3642249043
Total Pages : 412 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Computing Statistics under Interval and Fuzzy Uncertainty by : Hung T. Nguyen

Download or read book Computing Statistics under Interval and Fuzzy Uncertainty written by Hung T. Nguyen and published by Springer Science & Business Media. This book was released on 2011-11-03 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: In many practical situations, we are interested in statistics characterizing a population of objects: e.g. in the mean height of people from a certain area. Most algorithms for estimating such statistics assume that the sample values are exact. In practice, sample values come from measurements, and measurements are never absolutely accurate. Sometimes, we know the exact probability distribution of the measurement inaccuracy, but often, we only know the upper bound on this inaccuracy. In this case, we have interval uncertainty: e.g. if the measured value is 1.0, and inaccuracy is bounded by 0.1, then the actual (unknown) value of the quantity can be anywhere between 1.0 - 0.1 = 0.9 and 1.0 + 0.1 = 1.1. In other cases, the values are expert estimates, and we only have fuzzy information about the estimation inaccuracy. This book shows how to compute statistics under such interval and fuzzy uncertainty. The resulting methods are applied to computer science (optimal scheduling of different processors), to information technology (maintaining privacy), to computer engineering (design of computer chips), and to data processing in geosciences, radar imaging, and structural mechanics.

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making

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Publisher : Springer
ISBN 13 : 3030237567
Total Pages : 1392 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making by : Cengiz Kahraman

Download or read book Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making written by Cengiz Kahraman and published by Springer. This book was released on 2019-07-05 with total page 1392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.

Renewable Power for Sustainable Growth

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Publisher : Springer Nature
ISBN 13 : 9813340800
Total Pages : 796 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Renewable Power for Sustainable Growth by : Atif Iqbal

Download or read book Renewable Power for Sustainable Growth written by Atif Iqbal and published by Springer Nature. This book was released on 2021-04-20 with total page 796 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of papers presented at the International Conference on Renewable Power (ICRP 2020), held during 13–14 July 2020 in Rajouri, Jammu, India. The book covers different topics of renewable energy sources in modern power systems. The book focusses on smart grid technologies and applications, renewable power systems including solar PV, solar thermal, wind, power generation, transmission and distribution, transportation electrification and automotive technologies, power electronics and applications in renewable power system, energy management and control system, energy storage in modern power system, active distribution network, artificial intelligence in renewable power systems, and cyber-physical systems and Internet of things in smart grid and renewable power.

International Conference on Innovative Computing and Communications

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Publisher : Springer Nature
ISBN 13 : 9811928215
Total Pages : 793 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis International Conference on Innovative Computing and Communications by : Deepak Gupta

Download or read book International Conference on Innovative Computing and Communications written by Deepak Gupta and published by Springer Nature. This book was released on 2022-09-26 with total page 793 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes high-quality research papers presented at the Fifth International Conference on Innovative Computing and Communication (ICICC 2022), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 19–20, 2022. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.

Intelligent Systems in Operations: Methods, Models and Applications in the Supply Chain

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Publisher : IGI Global
ISBN 13 : 161520606X
Total Pages : 386 pages
Book Rating : 4.6/5 (152 download)

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Book Synopsis Intelligent Systems in Operations: Methods, Models and Applications in the Supply Chain by : Nag, Barin

Download or read book Intelligent Systems in Operations: Methods, Models and Applications in the Supply Chain written by Nag, Barin and published by IGI Global. This book was released on 2010-03-31 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides knowledge and insights on present and future AI applications in Operations Management presenting tools and decisions in terms of theoretical and empirical models, methods and proposed applications"--Provided by publisher.

New Concepts and Applications in Soft Computing

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Publisher : Springer
ISBN 13 : 3642289592
Total Pages : 222 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis New Concepts and Applications in Soft Computing by : Valentina Emilia Balas

Download or read book New Concepts and Applications in Soft Computing written by Valentina Emilia Balas and published by Springer. This book was released on 2012-07-20 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a sample of research on the innovative theory and applications of soft computing paradigms. The idea of Soft Computing was initiated in 1981 when Professor Zadeh published his first paper on soft data analysis and constantly evolved ever since. Professor Zadeh defined Soft Computing as the fusion of the fields of fuzzy logic (FL), neural network theory (NN) and probabilistic reasoning (PR), with the latter subsuming belief networks, evolutionary computing including DNA computing, chaos theory and parts of learning theory into one multidisciplinary system. As Zadeh said the essence of soft computing is that unlike the traditional, hard computing, soft computing is aimed at an accommodation with the pervasive imprecision of the real world. Thus, the guiding principle of soft computing is to exploit the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness, low solution cost and better rapport with reality. In the final analysis, the role model for soft computing is the human mind. We hope that the reader will share our excitement and find our volume both useful and inspiring.

Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence

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Publisher : Springer
ISBN 13 : 3642040209
Total Pages : 1120 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence by : De-Shuang Huang

Download or read book Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence written by De-Shuang Huang and published by Springer. This book was released on 2009-09-19 with total page 1120 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring - gether researchers and practitioners from both academia and industry to share ideas, problems, and solutions related to the multifaceted aspects of intelligent computing. ICIC 2009, held in Ulsan, Korea, September 16-19, 2009, constituted the 5th - ternational Conference on Intelligent Computing. It built upon the success of ICIC 2008, ICIC 2007, ICIC 2006, and ICIC 2005 held in Shanghai, Qingdao, Kunming, and Hefei, China, 2008, 2007, 2006, and 2005, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the p- ture of contemporary intelligent computing techniques as an integral concept that hi- lights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Emerging Intelligent Computing Technology and Applications.” Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.

Data Mining and Big Data

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Publisher : Springer
ISBN 13 : 3319618458
Total Pages : 544 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Data Mining and Big Data by : Ying Tan

Download or read book Data Mining and Big Data written by Ying Tan and published by Springer. This book was released on 2017-07-18 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Conference on Data Mining and Big Data, DMBD 2017, held in Fukuoka, Japan, in July/August 2017. The 53 papers presented in this volume were carefully reviewed and selected from 96 submissions. They were organized in topical sections named: association analysis; clustering; prediction; classification; schedule and sequence analysis; big data; data analysis; data mining; text mining; deep learning; high performance computing; knowledge base and its framework; and fuzzy control.

Handbook of Critical Incident Analysis

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Publisher : Routledge
ISBN 13 : 1317469127
Total Pages : 384 pages
Book Rating : 4.3/5 (174 download)

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Book Synopsis Handbook of Critical Incident Analysis by : Richard W Schwester

Download or read book Handbook of Critical Incident Analysis written by Richard W Schwester and published by Routledge. This book was released on 2014-12-18 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Critical incidents all too often explode onto the social conscious and challenge our sense of security. This comprehensive handbook brings together a range of experts who provide a foundation for the field of critical incident analysis by examining specific incidents9/11, the Virginia Tech massacre, the H1N1 pandemic, the BP oil spill, and more--through various methodological and disciplinary lenses.

Perceptual Computing

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Publisher : John Wiley & Sons
ISBN 13 : 0470599634
Total Pages : 338 pages
Book Rating : 4.4/5 (75 download)

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Book Synopsis Perceptual Computing by : Jerry Mendel

Download or read book Perceptual Computing written by Jerry Mendel and published by John Wiley & Sons. This book was released on 2010-07-16 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains for the first time how "computing with words" can aid in making subjective judgments Lotfi Zadeh, the father of fuzzy logic, coined the phrase "computing with words" (CWW) to describe a methodology in which the objects of computation are words and propositions drawn from a natural language. Perceptual Computing explains how to implement CWW to aid in the important area of making subjective judgments, using a methodology that leads to an interactive device—a "Perceptual Computer"—that propagates random and linguistic uncertainties into the subjective judgment in a way that can be modeled and observed by the judgment maker. This book focuses on the three components of a Perceptual Computer—encoder, CWW engines, and decoder—and then provides detailed applications for each. It uses interval type-2 fuzzy sets (IT2 FSs) and fuzzy logic as the mathematical vehicle for perceptual computing, because such fuzzy sets can model first-order linguistic uncertainties whereas the usual kind of fuzzy sets cannot. Drawing upon the work on subjective judgments that Jerry Mendel and his students completed over the past decade, Perceptual Computing shows readers how to: Map word-data with its inherent uncertainties into an IT2 FS that captures these uncertainties Use uncertainty measures to quantify linguistic uncertainties Compare IT2 FSs by using similarity and rank Compute the subsethood of one IT2 FS in another such set Aggregate disparate data, ranging from numbers to uniformly weighted intervals to nonuniformly weighted intervals to words Aggregate multiple-fired IF-THEN rules so that the integrity of word IT2 FS models is preserved Free MATLAB-based software is also available online so readers can apply the methodology of perceptual computing immediately, and even try to improve upon it. Perceptual Computing is an important go-to for researchers and students in the fields of artificial intelligence and fuzzy logic, as well as for operations researchers, decision makers, psychologists, computer scientists, and computational intelligence experts.