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The boundaries of singularity theory are broad and vague, connecting the most important applications of mathematics and science with more abstract areas. Optics, robotics, computer vision, Hamiltonian mechanics, bifurcation theory and differential equations are among the variety of topics that benefit from developments in the theory. With singularity theory encompassing more and more applications, Real and Complex Singularities provides insight into the future of this expanding field. Comprising refereed contributions to the Fifth Workshop on Real and Complex Singularities, this volume addresses three important areas related to the broad subject of singularities. The first section deals with...
Paper-Based Analytical Devices for Chemical Analysis and Diagnostics is a valuable source of information for those interested in microfluidics, bioanalytical devices, chemical instrumentation/mechanization, in-field analysis, and more. This book provides a critical review of the scientific and technological progress of paper-based devices, as well as future trends in the field of portable paper-based sensors for chemical analysis and diagnostics directly at point of need. It uniquely focuses on the analytical techniques associated with each type of device, providing a practical framework for any researcher to use while learning how to use new types of devices in their work, deciding which ones are best for their needs, developing new devices, or working toward commercialization. - Reviews the evolution of this area and offers predictions for the future of the field of paper-based analytical devices - Explores the analytical techniques used in development of paper-based devices - Discusses challenges and shortcomings specific to each type of device, helping users and developers to avoid pitfalls
Automatic Text Categorization and Clustering are becoming more and more important as the amount of text in electronic format grows and the access to it becomes more necessary and widespread. Well known applications are spam filtering and web search, but a large number of everyday uses exist (intelligent web search, data mining, law enforcement, etc.) Currently, researchers are employing many intelligent techniques for text categorization and clustering, ranging from support vector machines and neural networks to Bayesian inference and algebraic methods, such as Latent Semantic Indexing. This volume offers a wide spectrum of research work developed for intelligent text categorization and clustering. In the following, we give a brief introduction of the chapters that are included in this book.
This book presents the proceedings of the Fourth International Workshop on Soft Computing as Transdisciplinary Science and Technology (WSTST '05), May 25-27, 2005, Muroran, Japan. It brings together the original work of international soft computing/computational intelligence researchers, developers, practitioners, and users. This proceedings provide contributions to all areas of soft computing including intelligent hybrid systems, agent-based systems, intelligent data mining, decision support systems, cognitive and reactive distributed artificial intelligence (AI), internet modelling, human interface, and applications in science and technology.
This book constitutes the refereed proceedings of the 8th International Conference on Information Management and Big Data, SIMBig 2021, held as a virtual event in December 2021. The 25 revised full papers and 2 revised short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in topical sections on data mining and applications; deep learning and applications; data-driven software engineering; health, NLP, and social media; image processing, machine learning, and semantic web.
Information Tomorrow offers an engaging, provocative, and wide-ranging discussion for systems librarians, library IT workers, library managers and administrators, and anyone working with or interested in technology in libraries.
This book constitutes the refereed proceedings of the 8th International Conference on Information Management and Big Data, SIMBig 2021, held as a virtual event in December 2021. The 25 revised full papers and 2 revised short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in topical sections on data mining and applications; deep learning and applications; data-driven software engineering; health, NLP, and social media; image processing, machine learning, and semantic web.
This carefully edited book presents examples of the successful application of Intelligent Systems techniques to practical problems. The invited contributions, written by international experts in their respective fields, clearly demonstrate what can be achieved when AI systems are used to solve real-world problems. The book covers the field of applied intelligent systems with a broad and deep selection of topics, such as object recognition, robotics, satellite weather prediction, or economics with an industrial focus. This book will be of interest to researchers interested in applied intelligent systems/AI, as well as to engineers and programmers in industry.