الصفحة 1
الصفحة 1
Next generation information technologies and systems ; 6th International Conference, NGITS 2006, Kebbutz Sehfayim, Israel, July 4-6, 2006, Proceedings
The selected papers may be classified roughly in ten broad areas: ? Information systems development ? Distributed systems ? Semi-structured data ? Data mining and agent-oriented computing ? User-oriented design ? Frameworks, models and taxonomies ? Simulation and incremental computing ? Information integration ? Security and privacy ? Next-generation applications This event is the culmination of efforts by many talented and dedicated individuals.
Neuroscribe = نيوروسكرايب
Neuroscribe is a cutting-edge deep learning framework designed to address the complexities and inefficiencies encountered in existing frameworks like PyTorch and TensorFlow. Aimed at streamlining model development and enhancing performance across diverse hardware environments, NeuroScribe offers a lightweight and flexible solution. The framework features a robust tensor library, an auto-differentiation engine, a comprehensive neural network module, and advanced optimization algorithms. With built-in visualization tools and a user-friendly interface, NeuroScribe simplifies both beginner and advanced workflows. Its cross-platform compatibility, supported by CUDA and Metal Performance Shaders (MPS), ensures optimal performance, and in some scenarios, NeuroScribe demonstrates superior speed compared to leading frameworks. Additionally, NeuroScribe introduces unique libraries and features not found in other frameworks, further enhancing its versatility and appeal. The modular architecture and automatic system detection further enhance its adaptability, making NeuroScribe a versatile and powerful tool for deep learning practitioners.
Network-Centric Collaboration and Supporting Frameworks ; IFIP TC 5 WG 5.5, Seventh IFIP Working Conference on Virtual Enterprises, 25-27 September 2006, Helsinki, Finland
This book contains a number of selected articles from PRO-VE’06, the seventh working conference on virtual enterprises held in Helsinki, Finland, which was sponsored by the International Federation for Information Processing (IFIP) and the Society of Collaborative Networks (SOCOLNET). Being recognized as the most focused scientific and technical conference on Collaborative Networks, PRO-VE continues offering the opportunity for presentation and discussion of both the latest research developments as well as the practical application case studies. Following the vision of IFIP and SOCOLNET, the PRO-VE conference offers a forum for collaboration and knowledge exchange among experts from different regions of the world.
Network Classification For Traffic Management : Anomaly detection, feature selection, clustering and classification
Investigates network traffic classification solutions by proposing transport-layer methods to achieve better run and operated enterprise-scale networks. With the massive increase of data and traffic on the Internet within the 5G, IoT and smart cities frameworks, current network classification and analysis techniques are falling short. Novel approaches using machine learning algorithms are needed to cope with and manage real-world network traffic, including supervised, semi-supervised, and unsupervised classification techniques. Accurate and effective classification of network traffic will lead to better quality of service and more secure and manageable networks. Investigates network traffic classification solutions by proposing transport-layer methods to achieve better run and operated enterprise-scale networks. The authors explore novel methods for enhancing network statistics at the transport layer, helping to identify optimal feature selection through a global optimization approach and providing automatic labelling for raw traffic through a SemTra framework to maintain provable privacy on information disclosure properties.
Modular Programming Languages ; 7th Joint Modular Languages Conference, JMLC 2006, Oxford, UK, September 13-15, 2006, Proceedings
On behalf of the Steering Committee we are pleased to present the proceedings of the 2006 Joint Modular Languages Conference (JMLC), organized by Oxford Brookes University, Oxford, UK and held at Jesus College, Oxford. The mission of JMLC is to explore the concepts of well-structured programming languages and software and those of teaching good design and programming style. JMLC 2006 was the seventh in a series of successful conferences with themes including the construction of large and distributed software systems, and software en- neering aspects in new and dynamic application areas.
Model-Driven Testing : Using the UML Testing Profile
Written by the original members of this standardization group, this book shows you how to use UML to test complex software systems. The authors introduce UTP step-by-step, using a case study that illustrates how UTP can be used for test modeling and test specification. You’ll learn how UTP concepts can be used for functional and non-functional testing, with example applications and best practices for user-interfaces and service oriented architectures. In addition, the authors demonstrate how to apply UTP using frameworks like TTCN-3 and the JUnit test framework for Java.
Model-Driven Design Using Business Patterns
This book takes exactly this step: it shows you how to apply the pattern ideas in business applications and presents more than 20 structural and behavioral business patterns that use the REA (resources, events, agents) pattern as a common backbone. If you are a developer working on business frameworks, you can use the patterns presented to derive the right abstractions (e.g., business objects) and to design and ensure that the meta-rules (e.g., process patterns) are followed by the developers of the actual applications. And if you are an application developer, you can use these patterns to design your business application, to ensure that it does not violate the domain rules, and to adapt the application to changing requirements without the need to change the overall architecture. As with patterns in general, this approach allows for both more flexible and more solid software architectures and hence better software quality.
Mobile Information Systems : Infrastructure and Design for Adaptivity and Flexibility
The book is divided into three parts: core technologies for mobile information systems (e.g., adaptive middleware and flexible e-services), enabling technologies (like data management on small devices or adaptive low-power hardware architectures or wireless networks), and methodological aspects of mobile information systems design (such as service profiling or user interface and e-service design for context-aware applications). It provides researchers in academia and industry with a comprehensive vision on innovative aspects which can be used as a basis for the development of new frameworks and applications.
Methods and Tools for Collaborative Networked Organizations
Provides a comprehensive set of reference materials derived from the results of the ECOLEAD project in one organized volume. The ECOLEAD project, a large 4-year European initiative, involved 28 organizations (from academia, research and industry), from 14 countries (in Europe and Latin America).Three main types of results from ECOLEAD are presented: (i) Conceptual frameworks and models, (ii) Methods and processes, and (iii) Software tools and systems.
Metainformatics ; International Symposium, MIS 2004, Salzburg, Austria, September 15-18, 2004, Revised Selected Papers
Constitutes the refereed post-proceedings of the Metainformatics Symposium, MIS 2004, held in Salzburg, Austria. This book reviews 17 papers that are devoted to finding useful abstractions, analytical frameworks, and systems that improve the understanding of the underlying structure of disciplines and families of systems within computer science.
Maturing Usability : Quality in Software, Interaction and Value
Divided into three parts, ‘Quality in Software’ looks at how using development tools can enhance usability of a system, and how methods and models can be integrated into the development process to produce effective user interfaces. ‘Quality in Interaction’ addresses theoretical frameworks on the nature of interactions; techniques and metrics for evaluation interaction quality; and the transfer of concepts and methods from research to practice. Finally, ‘Quality in Value’ assesses the impact that a system has in the real world, focusing on increasing the value of usability practice for software development and on increasing value for the users.
Inductive logic programming ; 18th International Conference, ILP 2008 Prague, Czech Republic, September 10-12, 2008 Proceedings
This book constitutes the refereed proceedings of the 18th International Conference on Inductive Logic Programming, ILP 2008, held in Prague, Czech Republic, in September 2008.The 20 revised full papers presented together with the abstracts of 5 invited lectures were carefully reviewed and selected during two rounds of reviewing and improvement from 46 initial submissions. All current topics in inductive logic programming are covered, ranging from theoretical and methodological issues to advanced applications. The papers present original results in the first-order logic representation framework, explore novel logic induction frameworks, and address also new areas such as statistical relational learning, graph mining, or the semantic Web.
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.
High Confidence Software Reuse in Large Systems ; 10th International Conference on Software Reuse, ICSR 2008, Beijing, China, May 25-29, 2008 Proceedings
This book constitutes the refereed proceedings of the 10th International Conference on Software Reuse, ICSR 2008, held in Beijing, China, in May 2008.The 40 revised full papers presented together with 5 workshop summaries and 5 tutorials were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on architecture and reuse approaches, high confidence and reuse, component selection and reuse repository, product line, domain models and analysis, service oriented environment, components and services, reuse approaches and frameworks, as well as reuse approaches and methods.
Healthcare solutions using machine learning and informatics
Covers novel and innovative solutions for the healthcare that apply machine learning and biomedical informatics technology. The healthcare sector is one of the most critical in society. This book presents a series of artificial intelligence, machine learning, intelligent IoT-based solutions for medical image analysis, medical big data processing, disease predictions. Machine learning and artificial intelligence use cases in healthcare presented in the book give researchers, practitioners, and students a wide range of practical examples of cross-domain convergence. The wide variety of topics covered include: Artificial Intelligence in healthcare Machine learning solutions for such disease as diabetes, arthritis, cardiovascular disease, and COVID-19 Big data analytics solutions for healthcare data processing Reliable biomedical applications using AI models Intelligent IoT in healthcare. The book explains fundamental concepts as well as the advanced use cases illustrating how to apply emerging technologies such as machine learning, AI models, data informatics into practice to tackle challenges in the field of healthcare with real-world scenarios. Chapters contributed by noted academicians and professionals examine various solutions, frameworks, applications, case studies, and best practices in the healthcare domain
Handbook of big data analytics ; Vol.2 : Applications in ICT, security and business analytics
Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and user and customer preferences, to allow organizations and businesses to make more informed decisions. These methods and technologies have become ubiquitous in all fields of science, engineering, business and management due to the rise of data-driven models as well as data engineering developments using parallel and distributed computational analytics frameworks, data and algorithm parallelization, and GPGPU programming. However, there remain potential issues that need to be addressed to enable big data processing and analytics in real time.
Handbook of big data analytics ; Vol.1 : Methodologies
Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and user and customer preferences, to allow organizations and businesses to make more informed decisions. These methods and technologies have become ubiquitous in all fields of science, engineering, business and management due to the rise of data-driven models as well as data engineering developments using parallel and distributed computational analytics frameworks, data and algorithm parallelization, and GPGPU programming. However, there remain potential issues that need to be addressed to enable big data processing and analytics in real time. This volume presents several methodologies to support Big Data analytics including database management, processing frameworks and architectures, data lakes, query optimization strategies, towards real-time data processing, data stream analytics, Fog and Edge computing, and Artificial Intelligence and Big Data.
Guide to wireless network security
Guide to Wireless Network Security is an authoritative, clearly presented guide to key foundation topics and technology frameworks for designing and maintaining secure, reliable operations. From basic concepts to designing principles to deployment, all critical concepts and phases are clearly explained and presented. This guide includes coverage of wireless security testing techniques and prevention techniques for intrusion (attacks).
Groupware : design, implementation, and use ; Vol. 4154 ; 12th International Workshop, CRIWG 2006, Medina del Campo, Spain, September 17-21, 2006, Proceedings
Topical sections include collaborative applications and group interaction, group awareness, computer supported collaborative learning, languages and tools supporting collaboration, groupware development frameworks and toolkits, collaborative workspaces, web-based cooperative environments, mobile collaborative work, and collaborative design.
Google Guice : Agile Lightweight Dependency Injection Framework
Guice (pronounced “Juice”) is the Jolt Award-winning, 100% Java icing on the cake of Java dependency injection. Unlike other popular dependency injection frameworks such as Spring, Guice fully embraces modern Java language features and combines simplicity with stunning performance and developer–friendliness. Google Guice: Agile Lightweight Dependency Injection Framework will not only tell you “how,” it will also tell you “why” and “why not,” so that all the knowledge you gain will be as widely applicable as possible. Filled with examples and background information, this book is an invaluable addition to your knowledge of modern agile Java.
