Σχέδιο/Πρωτόκολλο Διαχείρισης Πιθανά Ύποπτου ή Επιβεβαιωμένου Κρούσματος COVID-19.
Υγειονομικοί υπεύθυνοι τμήματος: Αντώνιος Μορώνης, Δημήτριος Καλύβας

Σχέδιο/Πρωτόκολλο Διαχείρισης Πιθανά Ύποπτου ή Επιβεβαιωμένου Κρούσματος COVID-19.
Υγειονομικοί υπεύθυνοι τμήματος: Αντώνιος Μορώνης, Δημήτριος Καλύβας

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Abstract of doctoral thesis - Giannousis Christos

"Intelligent personal assistants using Artificial Intelligence"

This PhD dissertation aims to study, analyse and develop concepts and techniques of Machine Learning, Deep Learning and Visualization for Big Data, focussing on low computational power The purpose of the proposed research is to develop, test and evaluate techniques and methods for creating structured data and use them to create intelligent assistant entities. Assistants will answer questions using Structured Data that will contain structured within them, all the necessary information about an entity. To do so, the following steps will be followed:
• Study of existing technologies and methods for creating Structured Data.
• Analysis of research results of the technological state of the art
• Investigating Web Crawling solutions for information extraction from the Internet.
• Investigation of methods of combining Structured Data with Intelligent Assistants. (e) Implementation of Structured Data models.
• Debugging

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