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Information Technology for Real World Problems

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The role of information technology as a problem solver in multidisciplinary environments is exemplified in Information Technology for Real World Problems through a set of five state-of-the-art papers written by experts from various disciplines. It opens to the readers a window of opportunities for developing systems and solutions that can be applied in socially relevant situations. The objective common to all the papers is to develop an intelligent systems approach to decision making; the approach has been deployed in an interesting mix of domains bioinformatics, health sciences, artificial intelligence and industrial automation. The book would be of interest to students, scientists and academics for the glimpse it provides of the exciting avenues of research that are of practical relevance to humankind.



Contents:

Homology Modelling and Molecular Dynamics of Cyclin-Dependent Protein Kinases Robert A. Selwyne, Kholmirzo T. Kholmurodov and Natalia A. Koltovayaa Use of Information Technology for the Control of Vector-Borne Diseases U. Suryanarayana Murty and V. Sree Hari Rao Knowledge Discovery Approach for Measurement of Mood Fluctuations V. Sree Hari Rao and Vikram K. Yeragani Signal Identification Based on Multiscale Decompositions M. V. Altaisky and V. A. Krylov Robots as Intelligent Machines V. Sree Krishna Chaitanya and I. Sambasiva Rao Index 282

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