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Smart Techniques for a Smarter Planet : Towards Smarter Algorithms / edited by Manoj Kumar Mishra, Bhabani Shankar Prasad Mishra, Yashwant Singh Patel, Rajiv Misra.

Contributor(s): SpringerLink (Online service) | Mishra, Manoj Kumar., editor literario | Mishra, Bhabani Shankar Prasad., editor literario | Patel, Yashwant Singh., editor literario | Misra, Rajiv., editor literario
Series: (Studies in Fuzziness and Soft Computing, 1434-9922; 374); (Intelligent Technologies and Robotics (Springer-42732)).Publisher: Cham : Imprint: Springer, 2019Description: 1 recurso en línea (XII, 304 páginas).ISBN: 9783030031312.Subject: Optimización matemáticaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Intelligent Computational Techniques for the Better World 2020 -- Optimization of the cropping pattern using Cuckoo Search Technique -- A Review on Epileptic Seizure Detection and Prediction Using Soft Computing Techniques -- Deep learning architectures for Object Detection and Classification -- AI Powered Partially Parallelized Scheme for Multi Factor Authentication -- Performance Measures.
Abstract: This book is intended to provide a systematic overview of so-called smart techniques, such as nature-inspired algorithms, machine learning and metaheuristics. Despite their ubiquitous presence and widespread application to different scientific problems, such as searching, optimization and /or classification, a systematic study is missing in the current literature. Here, the editors collected a set of chapters on key topics, paying attention to provide an equal balance of theory and practice, and to outline similarities between the different techniques and applications. All in all, the book provides an unified view on the field on intelligent methods, with their current perspective and future challenges. .
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Intelligent Computational Techniques for the Better World 2020 -- Optimization of the cropping pattern using Cuckoo Search Technique -- A Review on Epileptic Seizure Detection and Prediction Using Soft Computing Techniques -- Deep learning architectures for Object Detection and Classification -- AI Powered Partially Parallelized Scheme for Multi Factor Authentication -- Performance Measures.

This book is intended to provide a systematic overview of so-called smart techniques, such as nature-inspired algorithms, machine learning and metaheuristics. Despite their ubiquitous presence and widespread application to different scientific problems, such as searching, optimization and /or classification, a systematic study is missing in the current literature. Here, the editors collected a set of chapters on key topics, paying attention to provide an equal balance of theory and practice, and to outline similarities between the different techniques and applications. All in all, the book provides an unified view on the field on intelligent methods, with their current perspective and future challenges. .

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