Electronic Governance with Emerging Technologies Second International Conference, EGETC 2023, Poznan, Poland, September 11-12, 2023, Revised Selected Papers için kapak resmi
Başlık:
Electronic Governance with Emerging Technologies Second International Conference, EGETC 2023, Poznan, Poland, September 11-12, 2023, Revised Selected Papers
Yazar:
Ortiz-Rodríguez, Fernando. editor.
ISBN:
9783031439407
Basım Bilgisi:
1st ed. 2023.
Fiziksel Tanımlama:
XII, 215 p. 72 illus., 57 illus. in color. online resource.
Seri:
Communications in Computer and Information Science, 1888
İçerik:
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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