M. Ianculescu, Lidia Bajenaru, Ion Alexandru Marinescu, C. Dobre
{"title":"Intelligent solutions - based framework for digital public services. A case study for smart transportation","authors":"M. Ianculescu, Lidia Bajenaru, Ion Alexandru Marinescu, C. Dobre","doi":"10.1109/ECAI46879.2019.9042157","DOIUrl":null,"url":null,"abstract":"Digital technology landscape is continuously improving, dragging along both the transformation of public services and new demands of citizens. Emerging new technologies like Artificial Intelligence, Machine Learning, Deep Learning or Internet of Things provide tremendous means to implement intelligent solutions for reshaping digital public services. This paper aims to disclose the most important features of several intelligent technologies and of these types of public services that can be integrated for providing new capabilities. An AI-based architecture for supporting digital public services in the smart transportation sector is presented in order to demonstrate the highlighted ideas and concepts.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECAI46879.2019.9042157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Digital technology landscape is continuously improving, dragging along both the transformation of public services and new demands of citizens. Emerging new technologies like Artificial Intelligence, Machine Learning, Deep Learning or Internet of Things provide tremendous means to implement intelligent solutions for reshaping digital public services. This paper aims to disclose the most important features of several intelligent technologies and of these types of public services that can be integrated for providing new capabilities. An AI-based architecture for supporting digital public services in the smart transportation sector is presented in order to demonstrate the highlighted ideas and concepts.
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