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Many aspects of Nature, Biology or even from Society have become part of the techniques and algorithms used in computer science or they have been used to enhance or hybridize several techniques through the inclusion of advanced evolution, cooperation or biologically based additions. The previous NICSO workshops were held in Granada, Spain, 2006, Acireale, Italy, 2007, and in Tenerife, Spain, 2008. As in the previous editions, NICSO 2010, held in Granada, Spain, was conceived as a forum for the latest ideas and the state of the art research related to nature inspired cooperative strategies. The contributions collected in this book cover topics including nature-inspired techniques like Genetic Algorithms, Evolutionary Algorithms, Ant and Bee Colonies, Swarm Intelligence approaches, Neural Networks, several Cooperation Models, Structures and Strategies, Agents Models, Social Interactions, as well as new algorithms based on the behaviour of fireflies or bats.
Honors Professor Antoni Mazurkiewicz, who during his long scientific career made fundamental contributions to theoretical computer science. This book includes contributions, which span a range of research areas, including the theory of programming, models of concurrent and distributed systems, and (de)composition methods for Pietri nets.
The two-volume set LNAI 8856 and LNAI 8857 constitutes the proceedings of the 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, held in Tuxtla, Mexico, in November 2014. The total of 87 papers plus 1 invited talk presented in these proceedings were carefully reviewed and selected from 348 submissions. The first volume deals with advances in human-inspired computing and its applications. It contains 44 papers structured into seven sections: natural language processing, natural language processing applications, opinion mining, sentiment analysis, and social network applications, computer vision, image processing, logic, reasoning, and multi-agent systems, and intelligent tutoring systems. The second volume deals with advances in nature-inspired computation and machine learning and contains also 44 papers structured into eight sections: genetic and evolutionary algorithms, neural networks, machine learning, machine learning applications to audio and text, data mining, fuzzy logic, robotics, planning, and scheduling, and biomedical applications.
This handbook is intended to help the physician and sonographer to learn echo concepts and techniques in a "user friendly" way, to help them perform studies and understand concepts in order to collect as much clinically useful information as possible on an individual patient. This book is written as a very practical and easy to read manual. Each chapter highlights the various aspects of echocardiography. Practical tips are displayed throughout the book. This text is well illustrated with 165 photographs and graphical illustrations. It will be useful to the echocardiographer and sonographer for practical guidance into performing a thorough goal-orientated study for a particular problem and for the physician/cardiologist in developing the interpretation.
As technologies are fast advancing, the importance of text detection and recognition is receiving special attention from the researchers. Thus, one can see several real-time applications of video text processing which requires cognitive-based methods to find a solution. The main applications are (1) retrieving and indexing video based on semantic of the content of the video, (2) machine translation to assist foreigners, (3) assisting blind people to walk on the road freely without aid, (4) automatic vehicle driving, (5) license plate tracing to catch vehicles which violate the traffic signals, (6) monitoring the images posted on social media based on text and content of the images, (7) identifying the location based on the address of the street and shops, etc., (8) tracing players in the sports based on the jersey/bib number or text, and (9) in the same way, tracing the bib number in case of marathon and other events. For the above-mentioned applications, text detection and recognition in video and natural scene images is an integral part of the system.
This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Bio-Inspired Models of Network, Information and Computing Systems (Bionetics 2012), held in Lugano, Switzerland, in December 2012. The 23 revised full papers presented were carefully reviewed and selected from 40 submissions. They cover topics such as networking, robotics and neural networks, molecular scale and bioinformatics, optimization and bio-inspired modeling in various fields.
Reprint of the original, first published in 1868.
Elias Hanna and D. Luke Glancy provide an in-depth understanding of waveforms and tracings seen in varous disease states as well as pathophysiology behind those findings. Practical issues that are rarely discussed or focused upon in textbooks are highlighted in this book with detailed waveform analysis. Caveats in the hemodynamic assessment of valvular diseases, constriciion, tamponade, pulmonary hypertension, shunt pathology, and right and left ventricular failure are provided. This book also provides case-based and tracing-based quizzes. The reader wil learn to identify disease states and waveform subtleties from single tracings or from case studies. The reader will take the initiative to interpret tracings, understand notches, artifacts, and formulate a diagnosis. This book will feature: Complete presentation of basic and advanced hemodynamics. Numerous case studies allow the reader to learn real-life application of hemodynamic data in clinical decision-making. Quizzes and explanations provides the reader with self-assessment and problem solving skills Over 300 illustrations with detailed discussion.
This book presents the latest insights and developments in the field of socio-cultural inspired algorithms. Akin to evolutionary and swarm-based optimization algorithms, socio-cultural algorithms belong to the category of metaheuristics (problem-independent computational methods) and are inspired by natural and social tendencies observed in humans by which they learn from one another through social interactions. This book is an interesting read for engineers, scientists, and students studying/working in the optimization, evolutionary computation, artificial intelligence (AI) and computational intelligence fields.