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Leveraging SERS and Transformer Models for Simultaneous Detection of Multiple Pesticides in Fresh Produce.
ACS Appl Mater Interfaces
December 2024
Food Science Program, University of Missouri, Columbia, Missouri 65211, United States.
The widespread use of pesticides in agriculture poses food safety and environmental risks, highlighting the need for rapid detection techniques to mitigate contamination. Surface-enhanced Raman spectroscopy (SERS) coupled with machine learning provides a powerful approach for the detection and quantification of multiple pesticides in agricultural products. This study introduces the SERSFormer-2.
View Article and Find Full Text PDFInterpretable Multi-Label Classification for Tibiofibula Fracture 2D CT Images with Selective Attention and Data Augmentation.
Diagnostics (Basel)
December 2024
Department of Computer Science, Chungbuk National University, Cheongju 28644, Republic of Korea.
Background: Tibiofibula fractures occur across all age groups, and postoperative complications are frequent. An accurate and rapid classification methodology for these fractures could significantly assist physicians. Clinically, tibiofibula fractures occur at various locations, and the fracture types are not evenly distributed.
View Article and Find Full Text PDFText-Enhanced Graph Attention Hashing for Cross-Modal Retrieval.
Entropy (Basel)
October 2024
College of Computer Science and Technology, Xinjiang University, Urumqi 830046, China.
Deep hashing technology, known for its low-cost storage and rapid retrieval, has become a focal point in cross-modal retrieval research as multimodal data continue to grow. However, existing supervised methods often overlook noisy labels and multiscale features in different modal datasets, leading to higher information entropy in the generated hash codes and features, which reduces retrieval performance. The variation in text annotation information across datasets further increases the information entropy during text feature extraction, resulting in suboptimal outcomes.
View Article and Find Full Text PDFAutomatic lung cancer subtyping using rapid on-site evaluation slides and serum biological markers.
Respir Res
October 2024
Department of Respiratory Endoscopy, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: Rapid on-site evaluation (ROSE) plays an important role during transbronchial sampling, providing an intraoperative cytopathologic evaluation. However, the shortage of cytopathologists limits its wide application. This study aims to develop a deep learning model to automatically analyze ROSE cytological images.
View Article and Find Full Text PDFMachine learning and deep learning-based approach to categorize Bengali comments on social networks using fused dataset.
PLoS One
October 2024
School of Information and Technology, Deakin University, Geelong Warun Ponds, Australia.
Through the advancement of the contemporary web and the rapid adoption of social media platforms such as YouTube, Twitter, and Facebook, for example, life has become much easier when dealing with certain highly personal problems. The far-reaching consequences of online harassment require immediate preventative steps to safeguard psychological wellness and scholarly achievement via detection at an earlier stage. This piece of writing aims to eliminate online harassment and create a criticism-free online environment.
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