Research in Computer Science: 17th African Conference on Research in Computer Science and Applied Mathematics, CARI 2024, Beja?a, Algeria, November 24 [Paperback]

This book constitutes the refereed proceedings of the 17th African Conference on Research in Computer Science and Applied Mathematics, CARI 2024, in Bejaïa, Algeria, in November 23-26, 2024.

The 25 full papers included in this book were carefully reviewed and selected from 90 submissions. The conference covers a range of subjects, including optimization and heuristics, cluster analysis, reactive systems, information security, natural language and speech processing, computer Vision and image processing, machine learning and deep learning.

.- Natural gas consumption forecasting based on weighted ensemble learning.
.- Machine learning trust prediction using localized nodes characteristics.
.- A Data-Driven Wildfire Forecasting: Case study of Algeria.
.- Multi-Aggregation Strategies in Ensemble-Based Machine Learning and Deep Learning Models for Cough-Based COVID-19 Detection.
.- Benchmark Analysis of Time Series Models for Malaria Trends in the Adamawa Region (Cameroon).
.- A low-ressource language dataset: Moore Natural Emotions Speech Dataset.
.- Automatic pure speech files detection using MFCC+F0 features and LSTM classifier in multilingual context for low-resource languages.
.- ShipFPN: New Feature Pyramid Network Architecture for Object Detection in High-Resolution Satellite Images: Application to Ship Detection.
.- New approach based on alliances in graphs for image segmentation: application to breast MR images.
.- Identification of Non-Plant Elements in Herbarium Images Using YOLO.
.- A Service Composition Engine for Incremental Computation.
.- Expressiveness of the LSAWfP Workflow Language Compared to BPMN.
.- Formal Verification of Deep Learning Matrix Calculus.
.- Addressing Input/Output composition through Open Automata representation.
.- Clustering for Performance Optimization in ló2