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Record Nr. |
UNISA996550556303316 |
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Titolo |
Electronic Governance with Emerging Technologies : Second International Conference, EGETC 2023, Poznan, Poland, September 11-12, 2023, Revised Selected Papers / / Fernando Ortiz-Rodríguez [and three others], editors |
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Pubbl/distr/stampa |
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Cham, Switzerland : , : Springer, Springer Nature Switzerland AG, , [2023] |
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©2023 |
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ISBN |
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Edizione |
[First edition.] |
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Descrizione fisica |
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1 online resource (227 pages) |
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Collana |
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Communications in Computer and Information Science Series ; ; Volume 1888 |
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Disciplina |
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Soggetti |
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Computer science |
Internet in public administration |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Intro -- Preface -- Organization -- Contents -- Deep Learning Models for Moving Vehicle Detection in Traffic Surveillance Video for Smart City Applications -- 1 Introduction -- 2 Existing Methods -- 3 Methods Used -- 3.1 Gaussian Mixture Model -- 3.2 Morphological Operation -- 3.3 Convolutional Neural Network -- 4 Experiment Results and Discussions -- 5 Conclusion -- References -- Optimizing UAS Missions with Advanced Weather Monitoring and Analysis Software -- 1 Introduction -- 2 Brief Literature Review -- 3 Problem Definition -- 4 UAS as an Element for the Realization the Industry 4.0 Strategies -- 5 Decision Support Software Based on Operative Meteorological Information -- 6 Conclusion and Final Remarks -- References -- Predictive Pricing Model for Shared Economy Ride Applications: Incorporating Latest Data and Factors -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 4 Experiments and Results -- 5 Conclusion and Future Scope -- References -- Decision Making Using Statistical Methods for Opening a Training at Continuing Education Centers Under Smart Campus Applications -- 1 Introduction -- 2 Related Work -- 3 Statistical Methods -- 4 Case Study -- 4.1 |
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Correlation -- 4.2 Regression -- 4.3 Decision Making -- 5 Conclusion and Discussion -- References -- Evolutionary Algorithms in Crisis Management of Supply Chains to Enhance Global Food Security During War in Ukraine -- 1 Introduction -- 1.1 Overview of Global Food Prices and the Application of Evolutionary Algorithms -- 1.2 Theoretical Foundations and Principles of Evolutionary Algorithms -- 2 Mathematical Models for Transportation Optimization Using Evolutionary Algorithms -- 2.1 Efficient Transportation Planning with Multi-index Transportation Problem -- 2.2 Optimizing Route Planning with Multi-objective Traveling Salesman Problem -- 3 Conclusions -- References. |
Modeling Nations' Decarbonisation Potential -- 1 Introduction -- 1.1 Background -- 2 Related Works -- 3 Methodology -- 3.1 Clustering Method -- 3.2 Secondary Data Analysis -- 4 Results -- 4.1 Results Representation and Clustering Analysis -- 5 Further Discussion -- 6 Conclusions -- References -- Scene Classification in Enhanced Remote Sensing Images Using Pre-trained RESNET50 Architecture -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Input Dataset -- 2.2 Noise Removal and Filtering -- 2.3 Gaussian Filter -- 2.4 Bilateral Filter -- 2.5 Median Filter -- 2.6 RESNET50 Architecture -- 3 Results and Discussion -- 4 Conclusion -- References -- Do Trust and Quality Dimensions of Open Government Data (OGD) Impact Knowledge Sharing (KS)?: Gender Differences -- 1 Introduction -- 2 Related Research -- 2.1 Knowledge Sharing (KS) and Human-Computer Interaction -- 2.2 OGD and Value Derivation and Innovation -- 2.3 Gender and Technology Adoption -- 2.4 Research Objectives -- 3 Research Methodology -- 3.1 Research Model and Hypotheses -- 3.2 Data Collection -- 4 Results -- 4.1 Measurement Model -- 4.2 Structural Model -- 5 Discussion -- 6 Conclusion -- References -- Usability Evaluation of an Intelligent Mobile Chatbot for Crop Farmers -- 1 Introduction -- 2 Related Literature -- 3 Mobile Chatbot Ontology -- 4 System Usability Evaluation Method -- 4.1 Procedure -- 4.2 System Usability Scale (SUS) -- 5 Results and Discussion -- 5.1 Accuracy of Response Generation -- 5.2 Discussions -- 6 Conclusion -- References -- Comparative Analysis of E-Government Website Performances of European Countries Using Dynamic Grey Relational Analysis -- 1 Introduction -- 2 Indicators for Measuring E-Government Website Performance -- 3 Dynamic Grey Relational Analysis -- 4 Measuring the E-Government Website Performance of Countries -- 5 Conclusion -- References. |
FSOL: Financial Document Recommendation Using Hybridized Semantics Oriented Learning -- 1 Introduction -- 2 Related Works -- 3 Proposed System Architecture -- 4 Implementation and Performance Evaluation -- 5 Dataset and Implementation -- 6 Conclusions -- References -- Enhancing Productivity in Peru's Public Works Value Chain Through AI Monitoring: A Paradigm Shift -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results -- 4.1 Perceptions About the Concept of AI in Increasing Productivity in Public Works -- 4.2 Expectations of AI in the Productivity of Public Works -- 4.3 Challenges and Opportunities of AI in the Productivity of Public Works -- 5 Discussion -- 6 Final Comments, Limitations and Future Work -- APPENDICE 1: Questions asked to professionals -- References -- OISHI: An Ontology Integration Framework for Domains of Socio-Humanitarian Importance Incorporating Hybrid Machine Intelligence -- 1 Introduction -- 2 Related Works -- 3 Proposed Architecture -- 4 Performance Evaluation and Result -- 5 Conclusion -- References -- A Comparative Study of Machine Learning Models for House Price Prediction and Analysis in Smart Cities -- 1 Introduction -- 1.1 Research |
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Questions -- 1.2 Inspiration Drawn -- 1.3 Limitations -- 1.4 Importance of Machine Learning in This Project -- 2 Related Work -- 3 Methodology -- 3.1 Dataset Collection -- 3.2 Data Pre-Processing -- 4 Proposed Algorithm -- 4.1 Linear Regression -- 4.2 Random Forest Regression -- 4.3 XG Boost Regression -- 4.4 Voting Regressor -- 5 Results -- 6 Conclusion -- 7 Future Work -- References -- Improving E-Governance Through Application of Hyperautomation -- 1 Introduction -- 2 Research Methodology -- 2.1 Framework for Research Methodology -- 3 Literature Review -- 3.1 E-Governance and Its Challenges -- 3.2 Emergence of Hyperautomation -- 3.3 Components of Hyperautomation. |
3.4 Potential of Hyperautomation in E-Governance -- 3.5 Workflow of Hyperautomation -- 3.6 Case Study of Hyperautomation -- 3.7 Application of Theoretical Framework to a Case Study -- 4 Findings -- 5 Conclusion -- References -- Prediction of Airline Flow Using Data Analytics Methods -- 1 Introduction -- 2 Literature Reviews -- 3 Methodology -- 3.1 Multiple Linear Regression Model -- 3.2 Artificial Neural Networks -- 3.3 Times Series -- 3.4 Decision Tree -- 4 Application of the Methods -- 5 The Obtained Results -- 6 Conclusion -- References -- Author Index. |
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