الصفحة 62
الصفحة 62
Advances in Artificial Intelligence ; 20th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2007, Montreal, Canada, May 28-30, 2007, Proceedings
This book cover agents, bioinformatics, classification, constraint satisfaction, data mining, knowledge representation and reasoning, learning, natural language, and planning.
Advances in Artificial Intelligence - IBERAMIA 2008 ; 11th Ibero-American Conference on AI, Lisbon, Portugal, October 14-17, 2008. Proceedings
Constitutes the refereed proceedings of the 11th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2008, held in Lisbon, Portugal, in October 2008.
Advances in Artificial Economics : The Economy as a Complex Dynamic System
Perceiving the economy as a complex dynamic system, generates a need for new tools for its study. As a constructive simulation method, Agent-Based Computational Economics (ACE) has in recent years proven its strength and extensive applicability. Fields of study are widely spread within economics, with a cluster around financial markets. This book is based on communications given at AE’2006 (Aalborg, Denmark) – the second symposium on Artificial Economics, and covers both wellknown questions of economics, like the existence of market efficiency, as well as new questions raised by the new tools, for example questions related to networks of social interaction.
Advanced Web and Network Technologies, and Applications ; APWeb 2006 International Workshops : XRA, IWSN, MEGA, and ICSE, Harbin, China, January 16-18, 2006, Proceedings
The QOS evaluating model for computational grid nodes put forward can help greatly improving the self-adaptability of resource management and accelerating the appli- tion and development of Computational Grid. Now this model has been applied in NPU Campus Computational Grid. And the good effect brought by it has effectively proved its function. References 1. Foster, I. and C. Kesselman, eds. The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann, 1999. 2. Liu Liang, Zhou Xing-she, and Gu Jian-hua: A Multi-Agent System for Grid Computing. The Second International Conference on Active Media Technology, 2003 3. Yao Wang, Julita Vassileva: Trust and Reputation Model in Peer-to-Peer Networks. Farag Azzedin and Muthucumaru Maheswaran: Integrating Trust into Grid Resource M- agement Systems.
Advanced Techniques in Knowledge Discovery and Data Mining
This explosion is a result of the growing use of electronic media. But what is data mining (DM)? A Web search using the Google search engine retrieves many (really many) definitions of data mining. We include here a few interesting ones. One of the simpler definitions is: “As the term suggests, data mining is the analysis of data to establish relationships and identify patterns” [1]. It focuses on identifying relations in data. Our next example is more elaborate: An information extraction activity whose goal is to discover hidden facts contained in databases. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis .
Advanced Software Engineering : Expanding the Frontiers of Software Technology ; IFIP 19th World Computer Congress, First International Workshop on Advanced Software Engineering, August 25, 2006, Santiago, Chile
The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of referred international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing.
Advanced sensors technologies applied in mobile robot
Contains contributions on the latest developments in mobile robotic systems and related research. Various topics with different ideas and applications from mobile robotics have found their place. New ideas are presented for mobile robots that specialise in cleaning floors, power lines and HVAC systems. We also find innovative approaches for navigation path planning using local minima-free potential fields, novel path primitives and/or their parameterisation for minimum-time planning, and various control approaches ranging from visual serving to model predictive and adaptive trajectory tracking, applied to wheeled robots, humanoid manipulators and flying robots. Localisation approaches using LiDAR, motion capture systems, fingerprint-based and biomechanical gait systems are also discussed.
Advanced mathematical science for mobility society
The automotive industry has made steady progress in technological innovations under the names of Connected Autonomous-Shared-Electric (CASE) and Mobility as a Service (MaaS). Needless to say, mathematics and informatics are important to support such innovations. As the concept of cars and movement itself is diversifying, they are indispensable for grasping the essence of the future mobility society and building the foundation for the next generation. This book contains three main contents. 1. Mathematical models of flow 2. Mathematical methodsfor huge data and network analysis 3. Algorithm for mobility society The first one discusses mathematical models of pedestrian and traffic flow, as they are important for preventing accidents and achieving efficient transportation.
Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques ; 4th International Conference on Intelligent Computing, ICIC 2008 Shanghai, China, September 15-18, 2008 Proceedings
Constitutes the refereed proceedings of the Fourth International Conference on Intelligent Computing, ICIC 2008, held in Shanghai, China in September 2008.
Advanced Information Systems Engineering ; 20th International Conference, CAiSE 2008 Montpellier, France, June 16-20, 2008 Proceedings
This book constitutes the refereed proceedings of the 20th International Conference on Advanced Information Systems Engineering, CAiSE 2008, held in Montpellier, France, in June 2008.
Advanced Information Systems Engineering ; 19th International Conference, CAiSE 2007, Trondheim, Norway, June 11-15, 2007, Proceedings
CAiSE 2007 was the 19th in the series of International Conferences on Advanced Information Systems Engineering. This year’s conference was located in Trondheim and hosted by the Norwegian University of Science and Technology, with the aim of bringing together practitioners and researchers in the field of information systems engineering. The CAiSE series thereby returned to the city where the third CAiSE conference was held in 1991.The special theme of CAiSE 2007 was “Ubiquitous Information Systems Engineering,” reflecting that modern information systems often span activities performed in several organizations and at different geographical locations.
Advanced Information Systems Engineering ; 18th International Conference, CAiSE 2006, Luxembourg, Luxembourg, June 5-9, 2006, Proceedings
This book constitutes the refereed proceedings of the 18th International Conference on Advanced Information Systems Engineering, CAiSE 2006, held in Luxembourg, in June 2006. The book presents 33 revised full papers together with 3 keynote talks. The papers are organized in topical sections on security, conceptual modeling, queries, document conceptualization, service composition, workflow, business modeling, configuration and separation, business process modeling, agent orientation, and requirements management.
Advanced information systems Engineering ; 17th International conference, CAiSE 2005, Porto, Portugal, June 13-17, 2005, Proceedings
Contains the papers accepted and presented at revised CAiSE 2005 the seventeenth in the series of International Conferences onAdvanced Information Systems. theCAiSE conferences have provided a forum for the presentation and exchange ofresearch results and practical experiences within the field of advanced informa-tion systems engineering. In 2005, .The conference theme of CAiSE 2005 was “Improving Communication andUnderstanding — Systems and Citizens.” Behind this theme, we find the factthat the Internet has been changing societies and economies, and the way in-stitutions and businesses operate has evolved rapidly.
Advanced Information Systems Engineering ; 14th International Conference, CAiSE 2002 Toronto, Canada, May 27-31, 2002 Proceedings
The explosive growth of the Internet and the Web have created a never-growing demand for information systems, and ever-growing challenges for Information Systems Engineering. The series of Conferences on Advanced Information S- tems Engineering (CAiSE) was launched in Scandinavia by Janis Bubenko and Arne Solvberg in 1989, became an important European conference, and was held annually in major European sites throughout the 1990s. Now, in its 14th year, CAiSE was held for the first time outside Europe, showcasing international research on information systems and their engineering. Not surprisingly, this year the conference enjoyed unprecedented attention.
Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms : A Practical Approach Using Python
Describes the deep learning models and ensemble approaches applied to decision-making problems. The authors have addressed the concepts of deep learning, convolutional neural networks, recurrent neural networks, and ensemble learning in a practical sense providing complete code and implementation for several real-world examples. The authors of this book teach the concepts of machine learning for undergraduate and graduate-level classes and have worked with Fortune 500 clients to formulate data analytics strategies and operationalise these strategies.
Advanced Data Warehouse Design : From Conventional to Spatial and Temporal Applications
This book serves as an introduction to the state of the art on data warehouse design, with many references to more detailed sources. Providing a clear and a concise presentation of the major concepts and results of data warehouse design, it can also be used as the basis of a graduate or advanced undergraduate course.
Advanced data mining and applications ; Vol. 4093 : 2nd International Conference, ADMA 2006, Xi'an, China, August 14-16, 2006, Proceedings
This book constitutes the refereed proceedings of the Second International Conference on Advanced Data Mining and Applications, ADMA 2006, held in Xi'an, China in August 2006. The 41 revised full papers and 74 revised short papers presented together with 4 invited papers were carefully reviewed and selected from 515 submissions. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, text mining, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, security and privacy issues, spatial data mining, and streaming data mining.
Advanced data mining and applications ; Vol. 3584 ; 1st International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005, Proceedings
This book constitutes the refereed proceedings of the First International Conference on Advanced Data Mining and Applications, ADMA 2005, held in Wuhan, China in July 2005. The 25 revised full papers and 75 revised short papers presented were carefully peer-reviewed and The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, text mining, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, security and privacy issues, spatial data mining, and streaming data mining.
Advanced Autonomic Networking and Communication
This book presents a comprehensive reference of state-of-the-art efforts and early results in the area of autonomic networking and communication.
Advanced artificial intelligence models and its applications
The field of artificial intelligence (AI) has undergone enormous expansion since its inception in the mid-20th century, as demonstrated by its application across an array of engineering and scientific challenges. Particularly in the last decade, AI has witnessed a significant breakthrough with the advent of deep learning, which has facilitated the employment of various AI models across a multitude of domains. This reprint features ten papers accepted for publication in the Special Issue titled "Advanced Artificial Intelligence Models and Their Applications," published in the MDPI Mathematics journal. These papers explore numerous facets of advanced artificial intelligence models and their applications, covering areas such as cybersecurity, image classification, logistics optimization, automatic music generation, human capital investment, writer recognition, remote sensing image indexing, target tracking, and more.
