الصفحة 8
الصفحة 8
Computational intelligence paradigms : Innovative Applications
The book includes a sample of research on the innovative applications of advanced computational intelligence paradigms. The characteristics of computational intelligence paradigms such as learning, generalization based on learned knowledge, knowledge extraction from imprecise and incomplete data are the extremely important for the implementation of intelligent machines.
Computational intelligence and bioinspired systems ; 8th International Work-conference on artificial neural networks, IWANN 2005, Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005, Proceedings
We present in this volume the collection of finally accepted papers of the eighth edition of the “IWANN” conference (“International Work-Conference on Artificial Neural Networks”). This biennial meeting focuses on the foundations, theory, models and applications of systems inspired by nature (neural networks, fuzzy logic and evolutionary systems). For scientists, engineers and professionals working in the area, this is a very good way to get solid and competitive applications. We are facing a real revolution with the emergence of embedded intelligence in many artificial systems (systems covering diverse fields: industry, domotics, leisure, healthcare, … ). So we are convinced that an enormous amount of work must be, and should be, still done. Many pieces of the puzzle must be built and placed into their proper positions, offering us new and solid theories and models (necessary tools) for the application and praxis of these current paradigms. The above-mentioned concepts were the main reason for the subtitle of the IWANN 2005 edition: “Computational Intelligence and Bioinspired Systems.” papers was addressing the following topics: 1. Mathematical and theoretical methods in computational intelligence.
Computational intelligence : A compendium
Computational Intelligence paradigms have proven effective on real-world problems in virtually all disciplines including Science, Engineering, Business, healthcare, Management and Avionics. This handbook includes contributions from the leading international experts in their respective fields. There are twenty five chapters grouped in the following ten parts covering theoretical aspects and practical applications.
Mass customization and footwear : Myth, salvation or reality? : A comprehensive Analysis of the Adoption of the mass customization paradigm in footwear, from the Perspective of the EUROShoE (Extended User Oriented Shoe Enterprise) Research Project
Mass customization is an emerging paradigm that is gathering a growing interest in many different industrial fields. The EUROShoE project, financed by the European Commission, explored the applicability of and developed technologies for the adoption of such a paradigm in the footwear business. Mass Customization and Footwear: Myth, Salvation or Reality? is the only monograph dedicated to the application of mass customization in a particular industry. Based on the outcomes of the EUROShoE project, the book is a detailed analysis of the most relevant case studies of early mass customizers in the footwear sector, highlighting reasons for their failure or success. Both the technological aspects and the business aspects of mass customization, together with some relevant economic indicators are covered in the book.
Managing change for sustainability at higher education sector in Syria : The case of private university
Provides an overview of sustainability in higher education, emphasizing its significance in the scope of environmental, social, and economic initiatives. A clarification between an old and new paradigm is examined, highlighting the challenges, which face the higher education sector. The research review classical model of change drawing on the importance of action research model. The research provides a case example on sustainability in higher education in the South Mediterranean region, drawing on the case of Syrian higher education...
Management of Intentional and Accidental Water Pollution
The goals of the workshop included a discussion of the state of the science in identification of new research and approaches for water pollution events and communication of the management of water pollution and sustainability of water resources. Critical to management of accidental and intentional pollution events is the assessment of the risk, an understanding of the hazards and lessons learned from events which may lead to preventative management and control strategies. Public health protection will ultimately be improved by the ability to develop management frameworks which are flexible and adaptable to the specific region, country or watershed problems and concerns and allow for prioritization in the decision making. The integration of scientific information regarding the types of hazards the environmental fate of the chemical/biological, exposure pathways and human and ecosystem impacts may be implemented from both a qualitative or descriptive approach or using a more classical quantitative risk assessment paradigm. Thus the frameworks for assessing the risk and managing the risk may be seen as preventive, early warning and responsive.
Making Growth Work : How Companies Can Expand and Become More Efficient
Growth is the key goal of management. It's not just an indicator of a company's performance, but also the basis for its future success. But growth doesn't just mean getting bigger – it also means getting better. In other words, growth must be profitable, otherwise it destroys the company's value long term. And this is not the only challenge. Growth must also be made continuous. The traditional V-curve paradigm (first downsize, then grow) no longer applies. Today, companies must follow a parallel strategy of growth coupled with reorganization, in the sense of permanently increasing efficiency.
Machine learning and its application to reacting flows: ml and combustion
These two fields, ML and turbulent combustion, have large body of work and knowledge on their own, and this book brings them together and explain the complexities and challenges involved in applying ML techniques to simulate and study reacting flows. This is important as to the world’s total primary energy supply (TPES), since more than 90% of this supply is through combustion technologies and the non-negligible effects of combustion on environment. Although alternative technologies based on renewable energies are coming up, their shares for the TPES is are less than 5% currently and one needs a complete paradigm shift to replace combustion sources. The book covers the current state of the art in these two topics and outlines the challenges involved, merits and drawbacks of using ML for turbulent combustion simulations including avenues which can be explored to overcome the challenges.
Machine learning and deep learning in medical data analytics and healthcare applications
Introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging, automation, robotic surgery, electronic smart records creation, outbreak prediction, medical image analysis, and radiation treatments.
Machine Learning and Data Mining in Pattern Recognition ; 4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005, Proceedings
Today, artificial intelligence deals with large amounts of data and knowledge and finds new information using machine learning and data mining. Machine learning and data mining are irreplaceable subjects and tools for the theory of pattern recognition and in applications of pattern recognition such as bioinformatics and data retrieval. This was the fourth edition of MLDM in Pattern Recognition which is the main event of Technical Committee 17 of the International Association for Pattern Recognition; it started out as a workshop and continued as a conference in 2003. Today, there are many international meetings which are titled “machine learning” and “data mining”, whose topics are text mining, knowledge discovery, and applications. This meeting from the first focused on aspects of machine learning and data mining in pattern recognition problems. We planned to reorganize classical and well-established pattern recognition paradigms from the viewpoints of machine learning and data mining. Though it was a challenging program in the late 1990s, the idea has inspired new starting points in pattern recognition and effects in other areas such as cognitive computer vision.
Machine Learning and Big Data Analytics Paradigms : Analysis, Applications and Challenges
Intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.
Logic, language, information and computation ; 15th International Workshop, WoLLIC 2008 Edinburgh, UK, July 1-4, 2008 Proceedings
The papers cover all pertinent subjects in computer science with particular interest in cross-disciplinary topics. Typical areas of interest are: foundations of computing and programming; novel computation models and paradigms; broad notions of proof and belief; formal methods in software and hardware development; logical approach to natural language and reasoning; logics of programs, actions and resources; foundational aspects of information organization, search, flow, sharing, and protection.
Logic Programming : 24th International Conference, ICLP 2008 Udine, Italy, December 9-13 2008 Proceedings
The 35 revised full papers together with 2 invited talks, 2 invited tutorials, 11 papers of the co-located first Workshop on Answer Set Programming and Other Computing Paradigms (ASPOCP 2008), as well as 26 poster presentations and the abstracts of 11 doctoral consortium articles were carefully reviewed and selected from 177 initial submissions. The papers cover all issues of current research in logic programming - they are organized in topical sections on applications, algorithms, systems, and implementations, semantics and foundations, analysis and transformations, CHRs and extensions, implementations and systems, answer set programming and extensions, as well as constraints and optimizations.
Lifelong Learning : Interpretations of an Education Policy in Europe
In Europe, the idea of Lifelong Learning has developed from an education policy to the most important pedagogic paradigm. The concept was created as an answer to the international education crisis, diagnozed by Philip H. Coombs in 1967. Since the European Year of Lifelong Learning in 1996, it has been regarded as an alternative to deal with the rapid social, political and economic changes of the modern world. Andrea Óhidy shows the genesis of the concept and its development towards a pedagogic paradigm. She investigates the relations between the concept of Lifelong Learning and school education and points out the most important links between Lifelong Learning and adult education.
Learning Classifier Systems in Data Mining
Just over thirty years after Holland first presented the outline for Learning Classifier System paradigm, the ability of LCS to solve complex real-world problems is becoming clear. In particular, their capability for rule induction in data mining has sparked renewed interest in LCS. This book brings together work by a number of individuals who are demonstrating their good performance in a variety of domains.
Learning and Intelligent Optimization ; 2nd International Conference, LION 2007 II, Trento, Italy, December 8-12, 2007. Selected Papers
The papers cover current issues of machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems and are organized in topical sections on improving optimization through learning, variable neighborhood search, insect colony optimization, applications, new paradigms, cliques, stochastic optimization, combinatorial optimization, fitness and landscapes, and particle swarm optimization.
Law Against Unfair Competition : Towards a New Paradigm in Europe?
Annotation This book examines the present state of harmonization of unfair competition law in Europe. It discusses the particular approach to unfair competition law in the 10 new Member States and the possible impact on the future development of European unfair competition law. The book presents new insight in the importance of unfair competition law, especially in countries with a developing market economy.
Knowledge-Driven Computing : Knowledge Engineering and Intelligent Computations
Knowledge-Driven Computing constitutes an emerging area of intensive research located at the intersection of Computational Intelligence and Knowledge Engineering with strong mathematical foundations. It embraces methods and approaches coming from diverse computational paradigms, such as evolutionary computation and nature-inspired algorithms, logic programming and constraint programming, rule-based systems, fuzzy sets and many others. The use of various knowledge representation formalisms and knowledge processing and computing paradigms is oriented towards the efficient resolution of computationally complex and difficult problems.
Knowledge-Based Virtual Education : User-Centred Paradigms
The book covers a multitude of important issues on the subject of "Innovations in Knowledge-Based Virtual Education ", aiming at researchers and practitioners from academia, industry, and government. The carefully selected contributions report on research, development and real-world experiences of virtual education.
Knowledge Representation and the Semantics of Natural Language
This book presents a method for the semantic representation of natural l- guage expressions (texts, sentences, phrases, etc. ) which can be used as a u- versal knowledge representation paradigm in the human sciences, like lingu- tics, cognitive psychology, or philosophy of language, as well as in com- tational linguistics and in arti?cial intelligence. It is also an attempt to close the gap between these disciplines, which to a large extent are still working separately.
