Intelligent Systems

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Publisher : CRC Press
ISBN 13 : 143980284X
Total Pages : 610 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Intelligent Systems by : Bogdan M. Wilamowski

Download or read book Intelligent Systems written by Bogdan M. Wilamowski and published by CRC Press. This book was released on 2018-10-03 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Industrial Electronics Handbook, Second Edition combines traditional and newer, more specialized knowledge that will help industrial electronics engineers develop practical solutions for the design and implementation of high-power applications. Embracing the broad technological scope of the field, this collection explores fundamental areas, including analog and digital circuits, electronics, electromagnetic machines, signal processing, and industrial control and communications systems. It also facilitates the use of intelligent systems—such as neural networks, fuzzy systems, and evolutionary methods—in terms of a hierarchical structure that makes factory control and supervision more efficient by addressing the needs of all production components. Enhancing its value, this fully updated collection presents research and global trends as published in the IEEE Transactions on Industrial Electronics Journal, one of the largest and most respected publications in the field. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have made substantial contributions to the solution of very complex problems. As a result, the field of computational intelligence has branched out in several directions. For instance, artificial neural networks can learn how to classify patterns, such as images or sequences of events, and effectively model complex nonlinear systems. Simple and easy to implement, fuzzy systems can be applied to successful modeling and system control. Illustrating how these and other tools help engineers model nonlinear system behavior, determine and evaluate system parameters, and ensure overall system control, Intelligent Systems: Addresses various aspects of neural networks and fuzzy systems Focuses on system optimization, covering new techniques such as evolutionary methods, swarm, and ant colony optimizations Discusses several applications that deal with methods of computational intelligence Other volumes in the set: Fundamentals of Industrial Electronics Power Electronics and Motor Drives Control and Mechatronics Industrial Communication Systems

The Industrial Electronics Handbook - Five Volume Set

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Publisher : CRC Press
ISBN 13 : 0429584776
Total Pages : 6257 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis The Industrial Electronics Handbook - Five Volume Set by : Bogdan M. Wilamowski

Download or read book The Industrial Electronics Handbook - Five Volume Set written by Bogdan M. Wilamowski and published by CRC Press. This book was released on 2011-03-04 with total page 6257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industrial electronics systems govern so many different functions that vary in complexity-from the operation of relatively simple applications, such as electric motors, to that of more complicated machines and systems, including robots and entire fabrication processes. The Industrial Electronics Handbook, Second Edition combines traditional and new

Advances in Artificial Intelligence

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Publisher : Springer Science & Business Media
ISBN 13 : 3642253237
Total Pages : 618 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advances in Artificial Intelligence by : Ildar Batyrshin

Download or read book Advances in Artificial Intelligence written by Ildar Batyrshin and published by Springer Science & Business Media. This book was released on 2011-11-14 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 7094 and LNAI 7095 constitutes the refereed proceedings of the 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. The 96 revised papers presented were carefully reviewed and selected from numerous submissions. The first volume includes 50 papers representing the current main topics of interest for the AI community and their applications. The papers are organized in the following topical sections: automated reasoning and multi-agent systems; problem solving and machine learning; natural language processing; robotics, planning and scheduling; and medical applications of artificial intelligence.

Advances in Machine Learning and Data Mining for Astronomy

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Publisher : CRC Press
ISBN 13 : 143984173X
Total Pages : 746 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Advances in Machine Learning and Data Mining for Astronomy by : Michael J. Way

Download or read book Advances in Machine Learning and Data Mining for Astronomy written by Michael J. Way and published by CRC Press. This book was released on 2012-03-29 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines, the material discussed in this text transcends traditional boundaries between various areas in the sciences and computer science. The book’s introductory part provides context to issues in the astronomical sciences that are also important to health, social, and physical sciences, particularly probabilistic and statistical aspects of classification and cluster analysis. The next part describes a number of astrophysics case studies that leverage a range of machine learning and data mining technologies. In the last part, developers of algorithms and practitioners of machine learning and data mining show how these tools and techniques are used in astronomical applications. With contributions from leading astronomers and computer scientists, this book is a practical guide to many of the most important developments in machine learning, data mining, and statistics. It explores how these advances can solve current and future problems in astronomy and looks at how they could lead to the creation of entirely new algorithms within the data mining community.

Machine Learning and Knowledge Discovery in Databases: Research Track

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Publisher : Springer Nature
ISBN 13 : 3031434242
Total Pages : 506 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases: Research Track by : Danai Koutra

Download or read book Machine Learning and Knowledge Discovery in Databases: Research Track written by Danai Koutra and published by Springer Nature. This book was released on 2023-09-17 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: ​Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: ​Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part IV: ​Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part V: ​Robustness; Time Series; Transfer and Multitask Learning. Part VI: ​Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. ​Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.

Support Vector Machines for Pattern Classification

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Publisher : Springer Science & Business Media
ISBN 13 : 9781852339296
Total Pages : 362 pages
Book Rating : 4.3/5 (392 download)

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Book Synopsis Support Vector Machines for Pattern Classification by : Shigeo Abe

Download or read book Support Vector Machines for Pattern Classification written by Shigeo Abe and published by Springer Science & Business Media. This book was released on 2005-07-29 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Support vector machines (SVMs), were originally formulated for two-class classification problems, and have been accepted as a powerful tool for developing pattern classification and function approximations systems. This book provides a unique perspective of the state of the art in SVMs by taking the only approach that focuses on classification rather than covering the theoretical aspects. The book clarifies the characteristics of two-class SVMs through their extensive analysis, presents various useful architectures for multiclass classification and function approximation problems, and discusses kernel methods for improving generalization ability of conventional neural networks and fuzzy systems. Ample illustrations, examples and computer experiments are included to help readers understand the new ideas and their usefulness. This book supplies a comprehensive resource for the use of SVMs in pattern classification and will be invaluable reading for researchers, developers & students in academia and industry.

Decision Making

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Publisher : World Scientific
ISBN 13 : 9814365815
Total Pages : 207 pages
Book Rating : 4.8/5 (143 download)

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Book Synopsis Decision Making by : Paolo Grigolini

Download or read book Decision Making written by Paolo Grigolini and published by World Scientific. This book was released on 2011 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This invaluable book captures the proceedings of a workshop that brought together a group of distinguished scientists from a variety of disciplines to discuss how networking influences decision making. The individual lectures interconnect psychological testing, the modeling of neuron networks and brain dynamics to the transport of information within and between complex networks. Of particular importance was the introduction of a new principle that governs how complex networks talk to one another ? the Principle of Complexity Management (PCM). PCM establishes that the transfer of information from a stimulating complex network to a responding complex network is determined by how the complexity indices of the two networks are related. The response runs the gamut from being independent of the perturbation to being completely dominated by it, depending on the complexity mismatch.

Algorithms and Architectures for Parallel Processing

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Publisher : Springer Nature
ISBN 13 : 9819707986
Total Pages : 524 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Algorithms and Architectures for Parallel Processing by : Zahir Tari

Download or read book Algorithms and Architectures for Parallel Processing written by Zahir Tari and published by Springer Nature. This book was released on with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Future Connected Technologies

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Publisher : CRC Press
ISBN 13 : 1000918955
Total Pages : 249 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Future Connected Technologies by : Maanak Gupta

Download or read book Future Connected Technologies written by Maanak Gupta and published by CRC Press. This book was released on 2023-07-17 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main aim of the book is to familiarize readers with the concepts of convergence of different connected and smart domains that are assisted by Cloud Computing, core technologies behind Cloud Computing, driving factors towards Cloud Computing, and security challenges and proposed solutions in Cloud Computing. The book covers not only the cloud, but also other pertinent topics such as Machine Learning, Deep Learning, IoT and Fog/Edge Computing. The last section of the book mainly focuses on the security aspects of connected technologies. The highpoints of the book is that it reviews the relation and combination of the mentioned topics, which together creates a better understanding about almost every aspect of Cloud Computing & related technologies.

Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005

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Publisher : Springer
ISBN 13 : 3540287566
Total Pages : 1051 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005 by : Wlodzislaw Duch

Download or read book Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005 written by Wlodzislaw Duch and published by Springer. This book was released on 2005-08-25 with total page 1051 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the first part of the two-volume proceedings of the International C- ference on Artificial Neural Networks (ICANN 2005), held on September 11–15, 2005 in Warsaw, Poland, with several accompanying workshops held on September 15, 2005 at the Nicolaus Copernicus University, Toru , Poland. The ICANN conference is an annual meeting organized by the European Neural Network Society in cooperation with the International Neural Network Society, the Japanese Neural Network Society, and the IEEE Computational Intelligence Society. It is the premier European event covering all topics concerned with neural networks and related areas. The ICANN series of conferences was initiated in 1991 and soon became the major European gathering for experts in those fields. In 2005 the ICANN conference was organized by the Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, and the Nicolaus Copernicus Univ- sity, Toru , Poland. From over 600 papers submitted to the regular sessions and some 10 special c- ference sessions, the International Program Committee selected – after a thorough peer-review process – about 270 papers for publication. The large number of papers accepted is certainly a proof of the vitality and attractiveness of the field of artificial neural networks, but it also shows a strong interest in the ICANN conferences.

Machine Learning and Knowledge Discovery in Databases

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Publisher : Springer
ISBN 13 : 3662448513
Total Pages : 746 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Toon Calders

Download or read book Machine Learning and Knowledge Discovery in Databases written by Toon Calders and published by Springer. This book was released on 2014-09-01 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases.

Information Science and Applications 2017

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Publisher : Springer
ISBN 13 : 9811041547
Total Pages : 840 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Information Science and Applications 2017 by : Kuinam Kim

Download or read book Information Science and Applications 2017 written by Kuinam Kim and published by Springer. This book was released on 2017-03-16 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains selected papers from the 8th International Conference on Information Science and Applications (ICISA 2017) and provides a snapshot of the latest issues encountered in technical convergence and convergences of security technology. It explores how information science is core to most current research, industrial and commercial activities and consists of contributions covering topics including Ubiquitous Computing, Networks and Information Systems, Multimedia and Visualization, Middleware and Operating Systems, Security and Privacy, Data Mining and Artificial Intelligence, Software Engineering, and Web Technology. The proceedings introduce the most recent information technology and ideas, applications and problems related to technology convergence, illustrated through case studies, and reviews converging existing security techniques. Through this volume, readers will gain an understanding of the current state-of-the-art information strategies and technologies of convergence security.The intended readerships are researchers in academia, industry and other research institutes focusing on information science and technology.

Machine Learning and Knowledge Discovery in Databases

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Publisher : Springer
ISBN 13 : 3030109283
Total Pages : 883 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : Michele Berlingerio

Download or read book Machine Learning and Knowledge Discovery in Databases written by Michele Berlingerio and published by Springer. This book was released on 2019-01-22 with total page 883 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume proceedings LNAI 11051 – 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track. The contributions were organized in topical sections named as follows: Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learningensemble methods; and evaluation. Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning. Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.

Big Data – BigData 2023

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Publisher : Springer Nature
ISBN 13 : 3031447255
Total Pages : 239 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Big Data – BigData 2023 by : Shunli Zhang

Download or read book Big Data – BigData 2023 written by Shunli Zhang and published by Springer Nature. This book was released on 2023-09-22 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Conference, BigData 2023, Held as Part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, during September 23–26, 2023. The 14 full papers presented together with 2 short papers were carefully reviewed and selected from 27 submissions. The conference focuses on ​research track and application track.

Advances in Knowledge Discovery and Data Mining

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Publisher : Springer
ISBN 13 : 3319317539
Total Pages : 625 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining by : James Bailey

Download or read book Advances in Knowledge Discovery and Data Mining written by James Bailey and published by Springer. This book was released on 2016-04-11 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set, LNAI 9651 and 9652, constitutes the thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016. The 91 full papers were carefully reviewed and selected from 307 submissions. They are organized in topical sections named: classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data; spatiotemporal and image data; anomaly detection and clustering; novel models and algorithms; and text mining and recommender systems.

Advanced Techniques in Optimization for Machine Learning and Imaging

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Publisher : Springer Nature
ISBN 13 : 9819767695
Total Pages : 173 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Advanced Techniques in Optimization for Machine Learning and Imaging by : Alessandro Benfenati

Download or read book Advanced Techniques in Optimization for Machine Learning and Imaging written by Alessandro Benfenati and published by Springer Nature. This book was released on with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Python Data Science Essentials

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Publisher : Packt Publishing Ltd
ISBN 13 : 1789531896
Total Pages : 466 pages
Book Rating : 4.7/5 (895 download)

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Book Synopsis Python Data Science Essentials by : Alberto Boschetti

Download or read book Python Data Science Essentials written by Alberto Boschetti and published by Packt Publishing Ltd. This book was released on 2018-09-28 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain useful insights from your data using popular data science tools Key FeaturesA one-stop guide to Python libraries such as pandas and NumPyComprehensive coverage of data science operations such as data cleaning and data manipulationChoose scalable learning algorithms for your data science tasksBook Description Fully expanded and upgraded, the latest edition of Python Data Science Essentials will help you succeed in data science operations using the most common Python libraries. This book offers up-to-date insight into the core of Python, including the latest versions of the Jupyter Notebook, NumPy, pandas, and scikit-learn. The book covers detailed examples and large hybrid datasets to help you grasp essential statistical techniques for data collection, data munging and analysis, visualization, and reporting activities. You will also gain an understanding of advanced data science topics such as machine learning algorithms, distributed computing, tuning predictive models, and natural language processing. Furthermore, You’ll also be introduced to deep learning and gradient boosting solutions such as XGBoost, LightGBM, and CatBoost. By the end of the book, you will have gained a complete overview of the principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users What you will learnSet up your data science toolbox on Windows, Mac, and LinuxUse the core machine learning methods offered by the scikit-learn libraryManipulate, fix, and explore data to solve data science problemsLearn advanced explorative and manipulative techniques to solve data operationsOptimize your machine learning models for optimized performanceExplore and cluster graphs, taking advantage of interconnections and links in your dataWho this book is for If you’re a data science entrant, data analyst, or data engineer, this book will help you get ready to tackle real-world data science problems without wasting any time. Basic knowledge of probability/statistics and Python coding experience will assist you in understanding the concepts covered in this book.