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Intelligent Systems Handbook
ISBN-13: 9781632383044 / Angielski / Twarda / 2015 / 380 str.
Intelligent Systems Handbook
ISBN-13: 9781632383044 / Angielski / Twarda / 2015 / 380 str.
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The field of intelligent systems is growing significantly. This book consists of in-depth elucidations of intelligent systems with wide-spectrum applications, like social and personal biosafety or use of intelligent sensory micro-nanosystems like e-eye, e-tongue and e-nose. Also, efficient information procurement, enhanced knowledge transfer and knowledge management in any media, and modeling its information content with the help of hyper-and meta-heuristics and semantic reasoning will benefit from the systems that have been described in this all-inclusive book. These systems can also be employed in the process of education and in developing the intelligent distributed eLearning architecture, and also in several technical fields, like industrial design, manufacturing and utilization, for example, in precision agriculture, drilling operations, electric power distribution setups, cartography, intelligent building management systems, etc. Moreover, decision-making with the help of fuzzy logic models, computational identification of comprehension uncertainty and the integrated synthesis of aims and means of intelligent behavior biosystems, as well as diagnostic and human support in the healthcare environment have also been made easier.
The field of intelligent systems is growing significantly. This book consists of in-depth elucidations of intelligent systems with wide-spectrum applications, like social and personal biosafety or use of intelligent sensory micro-nanosystems like e-eye, e-tongue and e-nose. Also, efficient information procurement, enhanced knowledge transfer and knowledge management in any media, and modeling its information content with the help of hyper-and meta-heuristics and semantic reasoning will benefit from the systems that have been described in this all-inclusive book. These systems can also be employed in the process of education and in developing the intelligent distributed eLearning architecture, and also in several technical fields, like industrial design, manufacturing and utilization, for example, in precision agriculture, drilling operations, electric power distribution setups, cartography, intelligent building management systems, etc. Moreover, decision-making with the help of fuzzy logic models, computational identification of comprehension uncertainty and the integrated synthesis of aims and means of intelligent behavior biosystems, as well as diagnostic and human support in the healthcare environment have also been made easier.
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