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Inventive systems and control = proc...
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International Conference on Inventive Systems and Control (2023 :)
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Inventive systems and control = proceedings of ICISC 2023 /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Inventive systems and control/ edited by V. Suma, Pascal Lorenz, Zubair Baig.
其他題名:
proceedings of ICISC 2023 /
其他題名:
ICISC 2023
其他作者:
Suma, V.
團體作者:
International Conference on Inventive Systems and Control
出版者:
Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:
xxviii, 881 p. :ill. (chiefly col.), digital ;24 cm.
內容註:
Optimal placement of phasor measurement units considering channel limits under various contingencies -- Adaptive Deep Recurrent Neural Network Based COVID-19 Healthcare Data Prediction for Early Risk Prediction -- Maximum Decision Support Regression Based Advance Secure Data Encrypt Transmission For Healthcare Data Sharing In The Cloud Computing -- Routing Integrity Mechanism To Prevent Wormhole Attacks In Vehicular Adhoc Networks -- A detailed analysis on spam emails and detection using Machine Learning algorithms -- Advanced Encryption Standard based Encryption for Secured Transmission of Data in Cognitive Radio with Multi-Channels -- Multi energy-harvesting smart water meter design for underground water pipeline leakage detection -- Tensor Flow Model with Hybrid Optimization Algorithm for solving Vehicle Routing Problem -- Authentication key generator for data sharing on cloud- A Review -- Restaurant Quality Analysis: A Machine Learning Approach -- Towards the Implementation of Traffic Engineering in SDN: A Practical Approach -- Real time intrusion detection in connected autonomous vehicles -- Physical Architecture of Linear Feedback Shift Register using Clock Tree Synthesis for Cyber-Physical System -- Detection of Arrhythmia via Electrical Activity of the Heart using AI techniques -- Utilizing Deep Convolutional Neural Networks for Image-Based Plant Disease Detection.
Contained By:
Springer Nature eBook
標題:
Artificial intelligence - Congresses. -
電子資源:
https://doi.org/10.1007/978-981-99-1624-5
ISBN:
9789819916245
Inventive systems and control = proceedings of ICISC 2023 /
Inventive systems and control
proceedings of ICISC 2023 /[electronic resource] :ICISC 2023edited by V. Suma, Pascal Lorenz, Zubair Baig. - Singapore :Springer Nature Singapore :2023. - xxviii, 881 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in networks and systems,v. 6722367-3389 ;. - Lecture notes in networks and systems ;v. 672..
Optimal placement of phasor measurement units considering channel limits under various contingencies -- Adaptive Deep Recurrent Neural Network Based COVID-19 Healthcare Data Prediction for Early Risk Prediction -- Maximum Decision Support Regression Based Advance Secure Data Encrypt Transmission For Healthcare Data Sharing In The Cloud Computing -- Routing Integrity Mechanism To Prevent Wormhole Attacks In Vehicular Adhoc Networks -- A detailed analysis on spam emails and detection using Machine Learning algorithms -- Advanced Encryption Standard based Encryption for Secured Transmission of Data in Cognitive Radio with Multi-Channels -- Multi energy-harvesting smart water meter design for underground water pipeline leakage detection -- Tensor Flow Model with Hybrid Optimization Algorithm for solving Vehicle Routing Problem -- Authentication key generator for data sharing on cloud- A Review -- Restaurant Quality Analysis: A Machine Learning Approach -- Towards the Implementation of Traffic Engineering in SDN: A Practical Approach -- Real time intrusion detection in connected autonomous vehicles -- Physical Architecture of Linear Feedback Shift Register using Clock Tree Synthesis for Cyber-Physical System -- Detection of Arrhythmia via Electrical Activity of the Heart using AI techniques -- Utilizing Deep Convolutional Neural Networks for Image-Based Plant Disease Detection.
This book presents selected papers from the 7th International Conference on Inventive Systems and Control (ICISC 2023), held on January 30-31, 2023, at JCT College of Engineering and Technology, Coimbatore, India. The conference proceedings of ICISC 2023 include an analysis of the class of intelligent systems and control techniques that utilizes various artificial intelligence technologies, where there are no mathematical models and system available to make them remain controlled. Inspired by various existing intelligent techniques, the primary goal of ICISC 2023 proceedings is to present the emerging innovative models to tackle the challenges faced by the existing computing and communication technologies.
ISBN: 9789819916245
Standard No.: 10.1007/978-981-99-1624-5doiSubjects--Topical Terms:
606815
Artificial intelligence
--Congresses.
LC Class. No.: Q334
Dewey Class. No.: 006.3
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Optimal placement of phasor measurement units considering channel limits under various contingencies -- Adaptive Deep Recurrent Neural Network Based COVID-19 Healthcare Data Prediction for Early Risk Prediction -- Maximum Decision Support Regression Based Advance Secure Data Encrypt Transmission For Healthcare Data Sharing In The Cloud Computing -- Routing Integrity Mechanism To Prevent Wormhole Attacks In Vehicular Adhoc Networks -- A detailed analysis on spam emails and detection using Machine Learning algorithms -- Advanced Encryption Standard based Encryption for Secured Transmission of Data in Cognitive Radio with Multi-Channels -- Multi energy-harvesting smart water meter design for underground water pipeline leakage detection -- Tensor Flow Model with Hybrid Optimization Algorithm for solving Vehicle Routing Problem -- Authentication key generator for data sharing on cloud- A Review -- Restaurant Quality Analysis: A Machine Learning Approach -- Towards the Implementation of Traffic Engineering in SDN: A Practical Approach -- Real time intrusion detection in connected autonomous vehicles -- Physical Architecture of Linear Feedback Shift Register using Clock Tree Synthesis for Cyber-Physical System -- Detection of Arrhythmia via Electrical Activity of the Heart using AI techniques -- Utilizing Deep Convolutional Neural Networks for Image-Based Plant Disease Detection.
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