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Nature-Inspired Optimization Algorithms: Recent Advances in Natural Computing and Biomedical Applications, Aditya Khamparia, Ashish Khanna, Bao Le Nguyen, Nhu Gia Nguyen


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Автор: Aditya Khamparia, Ashish Khanna, Bao Le Nguyen, Nhu Gia Nguyen
Название:  Nature-Inspired Optimization Algorithms: Recent Advances in Natural Computing and Biomedical Applications
ISBN: 9783110676150
Издательство: Walter de Gruyter
Классификация: ISBN-10: 311067615X
Обложка/Формат: Ebook
Страницы: 168
Вес: 0.00 кг.
Дата издания: 08.02.2021
Серия: Computing & IT
Язык: English
Размер: 24.41 x 16.99 x 1.60 cm
Читательская аудитория: Professional and scholarly
Ключевые слова: Algorithms & data structures,Artificial intelligence,Computer networking & communications,Impact of science & technology on society,Medical equipment & techniques, COMPUTERS / Computer Vision & Pattern Recognition,COMPUTERS / Information Technology,COMPUT
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Поставляется из: Германии
Описание:

This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems.

Today, analysis and processing of data is one of big focuses among researchers community and information society. Due to evolution and knowledge discovery of natural computing, related meta heuristic or bio-inspired algorithms have gained increasing popularity in the recent decade because of their significant potential to tackle computationally intractable optimization dilemma in medical, engineering, military, space and industry fields. The main reason behind the success rate of nature inspired algorithms is their capability to solve problems. The nature inspired optimization techniques provide adaptive computational tools for the complex optimization problems and diversified engineering applications.

Tentative Table of Contents/Topic Coverage:?

- Neural Computation

- Evolutionary Computing Methods

- Neuroscience driven AI Inspired Algorithms

- Biological System based algorithms

- Hybrid and Intelligent Computing Algorithms

- Application of Natural Computing

- Review and State of art analysis of Optimization algorithms

- Molecular and Quantum computing applications

- Swarm Intelligence

- Population based algorithm and other optimizations



Nature-Inspired Optimization Algorithms: Recent Advances in Natural Computing and Biomedical Applications

Автор: Aditya Khamparia, Ashish Khanna, Bao Le Nguyen, Nhu Gia Nguyen
Название: Nature-Inspired Optimization Algorithms: Recent Advances in Natural Computing and Biomedical Applications
ISBN: 3110676060 ISBN-13(EAN): 9783110676068
Издательство: Walter de Gruyter
Рейтинг:
Цена: 141270.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems.

Today, analysis and processing of data is one of big focuses among researchers community and information society. Due to evolution and knowledge discovery of natural computing, related meta heuristic or bio-inspired algorithms have gained increasing popularity in the recent decade because of their significant potential to tackle computationally intractable optimization dilemma in medical, engineering, military, space and industry fields. The main reason behind the success rate of nature inspired algorithms is their capability to solve problems. The nature inspired optimization techniques provide adaptive computational tools for the complex optimization problems and diversified engineering applications.

Tentative Table of Contents/Topic Coverage:?

- Neural Computation

- Evolutionary Computing Methods

- Neuroscience driven AI Inspired Algorithms

- Biological System based algorithms

- Hybrid and Intelligent Computing Algorithms

- Application of Natural Computing

- Review and State of art analysis of Optimization algorithms

- Molecular and Quantum computing applications

- Swarm Intelligence

- Population based algorithm and other optimizations


Recent advances on memetic algorithms and its applications in image processing

Автор: D Jude Hemanth
Название: Recent advances on memetic algorithms and its applications in image processing
ISBN: 9811513619 ISBN-13(EAN): 9789811513619
Издательство: Springer
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Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book includes original research findings in the field of memetic algorithms for image processing applications.

Advances in Nature-Inspired Computing and Applications

Автор: Shishir Kumar Shandilya; Smita Shandilya; Atulya K
Название: Advances in Nature-Inspired Computing and Applications
ISBN: 331996450X ISBN-13(EAN): 9783319964508
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book contains research contributions from leading global scholars in nature-inspired computing. It includes comprehensive coverage of each respective topic, while also highlighting recent and future trends. The contributions provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application. This book has focus on the current researches while highlighting the empirical results along with theoretical concepts to provide a comprehensive reference for students, researchers, scholars, professionals and practitioners in the field of Advanced Artificial Intelligence, Nature-Inspired Algorithms and Soft Computing.


Biomedical Signal Processing: Advances in Theory, Algorithms and Applications

Автор: Naik Ganesh
Название: Biomedical Signal Processing: Advances in Theory, Algorithms and Applications
ISBN: 9811390991 ISBN-13(EAN): 9789811390999
Издательство: Springer
Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book reports on the latest advances in the study of biomedical signal processing, and discusses in detail a number of open problems concerning clinical, biomedical and neural signals.

Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology: Algorithms and Applications, Proceedings of Ic3dit 2

Автор: Kountchev Roumen, Patnaik Srikanta, Shi Junsheng
Название: Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology: Algorithms and Applications, Proceedings of Ic3dit 2
ISBN: 9811538662 ISBN-13(EAN): 9789811538667
Издательство: Springer
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Цена: 204970.00 T
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Описание: This book gathers selected papers presented at the conference "Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology," one of the first initiatives devoted to the problems of 3D imaging in all contemporary scientific and application areas.

Biomedical Applications Based on Natural and Artificial Computing

Автор: Jos? Manuel Ferr?ndez Vicente; Jos? Ram?n ?lvarez-
Название: Biomedical Applications Based on Natural and Artificial Computing
ISBN: 3319597728 ISBN-13(EAN): 9783319597720
Издательство: Springer
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Цена: 74530.00 T
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Описание:

The two volumes LNCS 10337 and 10338 constitute the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, held in Corunna, Spain, in June 2017.

The total of 102 contributions was carefully reviewed and selected from 190 submissions during two rounds of reviewing and improvement. The papers are organized in two volumes, one on natural and artificial computation for biomedicine and neuroscience, addressing topics such as theoretical neural computation; models; natural computing in bioinformatics; physiological computing in affective smart environments; emotions; as well as signal processing and machine learning applied to biomedical and neuroscience applications.

The second volume deals with biomedical applications; mobile brain computer interaction; human robot interaction; deep learning; machine learning applied to big data analysis; computational intelligence in data coding and transmission; and applications.


Advances in Bio-inspired Computing for Combinatorial Optimization Problems

Автор: Camelia-Mihaela Pintea
Название: Advances in Bio-inspired Computing for Combinatorial Optimization Problems
ISBN: 3642401783 ISBN-13(EAN): 9783642401787
Издательство: Springer
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Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book illustrates recent bio-inspired efficient algorithms for solving NP-hard problems. Discusses theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots, variations of the Traveling Salesman Problem and more.

Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

Автор: Carbas Serdar, Toktas Abdurrahim, Ustun Deniz
Название: Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications
ISBN: 9813367725 ISBN-13(EAN): 9789813367722
Издательство: Springer
Цена: 186330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on optimization problems in different fields of engineering optimization applications.

Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications

Автор: Okwu Modestus O., Tartibu Lagouge K.
Название: Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications
ISBN: 3030611108 ISBN-13(EAN): 9783030611101
Издательство: Springer
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Major nature-inspired algorithms discussed in this book include the bee colony algorithm, ant colony algorithm, grey wolf optimization algorithm, whale optimization algorithm, firefly algorithm, bat algorithm, ant lion optimization algorithm, grasshopper optimization algorithm, butterfly optimization algorithm and others.

Nature-Inspired Computing and Optimization: Theory and Applications

Автор: Patnaik Srikanta, Yang Xin-She, Nakamatsu Kazumi
Название: Nature-Inspired Computing and Optimization: Theory and Applications
ISBN: 3319845225 ISBN-13(EAN): 9783319845227
Издательство: Springer
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Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization.

Nature-Inspired Computing Design, Development, and Applications

Автор: Leandro Nunes de Castro
Название: Nature-Inspired Computing Design, Development, and Applications
ISBN: 1466615745 ISBN-13(EAN): 9781466615748
Издательство: Mare Nostrum (Eurospan)
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Цена: 238390.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Explores all the main areas of natural computing, from methods to computationally synthesized natural phenomena, to computing paradigms based on natural materials. This volume is comprised of ideas and research from nature to develop computational systems or materials to perform computation.

Advances in Nature-Inspired Computing and Applications

Автор: Shishir Kumar Shandilya; Smita Shandilya; Atulya K
Название: Advances in Nature-Inspired Computing and Applications
ISBN: 3030071952 ISBN-13(EAN): 9783030071950
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book contains research contributions from leading global scholars in nature-inspired computing. It includes comprehensive coverage of each respective topic, while also highlighting recent and future trends. The contributions provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application. This book has focus on the current researches while highlighting the empirical results along with theoretical concepts to provide a comprehensive reference for students, researchers, scholars, professionals and practitioners in the field of Advanced Artificial Intelligence, Nature-Inspired Algorithms and Soft Computing.



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