الصفحة 45
الصفحة 45
Advances in XML information retrieval and Evaluation ; 4th International workshop of the initiative for the evaluation of XML retrieval, INEX 2005, Dagstuhl Castle, Germany, November 28-30, 2005. Revised and Selected Papers
Content-oriented XML retrieval has been receiving increasing interest due to the widespread use of eXtensible Markup Language (XML), which is becoming a standard document format on the Web, in digital libraries,and publishing. By exploiting the enriched source of syntactic and semantic information that XML markup provides, XML information retrieval (IR) systems aim to implement a more focused retrieval strategy and return document components, so-called XML elements – instead of complete documents – in response to a user query. This focused retrieval approach is of particular bene?t for collections containing long documents or documents covering a wide variety of topics (e.g., books, user manuals, legal documents, etc.), where users’ e?ort to locate relevant content can be reduced by directing them to the most relevant parts of the documents.
Advances in XML information retrieval ; 3rd International workshop of the Initiative for the evaluation of XML retrieval, INEX 2004, Dagstuhl Castle, Germany, December 6-8, 2004
The ultimate goal of many information access systems (e.g., digital libraries, the Web, intranets) is to provide the right content to their end-users. This content is increasingly a mixture of text, multimedia, and metadata, and is formatted according to the adopted –W3C standard for information repositories, the so-called eXtensible Markup L- guage (XML). Whereas many of today’s information access systems still treat do- ments as single large (text) blocks, XML offers the opportunity to exploit the internal structure of documents in order to allow for more precise access thus providing more specific answers to user requests. Providing effective access to XML-based content is therefore a key issue for the success of these systems. The aim of the INEX campaign (Initiative for the Evaluation of XML Retrieval), which was set up at the beginning of 2002, is to establish infrastructures, XML test suites, and appropriate measurements for evaluating the performance of information retrieval systems that aim at giving effective access to XML content. More precisely, the goal of the INEX initiative is to provide means, in the form of a large XML test collection and appropriate scoring methods, for the evaluation of content-oriented XML retrieval systems.
Advances in web-based learning - ICWL 2005 ; 4th international conference, Hong Kong, China, July 31 - August 3, 2005, proceedings
With the rapid development of Web-based learning, a new set of learning - vironments including virtual classrooms, virtual laboratories and virtual universities are being developed. These new learning environments, however, also introduce new problems that need to be addressed. On the technical side, there is a need for the deployment of effective technologies on Web-based education. On the learning side, the cyber mode of learning is very different from tra- tional classroom-based learning. On the management side, the establishment of a cyber university imposes very different requirements for the set up. ICWL 2005, the 4th International Conference on Web-Based Learning, was held in Hong Kong, China from July 31 to August 3, 2005, as a continued - tempt to address many of the above-mentioned issues. Following the great success of ICWL
Advances in web-age information management ; 2nd International Conference, WAIM 2001, Xi'an, China, July 9-11, 2001. Proceedings
This book constitutes the refereed proceedings of the Second International Conference on Web-Age Information Management, WAIM 2001, held in Xi'an, China, in July 2001.The 21 revised full papers and 12 short papers presented together with 4 research experience papers were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections on multimedia databases and high-dimensional indexing, information retrieval and text indexing, data mining, semistructured data management, data warehousing and federated databases, Web information management and e-commerce, spatio-temporal and high-dimensional information management, data mining and constraint management, data integration and filtering, and workflow and adaptive systems.
Advances in web based learning - ICWL 2007 ; 6th International conference Edinburgh, UK, August 15-17, 2007 Revised Papers
This book contributes the thoroughly refereed post-conference proceedings of the 6th International Conference on Web-Based Learning, ICWL 2007, held in Edinburgh, UK, in August 2007.
Advances in web based learning -- ICWL 2006 ; 5th International conference, Penang, Malaysia, July 19-21, 2006, Revised Papers
The conference program was organized in a single-track 3-day workshop. It included a tutorial, a keynote talk, and oral/poster paper presentations in several sessions dedicated to specific topics. Session topics included “Personalization in E-Learning,” “Designs, Model and Framework of E-Learning Systems,” “Implementations and Evaluations of E-Learning Systems,” “Tools in E-Learning,” and “Learning Resource Deployment, Organization and Management. ” We received a total of 99 submissions from all over the world.
Advances in UAV detection, classification and tracking
Explores the latest techniques and advancements in unmanned aerial vehicle (UAV) detection, classification, and tracking. As UAV technology continues to evolve and become more accessible, there is a growing need for effective methods to detect, identify, and track these devices in various scenarios. This reprint provides a thorough overview of the state-of-the-art approaches for UAV detection, classification, and tracking, covering both theoretical and practical aspects.The reprint begins by introducing the basics of UAVs and their various applications, followed by a detailed overview of the challenges associated with UAV detection, classification, and tracking. The authors then present the latest techniques and algorithms used in the field, including machine-learning-based approaches, computer vision techniques, and sensor fusion techniques. The reprint also covers the challenges of real-world applications, such as dealing with occlusions, sensor noise, and environmental factors.
Advances in Swarm Intelligence ; 11th International Conference, ICSI 2020, Belgrade, Serbia, July 14–20, 2020, Proceedings
Constitutes the proceedings of the 11th International Conference on Advances in Swarm Intelligence, ICSI 2020, held in July 2020 in Belgrade, Serbia. Due to the COVID-19 pandemic the conference was held virtually. The 63 papers included in this volume were carefully reviewed and selected from 127 submissions. The papers are organized in 12 cohesive topical sections as follows: Swarm intelligence and nature-inspired computing; swarm-based computing algorithms for optimization; particle swarm optimization; ant colony optimization; brain storm optimization algorithm; bacterial foraging optimization; genetic algorithm and evolutionary computation; multi-objective optimization; machine learning; data mining; multi-agent system and robotic swarm, and other applications.
Advances in semantic media adaptation and personalization
Realizing the growing importance of semantic adaptation and personalization of media, the editors of this book brought together leading researchers and practitioners of the field to discuss the state-of-the-art, and explore emerging exciting developments. This volume comprises extended versions of selected papers presented at the 1st International Workshop on Semantic Media Adaptation and Personalization (SMAP 2006).
Advances in Rule Interchange and Applications ; International Symposium, RuleML 2007, Orlando, Florida, October 25-26, 2007, Proceedings
The goal of RuleM is to develop an open, general, XML-based family of rule languages as intermediaries between various ‘specialized’ rule vendors, applications, industrial and academic research groups, as well as standardization efforts such as OMG’s PRR or W3C’s RIF. A general advantage of using declarative rules is that they can be easily represented in a machine-readable and platform-independent manner, often governed by an XML schema. This fits well into today’s distributed, heterogeneous Web-based system environments. Rules represented in standardized Web formats can be discovered, interchanged and invoked at runtime within and across Web systems, and can be interpreted and executed on any platform.
Advances in Robot Control : From Everyday Physics to Human-Like Movements
This volume provides a unique collection of papers written in honor of the 70th birthday of Suguru Arimoto who has long been recognized as a pioneer in the field of robot control. A variety of his research is reflected in this book, which includes contributions from leading experts in the field, who have also been closely associated with Suguru Arimoto at various stages in his distinguished career. The book is build around two themes: the physics-based robot control for coping with the so-called everyday physics problems on one hand, and the challenge of reproducing beautiful, human-like movements on the other hand. These themes defined much of Arimoto’s research in the field of robot control and are the cornerstones of his perception of human robotics.
Advances in radar systems for target detection and tracking
Radar systems can provide the all-weather and all-time detection and tracking of targets of interest, and they have been extensively applied by the remote sensing community, in applications such as geological exploration, disaster forecasting, traffic monitoring, urban planning, environmental sciences, hydrology, littoral zones, oceans, etc. This reprint contains the several advance research studies on radar systems for target detection and tracking. It includes multipath ghost suppression, maneuvering target tracking, target detection, and other topics.
Advances in pervasive computing and networking
"Pervasive Computing and Networking aim at providing ubiquitous, ever-present, adaptable, smart, enveloping and immersive environments in which computing components and humans can interact regardless of the location. The combination of an abundance of computational power of the processors and the communication bandwidth provided by the wireless and mobile networking everywhere and all the time makes such environments within the reach of current technology. Yet, to realize the full potential of such environments, many technical and economical challenges needs to be overcome. These challenges and the perspective on the seminal directions of the research in this area were the subject of the Workshop for Pervasive Computing and Networking at Rensselaer Polytechnic Institute, Troy, NY, USA.
Advances in neural networks - ISNN 2006 ; Vol.3973 : 3rd International symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part III
Constitute the Proceedings of the Third International Symposium on Neural Networks (ISNN 2006) held in Chengdu in southwestern China during May 28–31, 2006. After a successful ISNN 2004 in Dalian and ISNN 2005 in Chongqing, ISNN became a well-established series of conferences on neural computation in the region with growing popularity and improving quality. ISNN 2006 received 2472 submissions from authors in 43 countries and regions,Based on rigorous reviews, 616 high-quality papers were selected for publication in the proceedings with the acceptance rate being less than 25%. The papers are organized in 27 cohesive sections covering all major topics of neural network research and development. In addition to the numerous contributed papers, ten distinguished scholars gave plenary speeches .
Advances in neural networks - ISNN 2006 ; Vol. 3972 : 3rd International symposium on neural networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part II
Constitute the Proceedings of the Third International Symposium on Neural Networks (ISNN 2006) held in Chengdu in southwestern China during May 28–31, 2006. After a successful ISNN 2004 in Dalian and ISNN 2005 in Chongqing, ISNN became a well-established series of conferences on neural computation in the region with growing popularity and improving quality. ISNN 2006 received 2472 submissions from authors in 43 countries and regions,Based on rigorous reviews, 616 high-quality papers were selected for publication in the proceedings with the acceptance rate being less than 25%. The papers are organized in 27 cohesive sections covering all major topics of neural network research and development. In addition to the numerous contributed papers, ten distinguished scholars gave plenary speeches .
Advances in neural networks - ISNN 2006 ; Vol. 3971 : 3rd International symposium on neural networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I
This book and its sister volumes constitute the Proceedings of the Third International Symposium on Neural Networks (ISNN 2006) held in Chengdu in southwestern China during May 28–31, 2006. After a successful ISNN 2004 in Dalian and ISNN 2005 in Chongqing, ISNN became a well-established series of conferences on neural computation in the region with growing popularity and improving quality. ISNN 2006 received 2472 submissions from authors in 43 countries and regions,Based on rigorous reviews, 616 high-quality papers were selected for publication in the proceedings with the acceptance rate being less than 25%. The papers are organized in 27 cohesive sections covering all major topics of neural network research and development. In addition to the numerous contributed papers, ten distinguished scholars gave plenary speeches .
Advances in Molecular Oncology
Proceedings of the 2nd Annual IFOM-IEO Meeting on Cancer. This is a new meeting, it has about 200 attendees from Australia, Austria, Belgium, Brazil, Canada, England, France, Germany, Greece, Ireland, Italy, Japan, Netherlands, Spain, Sweden, Switzerland, and the USA. The 2nd IFOM-IEO international meeting on cancer will provide a forum in which the world’s leading cancer researchers and young scientists will discuss the latest advances in molecular oncology. The impact of recent breakthroughs in basic research and of emerging technologies on molecular medicine in cancer will be highlighted.
Advances in microwave and radio frequency processing ; Report from the 8th International conference on microwave and high-frequency heating held in Bayreuth, Germany, September 3-7, 2001
Recent applications of microwave and high-frequency radiation in the field of materials processing, chemical synthesis, food processing and in the biomedical area are presented. The book also covers fundamentals of matter radiation interaction, modeling of processes, hardware development, measurement techniques as well as current regulations for industrial applications of microwave and radio frequency heating.
Advances in Metaheuristics for Hard Optimization
The book gathers contributions related to the following topics: theoretical developments in metaheuristics; adaptation of discrete metaheuristics to continuous optimization; performance comparisons of metaheuristics; cooperative methods combining different approaches; parallel and distributed metaheuristics for multiobjective optimization; software implementations; and real-world applications.
Advances in Learning Classifier Systems ; 4th International Workshop, IWLCS 2001, San Francisco, CA, USA, July 7-8, 2001. Revised Papers
The Fourth International Workshop on Learning Classifier Systems (IWLCS2001) was held July 7-8, 2001, in San Francisco, California, during the Geneticand Evolutionary Computation Conference (GECCO 2001). We have includedin this volume revised and extended versions of eleven of the papers presentedat the workshop.The volume is organized into two main parts. The first is dedicated to importanttheoretical issues of learning classifier systems research including the influenceof exploration strategy, a model of self-adaptive classifier systems, and the useof classifier systems for social simulation. The second part contains papers dis-cussing applications of learning classifier systems such as data mining, stocktrading, and power distribution networks.An appendix contains a paper presenting a formal description of ACS, a rapidlyemerging learning classifier system model.
