Image Analysis and Recognition


Book Description

This book constitutes the thoroughly refereed proceedings of the 15th International Conference on Image Analysis and Recognition, ICIAR 2018, held in Póvoa de Varzim, Portugal, in June 2018. The 91 full papers presented together with 15 short papers were carefully reviewed and selected from 179 submissions. The papers are organized in the following topical sections: Enhancement, Restoration and Reconstruction, Image Segmentation, Detection, Classication and Recognition, Indexing and Retrieval, Computer Vision, Activity Recognition, Traffic and Surveillance, Applications, Biomedical Image Analysis, Diagnosis and Screening of Ophthalmic Diseases, and Challenge on Breast Cancer Histology Images.




Principles of Intelligent Rail Transit


Book Description

This book systematically expounds on the scientific principles and technologies of Rail Transit Intelligent Technology based on the high development of artificial intelligence theory and technology. The contents include technical principles, theoretical algorithms and practical engineering technologies of intelligent monitoring of rail transit system, intelligent sensing and identification of train power system, intelligent technology in rail transit system operation, intelligent maintenance of carriage environment, etc. It can be used as a textbook or teaching reference book for related fields in universities, including rail transit system, communication, automation, intelligent equipment design and manufacturing, artificial intelligence, computer science and technology, electrical engineering and automation, etc. It is used as an academic reference for professionals in rail transit system design, operation, and maintenance.




Pattern Recognition


Book Description

This book constitutes the proceedings of the 13th Mexican Conference on Pattern Recognition, MCPR 2021, which was planned to be held in Mexico City, Mexico, in June 2021. The conference was instead held virtually. The 35 papers presented in this volume were carefully reviewed and selected from 75 submissions. They are organized in the following topical sections: artificial intelligence techniques and recognition; pattern recognition techniques; neural networks and deep learning; computer vision; image processing and analysis; and medical applications of pattern recognition.










Contourites


Book Description

Contourites are sediments deposited or substantially reworked by bottom currents. The study of contourites is crucial for several fields of fundamental and applied research: paleoclimatology and paleo-oceanography, since these fairly continuous and relatively high-resolution sediments hold the key for priceless information on the variability in circulation patter, current velocity, oceanographic history and basin interconnectivity; hydrocarbon exploration, since accumulation of source rocks may be favored by weak bottom currents, whereas "clean" deep-sea sands may be formed by robust flows; and slope stability, since low-permeability fine-grained contourites facilitate the formation of overpressurized gliding planes when fresh contourites with a high pore-water content becomes rapidly loaded, or when their rigid biosiliceous microfabric collapses due to diagenetic conditions. Despite its significance, this group of sediments is poorly known by the majority of non-specialists. Notwithstanding the growing interest and the intensified research in contourites, a textbook that might also serve as a reference book on contourites was missing until now. This book addresses all aspects of the knowledge in the field of contourites and provides an authoritative and comprehensive coverage of the subject. It also can serve as a standard reference work for non-specialists, and in particular postgraduate students, university teachers and lecturers, researchers and professionals who are seeking an authoritative source of information about contourites. Reviews both theoretical topics and case histories Provides practical advice on multidisciplinary research techniques Provides also nonspecialist users with an intuitively-accessible, cross-referenced, and comprehensive coverage of the knowledge in the field Provides a helpful tool for research in the preparation of classroom lectures




Advances in Artificial Intelligence


Book Description

This book constitutes the refereed joint proceedings of the 7th Ibero-American Conference on AI and the 15th Brazilian Symposium on AI, IBERAMIA-SBIA 2000, held in Atibaia, Brazil in November 2000. The 48 revised full papers presented together with two invited contributions were carefully reviewed and selected from a total of 156 submissions. The papers are organized in topical sections on knowledge engineering and case-based reasoning, planning and scheduling, distributed AI and multi-agent systems, AI in education and intelligent tutoring systems, knowledge representation and reasoning, machine learning and knowledge acquisition, knowledge discovery and data mining, natural language processing, robotics, computer vision, uncertainty and fuzzy systems, and genetic algorithms and neural networks.







Mining Text Data


Book Description

Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.




ABC Traction Recognition


Book Description

The third edition of Colin Marsden's highly successful guide to all the locomotives and multiple units currently operating on Britain's railway network, now brought completely up to date