Marco Zennaro
Biographic Data
| ID | 6197248 |
|---|---|
| NAME | Marco Zennaro |
| GIVEN NAMES | Marco |
| FAMILY NAME | Zennaro |
| SIGNATURE | ZENNARO M |
| AFFILIATIONS | The Abdus Salam International Centre for Theoretical Physics (ICTP) |
| ORCID | 0000-0002-0578-0830 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
Cybersecurity through the lens of Digital Identity and Data Protection
Rainfall-Induced Landslide Prediction Using Machine Learning Models
Landslides fall under natural, unpredictable and most distractive disasters. Hence, early warning systems of such disasters can alert people and save lives. Some of the recent early warning models make use of Internet of Things to monitor the environmental parameters to predict the disasters. Some other models use machine learning techniques (MLT) to analyse rainfall data along with some internal parameters to predict these hazards. The predictio…
Scientific Measure of Africa's Connectivity
Data on Internet performance and the analysis of its trend can be useful for decision makers and scientists alike. Such performance measurements are possible using the PingER methodology. We use the data thus obtained to quantify the difference in performance between developed and developing countries, sometimes referred to as the "digital divide." Motivated by the recent interest of G8 countries in African development, we particularly focus on t…
Scientific Measure of Africa's Connectivity
Data on Internet performance and the analysis of its trend can be useful for decision makers and scientists alike. Such performance measurements are possible using the PingER methodology. We use the data thus obtained to quantify the difference in performance between developed and developing countries, sometimes referred to as the "digital divide." Motivated by the recent interest of G8 countries in African development, we particularly focus on t…
Rainfall-Induced Landslide Prediction Using Machine Learning Models
Landslides fall under natural, unpredictable and most distractive disasters. Hence, early warning systems of such disasters can alert people and save lives. Some of the recent early warning models make use of Internet of Things to monitor the environmental parameters to predict the disasters. Some other models use machine learning techniques (MLT) to analyse rainfall data along with some internal parameters to predict these hazards. The predictio…
Cybersecurity through the lens of Digital Identity and Data Protection
Computer Science (3 works) · Antecedent (behavioral psychology (1 work) · Authentication (law (1 work) · Business (1 work) · Cloud computing (1 work) · Complex Network Analysis Techniques (1 work) · Computer security (1 work) · Data breach (1 work) · Data mining (1 work) · Data Protection Act 1998 (1 work)