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This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area. Further, it describes techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such applications. Featuring illustrative case studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges.
Agroforestry is an age old practice throughout the world, but its recognition as a science is nearly three decades old. The scientific and systematic research on tree-crop interactions, in India, started in late 1970's and got major support and impetus with the establishment of All India Coordinated Research Project (AICRP) on Agroforestry in 1983 by ICAR. Today AICRP on Agroforestry has its network through out the country. Under AICRP and through the individual efforts of State Agricultural Universities, location specific agroforestry systems has been recommended to suit agro-climatic zones, landholdings and economic status of the region. Though extensive research had been done till date, b...
INTELLIGENT AND SOFT COMPUTING SYSTEMS FOR GREEN ENERGY Written and edited by some of the world’s top experts in the field, this exciting new volume provides state-of-the-art research and the latest technological breakthroughs in next-generation computing systems for the energy sector, striving to bring the science toward sustainability. Real-world problems need intelligent solutions. Across many industries and fields, intelligent and soft computing systems, using such developing technologies as artificial intelligence and Internet of Things, are quickly becoming important tools for scientists, engineers, and other professionals for solving everyday problems in practical situations. This b...
In the 21st century, electric power engineering is going green and smart. In this century, the increasing search for the efficiency, the computational continuous improvement and the development of new effective mathematical methods are three impelling forces for the utilization of optimization in electric power systems. Nowadays, it is unlikely to find an electric company that does not use optimization methods. This kind of processes is utilized in both planning and operation calculations for the generation, transmission and distribution areas of power systems. Electrical engineers face these new operational methods, in some cases without the adequate preparation. This book aims to include some of the present and foreseen applications of the optimization in electric power systems, explained by main experts in the field. Furthermore, this book may serve as state-of-the-art for undergraduate and graduate students worldwide.
This book presents the proceedings of the International Conference on Computational Intelligence 2018 (ICCI 2018). It brings together work by leading scientists, researchers and research scholars from around the globe on all aspects of computational intelligence. The work is mainly composed of the original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of computational intelligence. Specifically, the major topics covered include classical computational intelligence models and artificial intelligence, neural networks and deep learning, evolutionary swarm and particle algorithms, hybrid systems optimization, constraint programming, human–machine interaction, computational intelligence for web analytics, robotics, computational neurosciences, neurodynamics, bioinspired and biomorphic algorithms, cross-disciplinary topics and applications.
This eighth volume in the series covering the latest results in the field includes nearly 700 abstracts of papers which appeared between the publication of Annual Retrospective VII (Volumes 233-234) and the end of November 2005 (allowing for vagaries of journal availability).