الصفحة 3
الصفحة 3
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Interactive TV : A shared experience ; 5th European Conference, EuroITV 2007, Amsterdam, the Netherlands, May 24-25, 2007, Proceedings

This book constitutes the refereed proceedings of the 5th European Conference on Interactive Television, EuroITV 2007, held in Amsterdam, The Netherlands, May 2007. The papers are organized in topical sections on social TV systems, user studies, the future of TV, social TV evaluation, personalization, and mobile TV.

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Interactive systems. design, specification, and verification ; 15th International Workshop, DSV-IS 2008 Kingston, Canada, July 16-18, 2008 Revised Papers

This book constitutes the refereed proceedings of the 15th International Workshop on Design, Specification, and Verification of Interactive Systems, DSV-IS 2008, held in Kingston, Canada, in July 2008.The 21 revised full papers and 10 late breaking and experience report papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers cover user interface evaluation and specification, with particular emphasis on the use of task models to provide high-level approaches for capturing the intended functionality of a user interface; examining techniques for modeling user interfaces, particularly for mobile and ubiquitous applications.

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Intelligent systems design and applications ; 19th International Conference on intelligent systems design and applications (ISDA 2019) held December 3-5, 2019

This book highlights recent research on intelligent systems and nature-inspired computing. It presents 62 selected papers from the 19th International Conference on Intelligent Systems Design and Applications (ISDA 2019), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 33 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.

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Intelligent information processing and web mining ; Proceedings of the International IIS : IIPWM´05 Conference held in Gdansk, Poland, June 13-16, 2005

This edited book contains articles accepted for presentation during the conference "Intelligent Information Systems 2005 (IIS 2005) - New Trends in Intelligent Information Processing and Web Mining" held in Gdansk, Poland, on June 13-16, 2005.

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Intelligent decision-making support systems : Foundations, applications and challenges

The book brings together up-to-date information on the theory and application of i-DMSS. Readers will learn about the foundations, architectures, methods and strategies for successfully designing, developing, implementing, and evaluating intelligent Decision-making Support Systems. Intelligent Decision-making Support Systems: Foundations, Applications and Challenges will be of value to researchers in AI and management studies interested in the latest thinking in decision-making, as well practising managers and consultants who are involved with putting advanced information technologies into practice in organisations. The Decision Engineering series focuses on the foundations and applications of tools and techniques related to decision engineering, and identifies their relevance in ‘engineering’ decisions. The series provides an aid to practising professionals and applied researchers in the development of tools for informed operational and business decision making, within industry, by utilising distributed organisational knowledge.

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Intelligent Computer Mathematics ; 13th International Conference, CICM 2020, Bertinoro, Italy, July 26–31, 2020, Proceedings

This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Computer Mathematics, CICM 2020, held in Bertinoro, Italy, in July 2020*. The 15 full papers, 1 invited paper and 2 abstracts of invited papers presented were carefully reviewed and selected from a total of 35 submissions. The papers focus on advances in automated theorem provers and formalization, computer algebra systems and their libraries, and applications of machine learning, among other topics.

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Inside deep learning : Math, algorithms, models

Journey through the theory and practice of modern deep learning, and apply innovative techniques to solve everyday data problems. In Inside Deep Learning, you will learn how to: Implement deep learning with PyTorch Select the right deep learning components Train and evaluate a deep learning model Fine tune deep learning models to maximize performance Understand deep learning terminology Adapt existing PyTorch code to solve new problems Inside Deep Learning is an accessible guide to implementing deep learning with the PyTorch framework. It demystifies complex deep learning concepts and teaches you to understand the vocabulary of deep learning so you can keep pace in a rapidly evolving field. No detail is skipped--you'll dive into math, theory, and practical applications. Everything is clearly explained in plain English.

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Informing Digital Futures : Strategies for Citizen Engagement

In the present digital revolution we often seem trapped in a Kafkaesque world of technological advances, some desired, some disliked or even feared, which we cannot influence but must accept. This book discusses the urgent need to redress this situation. The authors argue that technologies succeed or fail according to their relevance and value to people, who need to be actively engaged in order to create shared visions and influence their implementation. Strategies for citizen engagement and empowerment will enable citizens to influence and shape desirable digital futures. The book reviews the currently accepted ways of thinking about the design of systems and the reasons why these methods are no longer adequate. From an academically rigorous analysis of case histories across a wide variety of sectors, knowledge and best practice are captured in a rich, descriptive model of the contributions of citizen engagement to the design process. Finally, it provides specific practical guidance, based on sound academic research, for policy makers, administrators and ICT professionals on the strategies, methodologies, tools and techniques needed to change design practice.

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Information Sharing on the Semantic Web

The more information is available, the harder it is to locate any particular piece of it. And even when it has been successfully found, it is even harder still to usefully combine it with other information we may already possess. It is commonly understood that this problem of information sharing can only be solved by giving computers better access to the semantics of the information. While it has been recognized that ontologies play a crucial role in solving the open problems, most approaches rely on the existence of well-established data structures. To overcome these shortcomings, Stuckenschmidt and van Harmelen describe ontology-based approaches for resolving semantic heterogeneity in weakly structured environments, in particular the World Wide Web. Addressing problems like missing conceptual models, unclear system boundaries, and heterogeneous representations, they design a framework for ontology-based information sharing in weakly structured environments like the Semantic Web. For researchers and students in areas related to the Semantic Web, the authors provide not only a comprehensive overview of the State of the art, but also present in detail recent research in areas like ontology design for information integration, metadata generation and management, and representation and management of distributed ontologies. For professionals in areas such as e-commerce and knowledge management, the book provides decision support on the use of novel technologies, information about potential problems, and guidelines for the successful application of existing technologies.

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Information Processing with Evolutionary Algorithms : From Industrial Applications to Academic Speculations

The last decade of the 20th century has witnessed a surge of interest in num- ical, computation-intensive approaches to information processing. The lines that draw the boundaries among statistics, optimization, arti cial intelligence and information processing are disappearing, and it is not uncommon to nd well-founded and sophisticated mathematical approaches in application - mains traditionally associated with ad-hoc programming. Heuristics has - come a branch of optimization and statistics. Clustering is applied to analyze soft data and to provide fast indexing in the World Wide Web. Non-trivial matrix algebra is at the heart of the last advances in computer vision. The breakthrough impulse was, apparently, due to the rise of the interest in arti cial neural networks, after its rediscovery in the late 1980s. Disguised as ANN, numerical and statistical methods made an appearance in the - formation processing scene, and others followed. A key component in many intelligent computational processing is the search for an optimal value of some function. Sometimes, this function is not evident and it must be made explicit in order to formulate the problem as an optimization problem. The search - ten takes place in high-dimensional spaces that can be either discrete, or c- tinuous or mixed. The shape of the high-dimensional surface that corresponds to the optimized function is usually very complex. Evolutionary algorithms are increasingly being applied to information processing applications that require any kind of optimization.

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Information and communications security ; 9th International Conference, ICICS 2007, Zhengzhou, China, December 12-15, 2007, Proceedings

This book constitutes the refereed proceedings of the 9th International Conference on Information and Communications Security, ICICS 2007, held in Zhengzhou, China, in December 2007. The papers are organized in topical sections on authentication and key exchange, digital signatures, applications, watermarking, fast implementations, applied cryptography, cryptanalysis, formal analysis, system security, and network 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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Implementation and Application of Automata ; Vol. 3845 ; 10th International Conference, CIAA 2005, Sophia Antipolis, France, June 27-29, 2005, Revised Selected Papers

Contains the notes of the two invited lectures, the 26 papers selected for presentation at the conference, and the abstracts of the eight posters that were displayed.

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Hyperparameter tuning for machine and deep learning with R : A practical guide

Equips readers with the ability to achieve better results with significantly less time, costs, effort and resources using the methods described here. The case studies presented in this book can be run on a regular desktop or notebook computer. The content focuses on the hyperparameter tuning of ML and DL algorithms, and is divided into two main parts: theory (Part I) and application (Part II). Essential topics covered include: a survey of important model parameters; four parameter tuning studies and one extensive global parameter tuning study; statistical analysis of the performance of ML and DL methods based on severity; and a new, consensus-ranking-based way to aggregate and analyze results from multiple algorithms.

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Hydra = هايدرا

Forgery involves the use of advanced algorithms to replicate and distribute deceptive products across various categories, casting shadows of doubt on the authenticity of goods. Although counterfeit detection can be useful in identifying and mitigating fraudulent activities, the widespread presence of counterfeit goods poses significant dangers, undermining consumer confidence and brand reputation. To underscore the severity of this issue, consider instances such as fake luxury items flooding the market, counterfeit electronics compromising safety, or bogus pharmaceuticals endangering health. Addressing this issue is critical in maintaining the integrity of brands, safeguarding consumer well-being, and preserving trust in the marketplace. The ability to distinguish between authentic and counterfeit products is paramount in ensuring accurate decision-making and preventing the harmful consequences of fraudulent goods. This technological context underscores the urgency of developing and deploying cutting-edge solutions to combat the evolving landscape of product forgery. Hydra emerges as a robust solution, utilizing a comprehensive approach that includes extracting posts and images from search engine tools, and is integrated with AI models to detect forgery. The Hydra platform not only provides users with a powerful tool for detecting counterfeit products but also offers tangible benefits such as enhanced brand security, increased awareness about the prevalence of forgeries, and the opportunity to actively participate in a real-time community.

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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 ; 4th International Workshop,HM 2007, Dortmund, Germany, October 8-9, 2007, Proceedings

This book constitutes the refereed proceedings of the 4th International Workshop on Hybrid Metaheuristics, HM 2007, held in Dortmund, Germany. The 14 revised full papers discuss specific aspects of hybridization of metaheuristics, hybrid metaheuristics design, development and testing.

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Human-Computer Interaction and Cybersecurity Handbook - Human Factors and Ergonomics

Covers all areas of human–computer interaction and human factors in cybersecurity Includes information for IT specialists, who often desire more knowledge about the human side of cybersecurity Provides a reference for other disciplines such as psychology, behavioral science, software engineering, and security management Offers a source of information for cybersecurity practitioners in government agencies and private enterprises Presents new areas such as smart networking and devices

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Health Information Science ; 9th International Conference, HIS 2020, Amsterdam, The Netherlands, October 20–23, 2020, Proceedings

This book constitutes the proceedings of the 9th International Conference on Health Information Science, HIS 2020, which took place in Amsterdam, The Netherlands, during October 20-23, 2020. The 11 full papers and 6 short papers presented in this volume were carefully reviewed and selected from 62 submissions. They were organized in topical sections named: mental health; medical record processing; medical information systems; medical diagnosis with machine learning; and health behavior and medication.

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Hardening Windows

Hardening is the process of protecting a system against unknown threats. System administrators harden against that which they think could be a threat. Administrators know the Internet is a hostile environment. Although they can't tell, for example, that a hacker will attempt to gain access to the SQL server next Tuesday, they can bet money there'll be an attempt soon and should "batten down the hatches" in anticipation. Hardening Windows, Second Edition is the definitive "counterintelligence" guide to performing preventative security measures for the Windows operating system. This second edition covers the release of Windows XP Service Pack 2 and its new security features, including the Windows Firewall and the Security Center. It also covers Windows Server 2003 Service Pack 1, Windows Server R2's new Security Configuration Wizard, Windows NT, Windows 2000, branch-office security features, and new setup options.

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