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Cognitive Systems and Signal Processing (Repost)

Posted By: AvaxGenius
Cognitive Systems and Signal Processing (Repost)

Cognitive Systems and Signal Processing: 5th International Conference, ICCSIP 2020, Zhuhai, China, December 25–27, 2020, Revised Selected Papers by Fuchun Sun
English | EPUB | 2022 | 639 Pages | ISBN : 981162335X | 119.3 MB

This book constitutes the refereed post-conference proceedings of the 5th International Conference on Cognitive Systems and Signal Processing, ICCSIP 2020, held in Zhuhai, China, in December 2020.
The 59 revised papers presented were carefully reviewed and selected from 120 submissions. The papers are organized in topical sections on algorithm; application; manipulation; bioinformatics; vision; and autonomous vehicles.

Soft Computing and Fractal Theory for Intelligent Manufacturing

Posted By: AvaxGenius
Soft Computing and Fractal Theory for Intelligent Manufacturing

Soft Computing and Fractal Theory for Intelligent Manufacturing by Oscar Castillo , Patricia Melin
English | PDF | 2003 | 291 Pages | ISBN : 3790815470 | 24.1 MB

We describe in this book, new methods for intelligent manufacturing using soft computing techniques and fractal theory. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems. Fractal theory provides us with the mathematical tools to understand the geometrical complexity of natural objects and can be used for identification and modeling purposes.

Manuela Lenzen - Künstliche Intelligenz: Fakten, Chancen, Risiken

Posted By: Bibliotkaaa
Manuela Lenzen - Künstliche Intelligenz: Fakten, Chancen, Risiken

Manuela Lenzen - Künstliche Intelligenz: Fakten, Chancen, Risiken
Deutsch | ISBN: 3406751245 | 128 pages | True EPUB | 11.03.2020 | 2.43 MB

Soft Computing Applications in Industry

Posted By: AvaxGenius
Soft Computing Applications in Industry

Soft Computing Applications in Industry by Bhanu Prasad
English | PDF | 2008 | 383 Pages | ISBN : 3540774645 | 9.7 MB

Softcomputing techniques play a vital role in the industry. This book presents several important papers presented by some of the well-known scientists from all over the globe. The application domains discussed in this book include: agroecology, bioinformatics, branched fluid-transport network layout design, dam scheduling, data analysis and exploration, detection of phishing attacks, distributed terrestrial transportation, fault detection of motors, fault diagnosis of electronic circuits, fault diagnosis of power distribution systems, flood routing, hazard sensing, health care, industrial chemical processes, knowledge management in software development, local multipoint distribution systems, missing data estimation, parameter calibration of rainfall intensity models, parameter identification for systems engineering, petroleum vessel mooring, query answering in P2P systems, real-time strategy games, robot control, satellite heat pipe design, monsoon rainfall forecasting, structural design, tool condition monitoring, vehicle routing, water network design, etc.

Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning

Posted By: AvaxGenius
Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning

Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning by Te-Ming Huang , Vojislav Kecman , Ivica Kopriva
English | PDF(True) | 2006 | 266 Pages | ISBN : 3540316817 | 5.2 MB

"Kernel Based Algorithms for Mining Huge Data Sets" is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets by using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction (feature elimination) and shows the similarities and differences between the two most popular unsupervised techniques, the principal component analysis (PCA) and the independent component analysis (ICA). The book presents various examples, software, algorithmic solutions enabling the reader to develop their own codes for solving the problems.

Applied Probability (Repost)

Posted By: AvaxGenius
Applied Probability (Repost)

Applied Probability by Kenneth Lange
English | PDF | 2003 | 378 Pages | ISBN : 0387004254 | 4.3 MB

Despite the fears of university mathematics departments, mathematics educat,ion is growing rather than declining. But the truth of the matter is that the increases are occurring outside departments of mathematics. Engineers, computer scientists, physicists, chemists, economists, statis- cians, biologists, and even philosophers teach and learn a great deal of mathematics. The teaching is not always terribly rigorous, but it tends to be better motivated and better adapted to the needs of students. In my own experience teaching students of biostatistics and mathematical bi- ogy, I attempt to convey both the beauty and utility of probability.

Advances in Intelligent Information Hiding and Multimedia Signal Processing

Posted By: AvaxGenius
Advances in Intelligent Information Hiding and Multimedia Signal Processing

Advances in Intelligent Information Hiding and Multimedia Signal Processing: Proceeding of the IIH-MSP 2021 & FITAT 2021, Kaohsiung, Taiwan, Volume 2 by Jeng-Shyang Pan
English | PDF | 2022 | 355 Pages | ISBN : 9811910529 | 10.7 MB

This book presents selected papers from the 17th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, in conjunction with the 14th International Conference on Frontiers of Information Technology, Applications and Tools, held on 29–31 October 2021 in Kaohsiung, Taiwan. It is divided into two volumes and discusses latest research outcomes in the field of information technology (IT) including but not limited to information hiding, multimedia signal processing, big data, data mining, bioinformatics, database, industrial and internet of things, and their applications.

Essential Wavelets for Statistical Applications and Data Analysis

Posted By: AvaxGenius
Essential Wavelets for Statistical Applications and Data Analysis

Essential Wavelets for Statistical Applications and Data Analysis by R. Todd Ogden
English | PDF | 1997 | 218 Pages | ISBN : 0817638644 | 17.5 MB

I once heard the book by Meyer (1993) described as a "vulgarization" of wavelets. While this is true in one sense of the word, that of making a sub­ ject popular (Meyer's book is one of the early works written with the non­ specialist in mind), the implication seems to be that such an attempt some­ how cheapens or coarsens the subject. I have to disagree that popularity goes hand-in-hand with debasement. is certainly a beautiful theory underlying wavelet analysis, there is While there plenty of beauty left over for the applications of wavelet methods.

Large-Scale PDE-Constrained Optimization in Applications (Repost)

Posted By: AvaxGenius
Large-Scale PDE-Constrained Optimization in Applications (Repost)

Large-Scale PDE-Constrained Optimization in Applications by Subhendu Bikash Hazra
English | PDF | 2010 | 216 Pages | ISBN : 3642015018 | 6 MB

This book results from the authors work done on simulation based optimization problems at the Department of Mathematics, University of Trier, and reported in his postdoctoral thesis (”Habilitationsschrift”) accepted by the Faculty-IV of this University in 2008. The focus of the work has been to develop mathematical methods and algorithms which lead to efficient and high performance computational techniques to solve such optimization problems in real-life applications. Systematic development of the methods and algorithms are presented here.

Algorithms and Programming: Problems and Solutions

Posted By: AvaxGenius
Algorithms and Programming: Problems and Solutions

Algorithms and Programming: Problems and Solutions by Alexander Shen
English | PDF | 1997 | 227 Pages | ISBN : 0817647600 | 16.1 MB

Algorithms and Programming is primarily intended for a first-year undergraduate course in programming. It is structured in a problem-solution format that requires the student to think through the programming process, thus developing an understanding of the underlying theory. Although the author assumes some moderate familiarity with programming constructs, the book is easily readable by a student taking a basic introductory course in computer science. In addition, the more advanced chapters make the book useful for a course at the graduate level in the analysis of algorithms and/or compiler construction.

Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering: TCCE 2021

Posted By: AvaxGenius
Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering: TCCE 2021

Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering: TCCE 2021 by M. Shamim Kaiser
English | EPUB | 2022 | 567 Pages | ISBN : 9811675961 | 79 MB

This book presents various computational and cognitive modeling approaches in the areas of health, education, finance, environment, engineering, commerce, and industry. It is a collection of selected conference papers presented at the 3rd International Conference on Trends in Cognitive Computation Engineering (TCCE 2021), hosted online by Universiti Tun Hussein Onn Malaysia (UTHM) during October 21–22, 2021. It shares cutting-edge insights and ideas from mathematicians, engineers, scientists, and researchers and discusses fresh perspectives on problem solving in a range of research areas.

Handbook of Floating-Point Arithmetic

Posted By: AvaxGenius
Handbook of Floating-Point Arithmetic

Handbook of Floating-Point Arithmetic by Jean-Michel Muller
English | PDF(True) | 2010 | 579 Pages | ISBN : 081764704X | 6.7 MB

Floating-point arithmetic is by far the most widely used way of implementing real-number arithmetic on modern computers. Although the basic principles of floating-point arithmetic can be explained in a short amount of time, making such an arithmetic reliable and portable, yet fast, is a very difficult task. From the 1960s to the early 1980s, many different arithmetics were developed, but their implementation varied widely from one machine to another, making it difficult for nonexperts to design, learn, and use the required algorithms. As a result, floating-point arithmetic is far from being exploited to its full potential.

Digital Signatures (Advances in Information Security) (Repost)

Posted By: AvaxGenius
Digital Signatures (Advances in Information Security) (Repost)

Digital Signatures by Jonathan Katz
English | PDF | 2010 | 197 Pages | ISBN : 0387277110 | 1.6 MB

Digital Signatures is the first comprehensive account of the theoretical principles and techniques used in the design of provably secure signature schemes. In addition to providing the reader with a better understanding of the security guarantees provided by digital signatures, the book also contains full descriptions and detailed proofs for essentially all known secure signature schemes in the cryptographic literature.

Data Mining and Knowledge Discovery Handbook

Posted By: AvaxGenius
Data Mining and Knowledge Discovery Handbook

Data Mining and Knowledge Discovery Handbook by Oded Maimon
English | PDF | 2010 | 1269 Pages | ISBN : 0387098224 | 18.5 MB

Knowledge Discovery demonstrates intelligent computing at its best, and is the most desirable and interesting end-product of Information Technology. To be able to discover and to extract knowledge from data is a task that many researchers and practitioners are endeavoring to accomplish. There is a lot of hidden knowledge waiting to be discovered – this is the challenge created by today’s abundance of data.

Advances in Multi-Objective Nature Inspired Computing (Repost)

Posted By: AvaxGenius
Advances in Multi-Objective Nature Inspired Computing (Repost)

Advances in Multi-Objective Nature Inspired Computing by Carlos A. Coello Coello
English | PDF | 2010 | 204 Pages | ISBN : 364211217X | 19.8 MB

The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems.