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New Frontiers in Applied Artificial Intelligence ; 21st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2008 Wrocław, Poland, June 18-20, 2008 Proceedings
The 75 revised full papers presented were carefully reviewed and selected from 302 submissions. The papers are organized in topical sections on computer vision, fuzzy system applications, robot and manufacturing, data mining and KDS, neural networks, machine learning, natural language processing, internet application and education, heuristic search, application systems, agent-based system, evolutionary and genetic algorithms, knowledge management, and other applications. The book concludes with 15 contributions from the following special sessions: knowledge driven manufacturing systems, joint session on adaptive networked systems and fuzzy knowledge bases, and software agents and multi-agent systems.
New Challenges in Applied Intelligence Technologies
This book includes 37 chapters which discuss examples of applications of intelligence technologies to five fields, reflecting main streams of practical and scientific interest of computer related community: agent and multi-agent systems; personal assistants and recom mender systems; knowledge modeling and processing; optimization and combinatorial problems; computer and telecommunication systems.
Fundamentals of statistics with fuzzy data
This research monograph presents basic foundational aspects for a theory of statistics with fuzzy data, together with a set of practical applications. Fuzzy data are modeled as observations from random fuzzy sets. Theories of fuzzy logic and of random closed sets are used as basic ingredients in building statistical concepts and procedures in the context of imprecise data, including coarse data analysis. The monograph also aims at motivating statisticians to look at fuzzy statistics to enlarge the domain of applicability of statistics in general.
Flow cytometry in hematopathology : A visual approach to data analysis and interpretation
Although instrumentation and laboratory techniques for flow cytometry (FCM) immunophenotyping of hematopoietic malignancies are well documented, there is relatively little information on how best to perform data analysis, a critical step in FCM testing. In Flow Cytometry in Hematopathology: A Visual Approach to Data Analysis and Interpretation, three physicians highly experienced in laboratory hematopathology and FCM offer a unique systematic approach to FCM data analysis and interpretation based on the visual inspection of dual parameter FCM graphics. This step-by-step approach to optimal FCM data analysis is demonstrated by means of numerous FCM graphics derived from actual well-documented clinical cases.The focus of the additional material is on the TCR-Vb eight-tube kit which has greatly facilitated the evaluation mature T-cell disorders, and on the DNA dye DRAQ5 for improved grading of malignant lymphoma. The authors also include notes on "tricks of the trade" and pitfalls to avoid. The discussion, covering leukemias, lymphomas, and other conditions, moves from simple to complex specimens, with an emphasis on visual pattern analysis.
Finite element methods : Parallel-sparse statics and Eigen-Solutions
FEM, and the associated computer software are widely recognized as some of the most effective tools for solutions of large-scale engineering applications. Efficient equation and eigen-solvers play critical roles in solving these problems. Sparse matrix technologies have evolved and are now mature enough that all popular and commercialized FEM codes have inserted sparse solvers into their software. So far, however, few books include detailed discussion and explanation of sparse equation-solvers and Lanczos domain decomposition (DD) or finite element formulation for parallel computing purposes. The material in Finite Element Methods: Parallel-Sparse Statics and Eigen-Solutions has evolved over the past several years from the author's research work and his graduate courses.
Data Warehousing and Knowledge Discovery ; 9th International Conference, DaWaK 2007, Regensburg, Germany, September 3-7, 2007, Proceedings
Data Warehousing and Knowledge Discovery have been widely accepted as key te- nologies for enterprises and organizations to improve their abilities in data analysis, decision support, and the automatic extraction of knowledge from data. With the exponentially growing amount of information to be included in the decision-making process, the data to be processed become more and more complex in both structure and semantics. Consequently, the process of retrieval and knowledge discovery from this huge amount of heterogeneous complex data constitutes the reality check for research in the area.
Data Warehousing and Knowledge Discovery ; 10th International Conference, DaWaK 2008 Turin, Italy, September 2-5, 2008 Proceedings
This book constitutes the refereed proceedings of the 10th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2008, held in Turin, Italy, in September 2008.
Computational Collective Intelligence ; 12th International Conference, ICCCI 2020, Da Nang, Vietnam, November 30 – December 3, 2020, Proceedings
This volume constitutes the refereed proceedings of the 12th International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November 2020.* The 70 full papers presented were carefully reviewed and selected from 314 submissions. The papers are grouped in topical sections on: knowledge engineering and semantic web; social networks and recommender systems; collective decision-making; applications of collective intelligence; data mining methods and applications; machine learning methods; deep learning and applications for industry 4.0; computer vision techniques; biosensors and biometric techniques; innovations in intelligent systems; natural language processing; low resource languages processing; computational collective intelligence and natural language processing; computational intelligence for multimedia understanding; and intelligent processing of multimedia in web systems.
Linear and Generalized Linear Mixed Models and Their Applications
This book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and it presents an up-to-date account of theory and methods in analysis of these models as well as their applications in various fields. It offers a systematic approach to inference about non-Gaussian linear mixed models. Furthermore, it discusses the latest developments and methods in the field, incorporating relevant updates since publication of the first edition. These include advances in high-dimensional linear mixed models in genome-wide association studies (GWAS), advances in inference about generalized linear mixed models with crossed random effects, new methods in mixed model prediction, mixed model selection, and mixed model diagnostics.
Cell therapy stem cells and regenerative medicine
Provides an overview of cell-based therapy for human diseases including the definition, history, and clinical applications of human stem cells and their use in regenerative medicine. It covers human pluripotent stem cells (human embryonic stem cells and human induced pluripotent stem cells), mesenchymal stem/stromal cells, and hematopoietic stem cells, bone marrow mononuclear cells. In terms of clinical applications, this book also provides an update on recent human trials using these cells to treat various diseases, including neurological disorders, pulmonary dysfunctions, metabolic/endocrine-related diseases, frailty, and cancer treatment. In addition, it discusses the authors’ clinical trial experiences related to these conditions in a clinical setting to provide additional insight into regenerative medicine, especially cell-based therapy.
Agent and Multi-Agent Systems : Technologies and Applications ; 2nd KES International Symposium, KES-AMSTA 2008, Incheon, Korea, March 26-28, 2008. Proceedings
The KES-AMSTA Symposium Series is a sub-series of the KES Conference Series. The aim of the symposium was to provide an international forum for scientific research into the technologies and applications of agent and multi-agent systems.
Agent and multi-agent systems : Technologies and applications ; 1st KES International Symposium, KES-AMSTA 2007, Wroclaw, Poland, May 31-June 1, 2007, Proceedings
The aim of the symposium was to provide an international forum for scientific - search in the technologies and applications of agent and multi-agent systems. Agents and multi-agent systems are related to the modern software which has long been r- ognized as a promising technology for constructing autonomous, complex and intel- gent systems. A key development in the field of agent and multi-agent systems has been the specification of agent communication languages and formalization of - tologies. Agent communication languages are intended to provide standard decla- tive mechanisms for agents to communicate knowledge and make requests of each other, whereas ontologies are intended for conceptualization of the knowledge - main.
Advanced Methods for Inconsistent Knowledge Management
This book presents a unified and systematic description of a wide class of miscellaneous problems of inconsistent knowledge management, analyzed by traditional mathematical methods using relational and logical representations.
