Research

Leveraging Machine Learning Techniques in Converting 2D Floorplans Images to 3D Models

Ibsen Giovanni BAZIE, Boaz N. Nzazia, Jirince K. Biabaa, Tasho Tashevd, Witesyavwirwa V. Kambale, Kyandoghere Kyamakya, Nathanael M. Kasoroa, Selain K. Kasereka

Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2025), 2025

With the growing demand for automation in fields such as architecture, real estate, and digital twin technologies, the ability to efficiently convert 2D floorplan images into accurate 3D structural mo...

DOI

Enhancing Agricultural Supply Chain Traceability with Blockchain Smart Contracts E-Labelling

Ibsen Giovanni BAZIE, , Alidor M. Mbayandjambe, Kevin T. Nguemdjom, Alain M. Kuyunsa, Hervek K. Kabengele , Rajesh Gupta, Tasho Tashev, Kyandoghere Kyamakya, Selain K. Kasereka

Big Data, Knowledge and Control Systems Engineering (BDKCSE), 2025

Africa’s agricultural sector employs over 60% of the continent’s population but faces challenges in product traceability and food security due to limited infrastructure and information asymmetries. Th...

DOIResearch Gate

Enhancing the Robustness of Computer Vision Models to Adversarial Perturbations Using Multi-Scale Attention Mechanisms

Darren Kevin T. Nguemdjom, Alidor M. Mbayandjambe, Grevi B. Nkwimi, Fiston Oshasha, Célestin Muluba, Héritier I. Mbengandji, Ibsen G. BAZIE, Raphael Kpoghomou, Alain M. Kuyunsa

International Journal of Innovative Science and Research Technology, 2025

This study evaluates the effectiveness of integrating multi-scale attention mechanisms, specifically the Bottleneck Attention Module (BAM), into deep learning architectures such as ResNet18 and Squeez...

DOI

Explainable AI (XAI) for Obesity Prediction: An Optimized MLP Approach with SHAP Interpretability on Lifestyle and Behavioral Data

Darren Kevin T. Nguemdjom; Alidor M. Mbayandjambe; Grevi B. Nkwimi; Fiston Oshasha; Célestin Muluba; Héritier I. Mbengandji; Ibsen G. Bazie

International Journal of Innovative Science and Research Technology, 2025

Obesity represents a major public health challenge, requiring accurate and interpretable predictive tools. This study proposes an approach based on a Multilayer Perceptron (MLP) optimized to predict o...

DOI
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