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EDCST: Enhanced Density-Aware Cross-Scale Transformer for Robust Object Classification under Atmospheric Fog Conditions

EDCST: Enhanced Density-Aware Cross-Scale Transformer for Robust Object Classification under Atmospheric Fog Conditions

2026

ABSTRACT Atmospheric fog poses critical challenges for computer vision systems in autonomous driving, surveillance, and robotics, where reliable object classi…

Analysis of Forest Cover in the Tumba-Lediima Nature Reserve (RTL-DRC)

Analysis of Forest Cover in the Tumba-Lediima Nature Reserve (RTL-DRC)

2026

Abstract This study analyzes the evolution of forest cover in the Tumba-Lediima Nature Reserve between 2010 and 2022, a period marked by increasing anthropoge…

EDCST-Rain: Enhanced Density-Aware Cross-Scale Transformer for Robust Object Classification Under Diverse Rainfall Conditions

EDCST-Rain: Enhanced Density-Aware Cross-Scale Transformer for Robust Object Classification Under Diverse Rainfall Conditions

2026

Abstract Rain degradation significantly impairs object classification systems, causing accuracy drops of 40-60% under severe conditions and limiting autonom…

Design and Evaluation of an Optimized Random Forest Classification Framework for Tropical Forest Degradation Detection

Design and Evaluation of an Optimized Random Forest Classification Framework for Tropical Forest Degradation Detection

2026

Tropical forest degradation monitoring in resource-constrained environments requires classification approaches that balance predictive accuracy with computatio…

DIAGNOSTIC ASSISTE DES SONS RESPIRATOIRES PAR FUSION MULTIMODALE MFCC-SPECTROGRAMMES AVEC RÉSEAUX DE NEURONES CONVOLUTIFS

DIAGNOSTIC ASSISTE DES SONS RESPIRATOIRES PAR FUSION MULTIMODALE MFCC-SPECTROGRAMMES AVEC RÉSEAUX DE NEURONES CONVOLUTIFS

2026

L'auscultation pulmonaire, bien qu'étant un pilier du diagnostic médical depuis des siècles, souffre d'une variabilité inter-observateurs atteignant 40% même e…

Comparative Evaluation of MFCC and Mel-spectrogram Features for CNN-Based Respiratory Abnormality Detection

Comparative Evaluation of MFCC and Mel-spectrogram Features for CNN-Based Respiratory Abnormality Detection

2026

Automated respiratory sound analysis addresses critical limitations in traditional clinical auscultation, particularly high inter-observer variability and lim…

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