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Artificial intelligence and evolutio...

(1998 :)

Artificial intelligence and evolutionary computations in engineering systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence and evolutionary computations in engineering systemsedited by Subhransu Sekhar Dash ... [et al.].
其他作者:	Dash, Subhransu Sekhar.
團體作者:
出版者:	Singapore :Springer Singapore :2020.
面頁冊數:	xviii, 799 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Artificial intelligence
電子資源:	https://doi.org/10.1007/978-981-15-0199-9
ISBN:	9789811501999$q(electronic bk.)

Artificial intelligence and evolutionary computations in engineering systems
Artificial intelligence and evolutionary computations in engineering systems[electronic resource] /edited by Subhransu Sekhar Dash ... [et al.]. - Singapore :Springer Singapore :2020. - xviii, 799 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.10562194-5357 ;. - Advances in intelligent systems and computing ;176..

Automatic Generation Control Using Novel PD plus FOPI Controller Tuned By Salp Swarm Algorithm -- Plant Disease Identification and Detection Using Support Vector Machines and Artificial Neural Networks -- Efficiency Comparison and Analysis of Pseudo-Random Generators in Network Security -- A Detailed Analysis of Intruders' Activities in the Network through the Real-Time Virtual Honeynet Experimentation -- Global and Local Signed Pressure Force Functions Active Contour Model Based on Entropy -- Optimization of Big Data Using Rough Set Theory and Data Mining for Textile Applications -- Machine Learning Based Device for Visually Impaired Person -- Forest Cover Classification Using Stacking Of Ensemble Learning and Neural Networks -- Predicting the Trends of Price for Ethereum Using Deep Learning Techniques -- Development of a Novel Embedded Board: Canduino -- Sales Demand Forecasting using Lstm Network -- Privacy Enhanced Emotion Recognition Approach for Remote Health Advisory System -- An Effective Approach for Plant Monitoring, Classification and Prediction Using Iot and Machine Learning -- Encrypted Transfer of Confidential Information Using Steganography and Identity Verification Using Face Data -- Intelligent Wireless Sensor Networks for Precision Agriculture -- Mining Of Removable Closed Patterns in Goods Dataset -- Comparative Analysis and Performance of D-STATCOM Device Using PI and Second Order Sliding Mode Control -- Stock Market Prediction Using Long Short Term Memory -- Dragonfly Algorithm for Optimal Allocation of D-STATCOM in Distribution Systems -- SRF Control Algorithm for Five Level Cascaded H-Bridge D-STATCOM in Single Phase Distribution System.

This book gathers selected papers presented at the 4th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the SRM Institute of Science and Technology, Kattankulathur, Chennai, India, from 11 to 13 April 2019. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks.

ISBN: 9789811501999$q(electronic bk.)

Standard No.: 10.1007/978-981-15-0199-9doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

Artificial intelligence and evolutionary computations in engineering systems
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520 $a This book gathers selected papers presented at the 4th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the SRM Institute of Science and Technology, Kattankulathur, Chennai, India, from 11 to 13 April 2019. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks.
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