Publications (5)
COMMUNICATION
IoT Systems Security Enhanced Based on Federated Learning and Blockchain Technology
Manegawindin Léonard Sawadogo, Didier Bassolé, Boureima Zerbo
IoT systems have become very popular in recent years and are present in all areas. They collect and process data that is often sensitive and confidential, making them targets for increasingly sophisticated and frequent attacks.
In the field of IoT cybersecurity, Federated Learning and Blockchain Technology are showing promising results.
In thi(...)
Blockchain, Federated learning, Internet of Things, Field (mathematics), Process (computing), Resource (disambiguation), Data security
AUTRE
Vehicle Routing Optimization for Medical Product Distribution in Regional Capitals of Burkina Faso: A Linear Programming Approach with Gurobi
Saan-Nonnan Olivier Dabire, Boureima Zerbo, Désiré Guel
This study presents a MILP based approach to the Vehicle Routing Problem (VRP) for optimizing medical product distribution in Burkina Faso. The model accounts for critical real-world constraints including restricted areas and road inaccessibility while ensuring equitable service to priority healthcare centers. Implemented using the Gurobi solv(...)
MILP, near-zero
AUTRE
5G-NR PRACH Detection Using an AutoEncoder Under Interference
Ahmed Sawadogo, Désiré Guel, Boureima Zerbo
Efficient detection of the Physical Random Access Channel (PRACH) is vital for reliable initial access in 5G New Radio (5G-NR), yet it remains challenged by intra- and inter-cell interference. This paper proposes a deep learning-based solution leveraging an Autoencoder (AE) trained on synthetic PRACH data under noisy conditions. The model dete(...)
5G, Radio
AUTRE
Emergency Severity Index Protocol with Machine Learning
Manegaouindé Roland Tougma, Boureima Zerbo, Désiré Guel, Salah Idriss Seif Traore, Salifou Napon
Effective triage in emergency departments is vital for optimizing patient outcomes and resource use, especially in resource-limited contexts like Burkina Faso. This study presents an automated triage system using machine learning (ML) to predict patient priority levels and appropriate medical services based on the Emergency Severity Index (ESI(...)
TF-IDF vectorization, XGBoost
AUTRE
A Comparative Study of CDL/TDL Channel Models in 5G-mmWave Networks
Mahamadi Sogoba, Désiré Guel, Boureima Zerbo
Millimeter-wave (mmWave) bands play a key role in 5G New Radio (5G-NR). They provide wider bandwidth and support much higher data rates. However, these bands also bring serious challenges. Signal propagation is more complex and affects system performance. This study fills an important gap. It compares two standard 3GPP channel models: Clustere(...)
5G-mmWave, Millimeter