
Research in Computer Science
Description
This book constitutes the refereed proceedings of the 7th Conference on Research in Computer Science, CRI 2025, held in Yaounde, Cameroon, during December 16-17, 2025.
The 17 full papers included in this book were carefully reviewed and selected from 62 submissions. They focus on Artificial Intelligence, machine learning, deep learning, and natural language processing; as well as software engineering, image processing, parallel/distributed computing, digital security, recommendation systems, computer networks, operating systems, and numerical optimization.
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Content
.- Graph-based feature selection using personalized Pagerank for supervised learning.
.- Combining Multi-task Cascaded Convolutional Networks and FaceNet for Age classification.
.- Design of a Secure Electronic Voting System in the Cameroonian Context with Hyperledger Fabric 3.0, Biometric Management, and Adaptive Scalability.
.- How Gradient Decoupled Layer improve R-CNN for images segmentation.
.- Autoencoder-Based Incremental Classification for Emerging Classes in Dynamic Environment.
.- FUSIONER: Balancing Multimodal Hate Classification with Hybrid Fusion, Focal Loss, and Latent-Space SMOTE.
.- A multi-LLM explainable food recommendation system based on Deep Learning.
.- Still Malignant if You Were a Woman? Auditing Group and Counterfactual Fairness in Dermatological AI.
.- ADR Operation in a LoRawan Network.
.- Design And Implementation Of An Evolutionary Black Widow-Type Metaheuristic For The Optimisation Of Numerical Functions In Engineering.
.- Spatio-temporal Monitoring of Deforestation Using Polarimetric Radar Imagery from Sentinel-1 Satellite: Case of the Ebo Forest, Littoral Region, Cameroon.
.- Bridging Prediction and Prescription: Case of Counterfactual Explanations of Stacked Models for Corporate CO2 Emission Reduction.
.- Using Mutual Information in GNN to improve Speaker Diarization.
.- State of Forced Alignment for low-resource African languages.
.- RESCAL Algorithm Parallelization for Relational Data Analysis.
.- Group Mutual Exclusion Algorithm Including Deadlines and Priorities.
.- Towards An End-to-End Framework for Data Drift Detection, Analysis, and Adaptation in Online MLOps Pipelines.