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Titlebook: Inventive Systems and Control; Proceedings of ICISC V. Suma,Joy Iong-Zong Chen,Haoxiang Wang Conference proceedings 2021 The Editor(s) (if

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書(shū)目名稱(chēng)Inventive Systems and Control
副標(biāo)題Proceedings of ICISC
編輯V. Suma,Joy Iong-Zong Chen,Haoxiang Wang
視頻videohttp://file.papertrans.cn/475/474636/474636.mp4
概述Presents recent innovative research in the field of intelligent systems and control.Discusses the outcomes of ICISC 2021, held in Coimbatore, India.Serves as a reference resource for researchers and p
叢書(shū)名稱(chēng)Lecture Notes in Networks and Systems
圖書(shū)封面Titlebook: Inventive Systems and Control; Proceedings of ICISC V. Suma,Joy Iong-Zong Chen,Haoxiang Wang Conference proceedings 2021 The Editor(s) (if
描述.This book presents selected papers from the 5th International Conference on Inventive Systems and Control (ICISC 2021), held on 7–8 January 2021 at JCT College of Engineering and Technology, Coimbatore, India. The book includes an analysis of the class of intelligent systems and control techniques that utilises various artificial intelligence technologies, where there are no mathematical models and systems available to make them remain controlled. Inspired by various existing intelligent techniques, the primary goal is to present the emerging innovative models to tackle the challenges faced by the existing computing and communication technologies. The proceedings of ICISC 2021 aim at presenting the state-of-the-art research developments, trends, and solutions for the challenges faced by the intelligent systems and control community with the real-world applications. The included research articles feature the novel and unpublished research works on intelligent system representation and control..
出版日期Conference proceedings 2021
關(guān)鍵詞Intelligent Systems; Soft Computing; Automation Systems; Computational Intelligence; Machine Learning; Bi
版次1
doihttps://doi.org/10.1007/978-981-16-1395-1
isbn_softcover978-981-16-1394-4
isbn_ebook978-981-16-1395-1Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Multi-agent Ludo Game Collaborative Path Planning based on Markov Decision Process,on, the execution time as well as the agents’ reward acquisition were examined in different cases. The simulation results reflect the advantages provided by this new algorithm in comparison with related work.
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Design and Development of an Automated Snack Maker with CNN-Based Quality Monitoring,layer and subsequent soft-max layer and classification layer modified to classify input images into three classes. The preset time of frying is changed to optimal value the output of the computer vision system.
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,HOUSEN: Hybrid Over–Undersampling and Ensemble Approach for Imbalance Classification,brid sampling method. The other techniques like random forest, support vector machine (SVM), gradient boost, and AdaBoost algorithms are also used for our analysis. The performance evaluation of the HOUSEN model is conducted over five imbalanced datasets. The HOUSEN model achieved a promising result when compared to existing techniques.
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Meta-Heuristic Algorithm for the Global Optimization: Intelligent Ice Fishing Algorithm, area of ice to find coordinates of local and global maxima of this model. The IIFA algorithm is meta-heuristic, which allows forming on its basis a large number of specific heuristic population-based global optimization algorithms. The article describes the algorithm and presents the results of computational experiments.
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