most citedAddressing Challenges in Data Quality and Model Generalization for Malaria Detection

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2025

Optimizing the 4G--5G Migration: A Simulation-Driven Roadmap for Emerging Markets

Desire Guel, Justin Pegd-Windé Kouraogo, Kouka Kouakou Nakoulma

Deploying fifth-generation (5G) networks in emerging markets demands a balance between performance targets and constraints in budget, spectrum, and infrastructure. We use MATLAB si…

cs.LG2024★ 2 cited

Addressing Challenges in Data Quality and Model Generalization for Malaria Detection

Kiswendsida Kisito Kabore, Desire Guel

Malaria remains a significant global health burden, particularly in resource-limited regions where timely and accurate diagnosis is critical to effective treatment and control. Dee…

eess.SP2024

Enhancing 5G-NR mmWave : Phase Noise Models Evaluation with MMSE for CPE Compensation

Desire Guel, Flavien Herve Somda, Boureima Zerbo +1

The rapid development of 5G New Radio (NR) and millimeter-wave (mmWave) communication systems highlights the critical importance of maintaining accurate phase synchronization to en…

eess.SP2024

5G-NR PRACH Detection Performance Optimization in Context of Intra/Inter-Cell Interference

Desire Guel, Pegdwindé Justin Kouraogo, Boureima Zerbo +1

The ever-evolving landscape of wireless communication technologies has led to the development of 5G-NR (5G New Radio) networks promising higher data rates and lower latency. Howeve…

eess.SP2024

5G NR PRACH Detection with Convolutional Neural Networks (CNN): Overcoming Cell Interference Challenges

Desire Guel, Arsene Kabore, Didier Bassole

In this paper, we present a novel approach to interference detection in 5G New Radio (5G-NR) networks using Convolutional Neural Networks (CNN). Interference in 5G networks challen…