الصفحة 6
الصفحة 6
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Information Science and Applications ; Proceedings of ICISA 2020

This book presents select proceedings of 11th International Conference on Information Science and Applications 2020 (ICISA 2020) 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. Also 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 book, readers can gain an understanding of the current state-of-the-art information strategies and technologies of convergence security.

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Information and Communications Security ; 10th International Conference, ICICS 2008 Birmingham, UK, October 20 - 22, 2008 Proceedings

This book constitutes the refereed proceedings of the 10th International Conference on Information and Communications Security, ICICS 2008, held in Birmingham, UK, in October 2008.The 27 revised full papers presented together with one invited paper were carefully reviewed and selected from 125 submissions. The papers are organized in topical sections on authentication, side channel analysis, cryptanalysis, access control, software security, system security, applied cryptography, and security protocols.

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Information and Communication Technology for Intelligent Systems ; Proceedings of ICTIS 2020, Vol.2

This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Fourth International Conference on Information and Communication Technology for Intelligent Systems, which was held in Ahmedabad, India. Divided into two volumes, the book discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.

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Information and Communication Technology for Intelligent Systems ; Proceedings of ICTIS 2020, Vol.1

This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Fourth International Conference on Information and Communication Technology for Intelligent Systems, which was held in Ahmedabad, India. Divided into two volumes, the book discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.

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Inference Control in Statistical Databases : From Theory to Practice

Inference control in statistical databases, also known as statistical disclosure limitation or statistical confidentiality, is about finding tradeoffs to the tension between the increasing societal need for accurate statistical data and the legal and ethical obligation to protect privacy of individuals and enterprises which are the source of data for producing statistics. Techniques used by intruders to make inferences compromising privacy increasingly draw on data mining, record linkage, knowledge discovery, and data analysis and thus statistical inference control becomes an integral part of computer science. This coherent state-of-the-art survey presents some of the most recent work in the field. The papers presented together with an introduction are organized in topical sections on tabular data protection, microdata protection, and software and user case studies.

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Inductive logic programming ; 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers

The 18th International Conference on Inductive Logic Programming was held in Prague, September 10–12, 2008. ILP returned to Prague after 11 years, and it is tempting to look at how the topics of interest have evolved during that time. The ILP community clearly continues to cherish its beloved ?rst-order logic representation framework. This is legitimate, as the work presented at ILP 2008 demonstrated that there is still room for both extending established ILP approaches (such as inverse entailment) and exploring novel logic induction frameworks (such as brave induction). Besides the topics lending ILP research its unique focus.

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Implementing semantic web services : The SESA framework

Service-oriented computing has become one of the predominant factors in IT research and development efforts over the last few years. In spite of several standardization efforts that advanced from research labs into industrial-strength technologies and tools, there is still much human effort required in the process of finding and executing Web services.

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Implementation and Applications of Automata ; 13th International Conference, CIAA 2008, San Francisco, California, USA, July 21-24, 2008. Proceedings

This book constitutes the thoroughly refereed post-proceedings of the 13th International Conference on Implementation and Application of Automata, CIAA 2008, held in San Francisco, USA, in July 2008.The 26 revised full papers togehter with 4 invited papers were carefully reviewed and selected from 40 submissions and have gone through two rounds of reviewing and improvement. The papers cover various topics in the theory, implementation, and applications of automata and related structures.

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Image-Based Rendering

Image-based rendering (IBR) refers to a collection of techniques and representations that allows 3D scenes and objects to be visualized in a realistic way without full 3D model reconstruction. The potential for photorealistic visualization has tremendous appeal, especially for applications such as video games, virtual travel, and E-commerce, which stand to greatly benefit from this technology.

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Image and video processing and recognition based on artificial intelligence (Vol. II)

Focuses on challenging issues in the field of AI-based image and video processing and recognition, including the topics of AI-based image processing, understanding, recognition, compression, and reconstruction; AI-based video processing, understanding, recognition, compression, and reconstruction; computer vision based on AI; AI-based biometrics; AI-based object detection and tracking; approaches that combine AI techniques and conventional methods for image and video processing and recognition; explainable AI (XAI) for image and video processing and recognition; generative adversarial network (GAN)-based image and video processing and recognition; and approaches that combine AI techniques and blockchain methods for image and video processing and recognition.

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Image and video encryption : From digital rights management to secured personal communication

Image and Video Encryption provides a unified overview of techniques for encryption of images and video data. This ranges from commercial applications like DVD or DVB to more research oriented topics and recently published material. This volume introduces different techniques from unified viewpoint, then evaluates these techniques with respect to their respective properties (e.g., security, speed.....). Encryption of visual data is an important topic in the area of mutimedia security, applications range from digital rights management (DVD, DVB) ) to secure personal communications. Within this topic area, we face several aims which contradict each other. What we thrive on is good compression, fast compression, high security, fast encryption, bitstream compliance, little power consumption and little memory requirements. The authors experimentally compare different approaches proposed in the literature and include an extensive bibliography of corresponding published material. Image and Video Encryption is designed for a professional audience composed of researchers and practitioners in industry. The book is also suitable for graduate-level students in computer science and electrical engineering.

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Image and Signal Processing ; 3rd International Conference, ICISP 2008. Cherbourg-Octeville, France, July 1 - 3, 2008. Proceedings

This book constitutes the refereed proceedings of the Third International Conference on Image and Signal Processing, ICISP 2008, held in Cherbourg-Octeville, France, in July 2008.The 48 revised full papers and 22 revised poster papers presented were carefully reviewed and selected from 193 submissions. The papers are organized in topical sections on image filtering, image segmentation, computer vision, feature extraction, pattern recognition, graph-based representations, motion detection and estimation, new interfaces, document processing, and signal processing.

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Image Analysis and Recognition ; 5th International Conference, ICIAR 2008, Póvoa de Varzim, Portugal, June 25-27, 2008. Proceedings

The 110 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 226 submissions. The papers are organized in topical sections on image restoration and enhancement, image and video segmentation, non-linear image processing, image and video coding and encryption, indexing and retrieval, computer vision, feature extraction and classification, shape representation and matching, object recognition, character recognition, texture and motion analysis, tracking, biomedical image analysis, biometrics, face recognition, and a special session on recent advances in multimodal biometric systems and applications. 

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Image Analysis ; 14th Scandinavian Conference, SCIA 2005, Joensuu, Finland, June 19-22, 2005, Proceedings

This proceedings volume collects the scienti?c presentations of the Scandinavian Conference on Image Analysis, SCIA 2005, which was held at the University of Joensuu, Finland, June 19–22, 2005. The conference was the fourteenth in the series of biennial conferences started in 1980. The name of the series re?ects the fact that the conferences are organized in the Nordic (Scandinavian) countries, following the cycle Sweden, Finland, Denmark, and Norway. The event itself has always been international in its participants and presentations. Today there are many conferences in the ?elds related to SCIA. In this s- uation our goal is to keep up the reputation for the high quality and friendly environment of SCIA. We hope that participants feel that it’s worth attending the conference. Therefore, both the scienti?c and social program were designed to support the best features of a scienti?c meeting: to get new ideas for research and to have the possibility to exchange thoughts with fellow scientists.

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Illustrated C# 2005

Illustrated C# 2005 presents the C# programming language in a unique visual manner. The book uses three techniques to achieve this: concise text, tables that clarify and summarize language features, and frequent figures and diagrams. Each feature is also illustrated with concise, focused code samples.

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Identification of nonlinear systems using neural networks and polynomial models : A block-oriented approach

The book gives a comparative study of their gradient approximation accuracy, computational complexity, and convergence rates and furthermore presents some new and original methods concerning the model parameter adjusting with gradient-based techniques. "Identification of Nonlinear Systems Using Neural Networks and Polynomal Models".

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Hybrid metaheuristics ; Vol. 4030 ; 3rd International Workshop, HM 2006, Gran Canaria, Spain, October 13-14, 2006, Proceedings

The selection of papers for HM 2006 consolidated some of the mainstream issues that have emerged from the past editions. Firstly, there are prominent examples of e?ective hybrid techniques whose design and implementation were motivated by challenging real-world applications. We believe this is particularly important for two reasons: on the one hand, researchers are conscious that the primary goal of developing algorithms is to solve relevant real-life problems; on the other hand, the path towarde?cient solving methods for practical problems is a source of new outstanding ideas and theories. A second important issue is that the research community on metaheur- tics has become increasingly interested in and open to techniques and methods known from arti?cial intelligence (AI) and operations research (OR). So far, the most representative examples of such integration have been the use of AI/OR techniques as subordinates of metaheuristic methods. As a historical and - ymological note, this is in perfect accordance with the original meaning of a metaheuristic as a “general strategy controlling a subordinate heuristic. ” The awareness of the need for a sound experimental methodology is a third keypoint.

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Hybrid metaheuristics ; Vol. 3636 ; 2nd International Workshop, HM 2005, Barcelona, Spain, August 29-30, 2005. Proceedings

Constitutes the refereed proceedings of the Second International Workshop on Hybrid Metaheuristics, HM 2005, held in Barcelona, Spain, in August 2005. In this book, the papers addresses topics such as: low-level hybridization, high-level hybridization, portfolio techniques, expert systems, co-operative search, taxonomy, terminology, and more.

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Hybrid metaheuristics ; 5th International Workshop, HM 2008, Málaga, Spain, October 8-9, 2008. Proceedings

This book constitutes the refereed proceedings of the 5th International Workshop on Hybrid Metaheuristics, HM 2008, held in Malaga, Spain, in October 2008.The 14 revised full papers presented were carefully reviewed and selected from 33 submissions. The papers discuss specific aspects of combinations of metaheuristics and other solving techniques for tackling particular relevant constrained optimization problems, such as fiber optic networks, time tabling and freight train scheduling problems.

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Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing : An Evolutionary Approach for Neural Networks and Fuzzy Systems

This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems.

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