2024 RoEduNet Conference: Networking in Education and Research

Session

Doctoral Symposium

DS1

20 Sept 2024, 14:00

Aula EC105 (University POLITEHNICA of Bucharest)

Conveners

Doctoral Symposium

• Florin Pop (University Politehnica of Bucharest, Romania / National Institute for Research & Development in Informatics – ICI Bucharest, Romania)

91. Determining the Degree of Conviction of Students in University Selection Using the Random Forest Algorithm: An Approach for Adaptive and Personalized Decision Support System in Education

Mr Gabriel Petrea (National University of Science and Technology POLITEHNICA Bucharest)

20/09/2024, 14:00

Doctoral Symposium

Paper presentation

In the modern era of technology and Big Data, Machine Learning algorithms are becoming increasingly relevant across various fields, from medicine and finance to education and management. In this context, Machine Learning (ML) stands out as one of the most efficient and versatile methods for data analysis and prediction. The Random Forest algorithm has gained popularity due to its ability...

93. Industrial Teleassistance with the Help of Augmented Reality

Mr Valentin Bobeica (National University of Science and Technology Politehnica Bucharest)

20/09/2024, 14:20

Doctoral Symposium

Paper presentation

This paper details the integration of augmented reality (AR) in a new factory, focusing on enhancing maintenance efficiency and optimization. The innovative approach involves combining AR technology, an Android application, and Siemens PLCs (Programmable Logic Controller), for efficient automation. The robustness of the PLC enables seamless integration within manufacturing environments,...

94. Activation Maps Analysis for Detected Emotions Using a Deep Convolutional Neural Network Ensemble

Mrs Madalina Oana Serghei (National University of Science and Technology Politehnica Bucharest)

20/09/2024, 14:40

Doctoral Symposium

Paper presentation

Emotion detection is a subject of great scientific importance for multiple research fields spanning from medicine to security. This poses a great problem for Computer Vision methods like DCNNs due to the complexity of factors that need to be taken into consideration and the lack of context when determining the correct emotion category, moreover, the difficulty increases when trying to...

97. Increasing e-Health systems security and availability by using noSQL databases

CRISTIAN CONTASEL (University Politehnica of Bucharest)

20/09/2024, 15:00

Doctoral Symposium

Paper presentation

As e-Health systems become more widely used starting with COVID-19 pandemic, the amount of data they collect increases significantly. The volume, diversity, and unpredictability of patient data necessitate distinct storage types for long-term preservation. As a result, one of the primary problems with e-Health systems is making patient data accessible and combined into different styles so that...