This book constitutes the refereed proceedings of the Second International Conference on Electronic Governance with Emerging Technologies, EGETC 2023, held in Poznan, Poland, during September 11-12, 2023. The 15 full papers and one short paper presented were thoroughly reviewed and selected from the 76 submissions. This volume focuses on the recent developments in the domain of eGovernment and governance of digital organizations also aims to shed light on the emerging research trends and their applications.
This book constitutes the refereed proceedings of the Second International Conference on Electronic Governance with Emerging Technologies, EGETC 2023, held in Poznan, Poland, during September 11-12, 2023. The 15 full papers and one short paper presented were thoroughly reviewed and selected from the 76 submissions. This volume focuses on the recent developments in the domain of eGovernment and governance of digital organizations also aims to shed light on the emerging research trends and their applications.
Produktdetails
Produktdetails
Communications in Computer and Information Science 1888
Deep Learning Models for Moving Vehicle Detection in Traffic Surveillance Video for Smart City Applications.- Optimizing UAS Missions with Advanced Weather Monitoring and Analysis Software.- Predictive Pricing Model for Shared Economy Ride Applications: Incorporating Latest Data and Factors.- Decision Making Using Statistical Methods for Opening a Training at Continuing Education Centers under Smart Campus Applications.- Evolutionary Algorithms in Crisis Management of Supply Chains to Enhance Global Food Security During War in Ukraine.- Modeling Nations' Decarbonisation Potential.- Scene Classification in Enhanced Remote Sensing Images Using Pre-trained RESNET50 Architecture.- Do Trust and Quality dimensions of Open Government Data (OGD) impact Knowledge Sharing (KS)?: Gender differences.- Usability Evaluation of an Intelligent Mobile Chatbot for Crop Farmers.- Comparative Analysis of E-Government Website Performances of European Countries Using Dynamic Grey Relational Analysis.- FSOL: Financial Document Recommendation Using Hybridized Semantics Oriented Learning.- Enhancing Productiúty in Peru's Pudic Works Value Cha¡n throush AI Mooitorinq: A Parad¡qm Shift.- OISHI: An Ontology Integration Framework for Domains of Socio-Humanitarian Importance incorporating Hybrid Machine Intelligence.- MrignainyA Comparative Study of Machine Learning Models for House Price Prediction and Analysis in Smart Cities.- Improving E-Governance through Application of Hyperautomation.- Prediction of Airline Flow Using Data Analytics Methods.
Deep Learning Models for Moving Vehicle Detection in Traffic Surveillance Video for Smart City Applications.- Optimizing UAS Missions with Advanced Weather Monitoring and Analysis Software.- Predictive Pricing Model for Shared Economy Ride Applications: Incorporating Latest Data and Factors.- Decision Making Using Statistical Methods for Opening a Training at Continuing Education Centers under Smart Campus Applications.- Evolutionary Algorithms in Crisis Management of Supply Chains to Enhance Global Food Security During War in Ukraine.- Modeling Nations' Decarbonisation Potential.- Scene Classification in Enhanced Remote Sensing Images Using Pre-trained RESNET50 Architecture.- Do Trust and Quality dimensions of Open Government Data (OGD) impact Knowledge Sharing (KS)?: Gender differences.- Usability Evaluation of an Intelligent Mobile Chatbot for Crop Farmers.- Comparative Analysis of E-Government Website Performances of European Countries Using Dynamic Grey Relational Analysis.- FSOL: Financial Document Recommendation Using Hybridized Semantics Oriented Learning.- Enhancing Productiúty in Peru's Pudic Works Value Cha¡n throush AI Mooitorinq: A Parad¡qm Shift.- OISHI: An Ontology Integration Framework for Domains of Socio-Humanitarian Importance incorporating Hybrid Machine Intelligence.- MrignainyA Comparative Study of Machine Learning Models for House Price Prediction and Analysis in Smart Cities.- Improving E-Governance through Application of Hyperautomation.- Prediction of Airline Flow Using Data Analytics Methods.
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