| Vol-3695 urn:nbn:de:0074-3695-9 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# SYSTEM 2023
9th Scholar’s Yearly Symposium of Technology, Engineering and Mathematics 2023

### Proceedings of the 9th Scholar’s Yearly Symposium of Technology, Engineering and Mathematics

### Rome, Italy, December 3-6, 2023.

Edited by

### Rocco Fazzolari *
Alaa Abdulhady Jaber **
Cristian Randieri ***

* University of Rome Tor Vergata, Italy
** University of Technology, Iraq
*** eCampus University, Italy

## Table of Contents

Summary: There were 21 papers submitted for peer-review to this symposium. Out of these, 11 papers were accepted for this volume.

- Detection of DDoS Attacks with Gaussian Mixture Model 1-8
  Alessandro Cecchetto, Giuseppa Conte, Christian Napoli
- The Effectiveness of PCA in KNN, Gaussian Naive Bayes Classifier and SVM for Raisin Dataset 9-16
  Agnieszka Polowczyk, Alicja Polowczyk
- Distance Estimation of Fixed Objects in Driving Environments 17-24
  Giorgio Leporoni, Valerio Ponzi, Francesco Pro, Christian Napoli
- A NLP and YOLOv8-Integrated Approach for Enabling Visually Impaired Individuals to Interpret Their Environment 25-33
  Roberta Avanzato, Lorenzo Mandelli, Cristian Randieri
- Hydrogeological Risk Analysis Using Computer Vision Techniques 34-39
  Maria Grazia Borzì, Ludovica Beritelli, Valerio Francesco Puglisi, Roberta Avanzato, Francesco Beritelli, Salvatore Bellino
- A Fully Automatic Visual Attention Estimation Support System for A Safer Driving Experience 40-50
  Francesca Fiani, Samuele Russo, Christian Napoli
- DPPL Hallway Tracker: Hospital Contact Tracing During the COVID-19 Pandemic 51-61
  Christian Marinoni, Valerio Ponzi, Danilo Comminiello
- Techniques for Recognising and Classifying Environmental Noise Using Deep Learning 62-67
  Ludovica Beritelli, Maria Grazia Borzì, Cristian Randieri, Roberta Avanzato, Francesco Beritelli
- Deep Learning for EEG-Based Motor Imagery Classification: Towards Enhanced Human-Machine Interaction and Assistive Robotics 68-74
  Nejia Boutarfaia, Samuele Russo, Ahmed Tibermacine, Imad Eddine Tibermacine
- A Machine Learning based Real-Time Application for Engagement Detection 75-84
  Emanuele Iacobelli, Samuele Russo, Christian Napoli
- Keeping Eyes on the Road: Understanding Driver Attention and Its Role in Safe Driving 85-95
  Francesca Fiani, Valerio Ponzi, Samuele Russo

2023-05-02: submitted by Cristian Randieri, metadata incl. bibliographic data published under Creative Commons CC0
2023-06-03: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|