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The purpose of this book is to provide an overview of state-of-the-art methodologies currently utilized for biomedicine and/or bioinformatics-oriented applications. Researchers working in these fields will learn new methods to help tackle their problems.
Computational Intelligence (CI) has been a tremendously active area of - search for the past decade or so. There are many successful applications of CI in many sub elds of biology, including bioinformatics, computational - nomics, protein structure prediction, or neuronal systems modeling and an- ysis. However, there still are many open problems in biology that are in d- perate need of advanced and e cient computational methodologies to deal with tremendous amounts of data that those problems are plagued by. - fortunately, biology researchers are very often unaware of the abundance of computational techniques that they could put to use to help them analyze and understand the data underlying ...
Now in its updated Third Edition, MRI: The Basics is an easy-to-read, clinically relevant introduction to the physics behind MR imaging. The book features large-size, legible equations, state-of-the-art images, instructive diagrams, and questions and answers that are ideal for board review. The American Journal of Radiology praised the previous edition as "an excellent text for introducing the basic concepts to individuals interested in clinical MRI." This edition spans the gamut from basic physics to multi-use MR options to specific applications, and has dozens of new images. Coverage reflects the latest advances in MRI and includes completely new chapters on k-space, parallel imaging, cardiac MRI, and MR spectroscopy.
The publication seeks to establish how information professionals are providing information services in in a sustainable society in an era of information disorder. It also provides the strategic direction to strengthen the global voice of libraries, inspiring and enhancing professional practice as well as enhancing international cooperation and collaboration among LIS educators and practitioners. The contents is divided according to the following key sub-themes that resonate with the title as outlined below: Library and information services in the information age Data and records in an era of information disorder Archives, data curation and preservation in the digital era Data science, analyt...
Rough Sets and Data Mining: Analysis of Imprecise Data is an edited collection of research chapters on the most recent developments in rough set theory and data mining. The chapters in this work cover a range of topics that focus on discovering dependencies among data, and reasoning about vague, uncertain and imprecise information. The authors of these chapters have been careful to include fundamental research with explanations as well as coverage of rough set tools that can be used for mining data bases. The contributing authors consist of some of the leading scholars in the fields of rough sets, data mining, machine learning and other areas of artificial intelligence. Among the list of contributors are Z. Pawlak, J Grzymala-Busse, K. Slowinski, and others. Rough Sets and Data Mining: Analysis of Imprecise Data will be a useful reference work for rough set researchers, data base designers and developers, and for researchers new to the areas of data mining and rough sets.
The 15th International Workshop on Conceptual Structures ICCS 2007 brings together numerous discussions between international groups of researchers from the field of Information and Communications Technology (ICT). At ICCS 2007 some of the world’s best minds in information technology, arts, humanities and social science met to explore novel ways that ICT can augment human intelligence. The workshops include, Rough sets and data mining, and ubiquitous and collaborative computing.
Proceedings of the Artificial Neural Networks in Engineering Conference, November 5-8, 2000, St Louis, Missouri. The 179 papers compiled in this book focus on building smart components to engineering systems currently available. Topics discussed include: Neural Networks, Fuzzy Systems, Complex Systems, Pattern Recognition, Smart Engineering Systems, Evolutionary Programming, Data Mining, Adaptive Control, and Biology and Medicine. Special tenth anniverary edition includes subject and author indices.
The sixth in this series of Annals volumes brings together clinical and basic science researchers from many countries and disciplines in a common forum to address various approaches to neuroprotection. Topics covered include the following: clinical trials; clinical application of neuroprotective approaches; NMDA receptors as mediators of neurotoxicity and neuroprotection; models, mediators, and mechanisms of neurotoxicity and neuroprotection; dietary supplements as neuroprotectants; oxidative stress and approaches to neuroprotection; mitochondria as a target of neurotoxicity and neuroprotection; and genomic approaches. The 35 papers and 10 posters are taken from the Sixth International Conference on Neuroprotective Agents, held in September 2002 in South Carolina.
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