Mathematical Morphology and Its Applications to Signal and Image Processing

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Publisher : Springer
ISBN 13 : 3030208672
Total Pages : 545 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Mathematical Morphology and Its Applications to Signal and Image Processing by : Bernhard Burgeth

Download or read book Mathematical Morphology and Its Applications to Signal and Image Processing written by Bernhard Burgeth and published by Springer. This book was released on 2019-06-19 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the refereed proceedings of the 14th International Symposium on Mathematical Morphology, ISMM 2019, held in Saarbrücken, Germany, in July 2019. The 40 revised full papers presented together with one invited talk were carefully reviewed and selected from 54 submissions. The papers are organized in topical sections on Theory, Discrete Topology and Tomography, Trees and Hierarchies, Multivariate Morphology, Computational Morphology, Machine Learning, Segmentation, Applications in Engineering, and Applications in (Bio)medical Imaging.

Advances in Imaging and Electron Physics

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Publisher : Academic Press
ISBN 13 : 0124077307
Total Pages : 405 pages
Book Rating : 4.1/5 (24 download)

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Book Synopsis Advances in Imaging and Electron Physics by :

Download or read book Advances in Imaging and Electron Physics written by and published by Academic Press. This book was released on 2013-04-30 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Imaging and Electron Physics features cutting-edge articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science and digital image processing, electromagnetic wave propagation, electron microscopy, and the computing methods used in all these domains. - Contributions from leading authorities - Informs and updates on all the latest developments in the field

New Achievements in Evolutionary Computation

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Publisher : BoD – Books on Demand
ISBN 13 : 9533070536
Total Pages : 330 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis New Achievements in Evolutionary Computation by : Peter Korosec

Download or read book New Achievements in Evolutionary Computation written by Peter Korosec and published by BoD – Books on Demand. This book was released on 2010-02-01 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary computation has been widely used in computer science for decades. Even though it started as far back as the 1960s with simulated evolution, the subject is still evolving. During this time, new metaheuristic optimization approaches, like evolutionary algorithms, genetic algorithms, swarm intelligence, etc., were being developed and new fields of usage in artificial intelligence, machine learning, combinatorial and numerical optimization, etc., were being explored. However, even with so much work done, novel research into new techniques and new areas of usage is far from over. This book presents some new theoretical as well as practical aspects of evolutionary computation. This book will be of great value to undergraduates, graduate students, researchers in computer science, and anyone else with an interest in learning about the latest developments in evolutionary computation.

Business Intelligence in Economic Forecasting: Technologies and Techniques

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Publisher : IGI Global
ISBN 13 : 1615206302
Total Pages : 405 pages
Book Rating : 4.6/5 (152 download)

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Book Synopsis Business Intelligence in Economic Forecasting: Technologies and Techniques by : Wang, Jue

Download or read book Business Intelligence in Economic Forecasting: Technologies and Techniques written by Wang, Jue and published by IGI Global. This book was released on 2010-06-30 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rapid development of economic globalization and information technology, the field of economic forecasting continues its expeditious advancement, providing business and government with applicable technologies. This book discusses various business intelligence techniques including neural networks, support vector machine, genetic programming, clustering analysis, TEI@I, fuzzy systems, text mining, and many more. It serves as a valuable reference for professionals and researchers interested in BI technologies and their practical applications in economic forecasting, as well as policy makers in business organizations and governments.

Information Processing with Evolutionary Algorithms

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Publisher : Springer Science & Business Media
ISBN 13 : 1846281172
Total Pages : 340 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Information Processing with Evolutionary Algorithms by : Manuel Grana

Download or read book Information Processing with Evolutionary Algorithms written by Manuel Grana and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a broad sample of current information processing applications Includes examples of successful applications that will encourage practitioners to apply the techniques described in the book to real-life problems

Artificial Neural Networks and Machine Learning -- ICANN 2012

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Publisher : Springer
ISBN 13 : 3642332668
Total Pages : 612 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Artificial Neural Networks and Machine Learning -- ICANN 2012 by : Alessandro Villa

Download or read book Artificial Neural Networks and Machine Learning -- ICANN 2012 written by Alessandro Villa and published by Springer. This book was released on 2012-09-19 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 7552 + 7553 constitutes the proceedings of the 22nd International Conference on Artificial Neural Networks, ICANN 2012, held in Lausanne, Switzerland, in September 2012. The 162 papers included in the proceedings were carefully reviewed and selected from 247 submissions. They are organized in topical sections named: theoretical neural computation; information and optimization; from neurons to neuromorphism; spiking dynamics; from single neurons to networks; complex firing patterns; movement and motion; from sensation to perception; object and face recognition; reinforcement learning; bayesian and echo state networks; recurrent neural networks and reservoir computing; coding architectures; interacting with the brain; swarm intelligence and decision-making; mulitlayer perceptrons and kernel networks; training and learning; inference and recognition; support vector machines; self-organizing maps and clustering; clustering, mining and exploratory analysis; bioinformatics; and time weries and forecasting.

American Doctoral Dissertations

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Publisher :
ISBN 13 :
Total Pages : 806 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis American Doctoral Dissertations by :

Download or read book American Doctoral Dissertations written by and published by . This book was released on 1997 with total page 806 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Data Engineering and Automated Learning -- IDEAL 2012

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Publisher : Springer
ISBN 13 : 3642326390
Total Pages : 882 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Intelligent Data Engineering and Automated Learning -- IDEAL 2012 by : Hujun Yin

Download or read book Intelligent Data Engineering and Automated Learning -- IDEAL 2012 written by Hujun Yin and published by Springer. This book was released on 2012-08-01 with total page 882 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2012, held in Natal, Brazil, in August 2012. The 100 revised full papers presented were carefully reviewed and selected from more than 200 submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.

Intelligent Systems

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Publisher : Springer Nature
ISBN 13 : 303121689X
Total Pages : 686 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Intelligent Systems by : João Carlos Xavier-Junior

Download or read book Intelligent Systems written by João Carlos Xavier-Junior and published by Springer Nature. This book was released on 2022-11-18 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 13653 and 13654 constitutes the refereed proceedings of the 11th Brazilian Conference on Intelligent Systems, BRACIS 2022, which took place in Campinas, Brazil, in November/December 2022. The 89 papers presented in the proceedings were carefully reviewed and selected from 225 submissions. The conference deals with theoretical aspects and applications of artificial and computational intelligence.

SIBGRAPI '98, International Symposium on Computer Graphics, Image Processing, and Vision

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Publisher : Institute of Electrical & Electronics Engineers(IEEE)
ISBN 13 :
Total Pages : 506 pages
Book Rating : 4.:/5 (321 download)

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Book Synopsis SIBGRAPI '98, International Symposium on Computer Graphics, Image Processing, and Vision by : Luciano da Fontoura Costa

Download or read book SIBGRAPI '98, International Symposium on Computer Graphics, Image Processing, and Vision written by Luciano da Fontoura Costa and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1998 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence and Digitalization for Sustainable Development

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Publisher : Springer Nature
ISBN 13 : 3031287258
Total Pages : 316 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Artificial Intelligence and Digitalization for Sustainable Development by : Bereket H. Woldegiorgis

Download or read book Artificial Intelligence and Digitalization for Sustainable Development written by Bereket H. Woldegiorgis and published by Springer Nature. This book was released on 2023-03-18 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings, ICAST 2022, constitutes the refereed post-conference proceedings of the 10th International Conference on Advancement of Science and Technology, ICAST 2022, which took place in Bahir Dar, Ethiopia, in November 2022. The 17 revised full papers and one short paper were carefully reviewed and selected from 174 submissions. The papers present economic and technologic developments in modern societies related to important issues such digitization, energy transformation, impact on national economy, and its recent advancements.

Connectionist Speech Recognition

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Publisher : Springer Science & Business Media
ISBN 13 : 1461532108
Total Pages : 329 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Connectionist Speech Recognition by : Hervé A. Bourlard

Download or read book Connectionist Speech Recognition written by Hervé A. Bourlard and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionist Speech Recognition: A Hybrid Approach describes the theory and implementation of a method to incorporate neural network approaches into state of the art continuous speech recognition systems based on hidden Markov models (HMMs) to improve their performance. In this framework, neural networks (and in particular, multilayer perceptrons or MLPs) have been restricted to well-defined subtasks of the whole system, i.e. HMM emission probability estimation and feature extraction. The book describes a successful five-year international collaboration between the authors. The lessons learned form a case study that demonstrates how hybrid systems can be developed to combine neural networks with more traditional statistical approaches. The book illustrates both the advantages and limitations of neural networks in the framework of a statistical systems. Using standard databases and comparison with some conventional approaches, it is shown that MLP probability estimation can improve recognition performance. Other approaches are discussed, though there is no such unequivocal experimental result for these methods. Connectionist Speech Recognition is of use to anyone intending to use neural networks for speech recognition or within the framework provided by an existing successful statistical approach. This includes research and development groups working in the field of speech recognition, both with standard and neural network approaches, as well as other pattern recognition and/or neural network researchers. The book is also suitable as a text for advanced courses on neural networks or speech processing.

Neural Networks for Modelling and Control of Dynamic Systems

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Publisher :
ISBN 13 :
Total Pages : 246 pages
Book Rating : 4.:/5 (876 download)

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Book Synopsis Neural Networks for Modelling and Control of Dynamic Systems by : M. Norgaard

Download or read book Neural Networks for Modelling and Control of Dynamic Systems written by M. Norgaard and published by . This book was released on 2003 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Sensors and Image Processing

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Publisher : Springer
ISBN 13 : 9811066140
Total Pages : 274 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Sensors and Image Processing by : Shabana Urooj

Download or read book Sensors and Image Processing written by Shabana Urooj and published by Springer. This book was released on 2017-10-03 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security. This volume focuses on Sensors and Image Processing. The contents of this book will be useful to researchers and students alike.

Genetic Systems Programming

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Publisher : Springer
ISBN 13 : 3540324984
Total Pages : 248 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Genetic Systems Programming by : Ajith Abraham

Download or read book Genetic Systems Programming written by Ajith Abraham and published by Springer. This book was released on 2008-07-21 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designing complex programs such as operating systems, compilers, filing systems, data base systems, etc. is an old ever lasting research area. Genetic programming is a relatively new promising and growing research area. Among other uses, it provides efficient tools to deal with hard problems by evolving creative and competitive solutions. Systems Programming is generally strewn with such hard problems. This book is devoted to reporting innovative and significant progress about the contribution of genetic programming in systems programming. The contributions of this book clearly demonstrate that genetic programming is very effective in solving hard and yet-open problems in systems programming. Followed by an introductory chapter, in the remaining contributed chapters, the reader can easily learn about systems where genetic programming can be applied successfully. These include but are not limited to, information security systems, compilers, data mining systems, stock market prediction systems, robots and automatic programming.

Neural Networks and Statistical Learning

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Publisher : Springer Science & Business Media
ISBN 13 : 1447155718
Total Pages : 834 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Neural Networks and Statistical Learning by : Ke-Lin Du

Download or read book Neural Networks and Statistical Learning written by Ke-Lin Du and published by Springer Science & Business Media. This book was released on 2013-12-09 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content. Each of the twenty-five chapters includes state-of-the-art descriptions and important research results on the respective topics. The broad coverage includes the multilayer perceptron, the Hopfield network, associative memory models, clustering models and algorithms, the radial basis function network, recurrent neural networks, principal component analysis, nonnegative matrix factorization, independent component analysis, discriminant analysis, support vector machines, kernel methods, reinforcement learning, probabilistic and Bayesian networks, data fusion and ensemble learning, fuzzy sets and logic, neurofuzzy models, hardware implementations, and some machine learning topics. Applications to biometric/bioinformatics and data mining are also included. Focusing on the prominent accomplishments and their practical aspects, academic and technical staff, graduate students and researchers will find that this provides a solid foundation and encompassing reference for the fields of neural networks, pattern recognition, signal processing, machine learning, computational intelligence, and data mining.

Real-world Multi-objective System Engineering

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Publisher : Nova Publishers
ISBN 13 : 9781594543906
Total Pages : 222 pages
Book Rating : 4.5/5 (439 download)

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Book Synopsis Real-world Multi-objective System Engineering by : Nadia Nedjah

Download or read book Real-world Multi-objective System Engineering written by Nadia Nedjah and published by Nova Publishers. This book was released on 2005 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-world engineering problems often require concurrent optimisation of several design objectives, which are conflicting in most of the cases. Such an optimisation is generally called multi-objective or multi-criterion optimisation. The area of research that applies evolutionary methodologies to multi-objective optimisation is of special and growing interest. It brings a solution to many yet-opened real-world problems and questions. Generally, multi-objective engineering problems have no single optimal design, but several solutions of equal efficiency allowing different trade-offs. The decision maker's preferences are normally used to select the most adequate design. Such preferences may be dictated before or after the optimisation takes place. They may also be introduced interactively at different levels of the optimisation process. Multi-objective optimisation methods can be subdivided into classical and evolutionary. The classical methods usually aim at a single solution while the evolutionary methods target a whole set of so-called Pareto-optimal solutions. of the evolutionary multi-objective optimisation research area and related new trends. Furthermore, it reports many innovative designs yielded by the application of such optimisation methods. The contents of the book are divided into two main parts: evolutionary multi-objective optimisation and evolutionary multi-objective designs.