Publications / Creative Projects

• Enhanced Camouflaged Object Detection for Agricultural Pest Management: Insights from Unified Benchmark Dataset Analysis. Utilized cutting-edge YOLOv8 for camouflaged agricultural pest detection and segmentation, achieving strong performance on largescale datasets and contributing to open-source agricultural technology. Implemented advanced CNN and transformer architectures, including YOLO, RCNN, MirrorNet, ANet, DETR, and ResNet, to enhance detection accuracy. Compiled existing COD datasets to enhance training (IEEE Xplore) Integrating Ensemble Learning into Remote Health Monitoring for Accurate Prediction of Oral and Maxillofacial Diseases. Developed a deep learning-based approach for accurate diagnosis of oral diseases, including mouth ulcers, hypodontia, and dental caries, using over 6,000 annotated RGB images. Achieved up to 97% accuracy by combining VGG16, MobileNet, and InceptionV3 models in an ensemble approach, outperforming traditional X-ray-based methods. (IEEE Xplore):