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Titlebook: Congress on Intelligent Systems; Proceedings of CIS 2 Harish Sharma,Mukesh Saraswat,Jagdish Chand Bansal Conference proceedings 2021 The Ed

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書(shū)目名稱(chēng)Congress on Intelligent Systems
副標(biāo)題Proceedings of CIS 2
編輯Harish Sharma,Mukesh Saraswat,Jagdish Chand Bansal
視頻videohttp://file.papertrans.cn/236/235526/235526.mp4
概述Includes novel and innovative work from experts, practitioners, scientists and decision-makers.Presents recent research in intelligent systems presented at CIS 2020, New Delhi, India.Serves as a refer
叢書(shū)名稱(chēng)Advances in Intelligent Systems and Computing
圖書(shū)封面Titlebook: Congress on Intelligent Systems; Proceedings of CIS 2 Harish Sharma,Mukesh Saraswat,Jagdish Chand Bansal Conference proceedings 2021 The Ed
描述This book is a collection of selected papers presented at the First Congress on Intelligent Systems (CIS 2020), held in New Delhi, India, during September 5–6, 2020. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human–computer interaction, robotic devices and systems, autonomous vehicles,intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rou
出版日期Conference proceedings 2021
關(guān)鍵詞Intelligent Systems; Machine Vision; Robotics; Computational intelligence; Proceedings CIS 2020
版次1
doihttps://doi.org/10.1007/978-981-33-6984-9
isbn_softcover978-981-33-6983-2
isbn_ebook978-981-33-6984-9Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
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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Estimation of Road Damage for Earthquake Evacuation Guidance System Linked with SNS,age. Rapid evacuation is very important during an earthquake. However, the pathway may be obstructed by obstacles during an earthquake. In this study, we propose an evacuation guidance system to evacuate users from a disaster area by using information from SNS and other sources. In this study, we pr
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Analysis of the Messages from Social Network for Emergency Cases Detection, cases is an urgent and important task. Wide spread of social media may be used in order to detect and manage rescue operations. In this paper, an approach to analysis of public messages from social network for understanding the emergency scenario developing and rescue operation managing is proposed
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Intelligent Simulation of Competitive Behavior in a Business System,ses. As part of the study, such model has been developed which consists in the fact that society is divided into three groups that have different behavioral strategies in different situations: the strategies of “Hawk”, “Dove” and “Law-abiding.” The proposed model is implemented in the MATLAB/Simulin
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Minimizing the Subset of Features on BDHS Dataset to Improve Prediction on Pregnancy Termination, targets to extract out best subset of features to predict pregnancy termination more accurately relative to previous researches. To facilitate this noble purpose, we have carried out an extensive research on Bangladesh Demographic and Health Survey (BDHS) 2014, that find out the most contributing a
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A Classification Model for Software Bug Prediction Based on Ensemble Deep Learning Approach Boostedng this purpose efficiently. Therefore, early stage procedures such as software fault prediction (SFP) are utilized to facilitate the testing process in an optimal way. SFP aims to predict fault-prone components early based on some software metrics (features). Machine learning (ML) techniques have p
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Modeling the Relationship Between Distance and Received Signal Strength Indicator of the Wi-Fi Overseamless ways of communicating with monitoring devices as marine buoys. It is interesting to have wireless communication in situ, but there is no known marine monitoring system that uses this technology as a means of extracting data over the sea. Therefore, this study is based on finding the maximum
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