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Mathematical Analysis in Interdisciplinary Research
  • Language: en
  • Pages: 1050

Mathematical Analysis in Interdisciplinary Research

This contributed volume provides an extensive account of research and expository papers in a broad domain of mathematical analysis and its various applications to a multitude of fields. Presenting the state-of-the-art knowledge in a wide range of topics, the book will be useful to graduate students and researchers in theoretical and applicable interdisciplinary research. The focus is on several subjects including: optimal control problems, optimal maintenance of communication networks, optimal emergency evacuation with uncertainty, cooperative and noncooperative partial differential systems, variational inequalities and general equilibrium models, anisotropic elasticity and harmonic function...

Face Recognition
  • Language: en
  • Pages: 414

Face Recognition

This book aims to bring together selected recent advances, applications and original results in the area of biometric face recognition. They can be useful for researchers, engineers, graduate and postgraduate students, experts in this area and hopefully also for people interested generally in computer science, security, machine learning and artificial intelligence. Various methods, approaches and algorithms for recognition of human faces are used by authors of the chapters of this book, e.g. PCA, LDA, artificial neural networks, wavelets, curvelets, kernel methods, Gabor filters, active appearance models, 2D and 3D representations, optical correlation, hidden Markov models and others. Also a broad range of problems is covered: feature extraction and dimensionality reduction (chapters 1-4), 2D face recognition from the point of view of full system proposal (chapters 5-10), illumination and pose problems (chapters 11-13), eye movement (chapter 14), 3D face recognition (chapters 15-19) and hardware issues (chapters 19-20).

Advances in Signal Processing and Intelligent Recognition Systems
  • Language: en
  • Pages: 607

Advances in Signal Processing and Intelligent Recognition Systems

This edited volume contains a selection of refereed and revised papers originally presented at the International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2014), March 13-15, 2014, Trivandrum, India. The program committee received 134 submissions from 11 countries. Each paper was peer reviewed by at least three or more independent referees of the program committee and the 52 papers were finally selected. The papers offer stimulating insights into Pattern Recognition, Machine Learning and Knowledge-Based Systems; Signal and Speech Processing; Image and Video Processing; Mobile Computing and Applications and Computer Vision. The book is directed to the researchers and scientists engaged in various field of signal processing and related areas.

Fourier Transforms
  • Language: en
  • Pages: 264

Fourier Transforms

The main purpose of this book is to provide a modern review about recent advances in Fourier transforms as the most powerful analytical tool for high-tech application in electrical, electronic, and computer engineering, as well as Fourier transform spectral techniques with a wide range of biological, biomedical, biotechnological, pharmaceutical, and nanotechnological applications. The confluence of Fourier transform methods with high tech opens new opportunities for detection and handling of atoms and molecules using nanodevices, with potential for a large variety of scientific and technological applications.

Information Processing and Management
  • Language: en
  • Pages: 693

Information Processing and Management

It is my pleasure to write the preface for Information Processing and Management. This book aims to bring together innovative results and new research trends in inf- mation processing, computer science and management engineering. If an information processing system is able to perform useful actions for an obj- tive in a given domain, it is because the system knows something about that domain. The more knowledge it has, the more useful it can be to its users. Without that kno- edge, the system itself is useless. In the information systems field, there is conceptual modeling for the activity that elicits and describes the general knowledge a particular information system needs to know. The main objective of conceptual modeling is to obtain that description, which is called a conceptual schema. Conceptual schemas are written in languages called conceptual modeling languages. Conceptual modeling is an important part of requi- ments engineering, the first and most important phase in the development of an inf- mation system.

Machine Learning for Complex and Unmanned Systems
  • Language: en
  • Pages: 386

Machine Learning for Complex and Unmanned Systems

  • Type: Book
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  • Published: 2024-02-21
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  • Publisher: CRC Press

This book highlights applications that include machine learning methods to enhance new developments in complex and unmanned systems. The contents are organized from the applications requiring few methods to the ones combining different methods and discussing their development and hardware/software implementation. The book includes two parts: the first one collects machine learning applications in complex systems, mainly discussing developments highlighting their modeling and simulation, and hardware implementation. The second part collects applications of machine learning in unmanned systems including optimization and case studies in submarines, drones, and robots. The chapters discuss misce...

Deep Learning Classifiers with Memristive Networks
  • Language: en
  • Pages: 216

Deep Learning Classifiers with Memristive Networks

  • Type: Book
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  • Published: 2019-04-08
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  • Publisher: Springer

This book introduces readers to the fundamentals of deep neural network architectures, with a special emphasis on memristor circuits and systems. At first, the book offers an overview of neuro-memristive systems, including memristor devices, models, and theory, as well as an introduction to deep learning neural networks such as multi-layer networks, convolution neural networks, hierarchical temporal memory, and long short term memories, and deep neuro-fuzzy networks. It then focuses on the design of these neural networks using memristor crossbar architectures in detail. The book integrates the theory with various applications of neuro-memristive circuits and systems. It provides an introductory tutorial on a range of issues in the design, evaluation techniques, and implementations of different deep neural network architectures with memristors.

An Introductory Guide to Raspberry Pi
  • Language: en
  • Pages: 68

An Introductory Guide to Raspberry Pi

This is an introductory book covering a hand-on approach to learning Raspberry Pi. The book contains the step by step procedures for setting up the system and implement practical projects. The book provides example Python codes and illustrations to make it easier for learning and implementing real-time systems with Raspberry Pi platform. The book is suitable for school students, university graduates, professionals and hobbyist, who would want to get started with Raspberry Pi and implement some interesting projects. The book also provides additional project ideas.

O.S.U. Theses and Dissertations, 1960-1965
  • Language: en
  • Pages: 104

O.S.U. Theses and Dissertations, 1960-1965

  • Type: Book
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  • Published: 1967
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  • Publisher: Unknown

None

Bibliographic Series
  • Language: en
  • Pages: 490

Bibliographic Series

  • Type: Book
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  • Published: 1957
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  • Publisher: Unknown

None