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Author

Joshua Pinem

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Conference Jul 2026

An Empirical Evaluation of Lightweight YOLO Architectures for Plant Pest Detection

Automated pest detection plays a critical role in supporting agricultural productivity by enabling accurate and efficient recognition of pest species in field conditions. This study presents a comparative evaluation and ablation analysis of four lightweight object detection models, namely YOLOv5n, YOLOv8n, YOLOv11n, an...

Joshua Pinem, Widi Astuti, A. Adiwijaya · 0 citations
Conference Jul 2026

Optimizing InceptionV3 through Network Pruning for Lung Disease Detection in Chest X-Ray Images

Lung disease remains a major global health concern, and accurate diagnosis using chest X-ray images plays a crucial role in supporting effective clinical decision-making. The contribution of this work lies in empirically demonstrating how internal redundancy removal through standard magnitude-based pruning can improve...

Joshua Pinem, Widi Astuti, A. Adiwijaya · 0 citations
Conference Jul 2026

Revisiting Channel and Spatial Attention in ResNet50 for Chest X-ray Classification

Attention mechanisms are widely adopted in convolutional neural networks to improve feature representation, yet their consistent effectiveness in medical image classification remains uncertain. This study systematically evaluates channel and spatial attention mechanisms integrated into a ResNet50 architecture for chest...

Joshua Pinem, Widi Astuti, Adiwijaya · 0 citations

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