Abstract: This study employs a convolutional neural network (CNN) Efficientnet B0 model to classify soybean seeds into five groups: broken, immature, intact, skin-damaged, and spotted. To enhance ...
Abstract: Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level ...
A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...
Knowledge, data, and research gaps continue to hinder care The 2025 update to the UK’s guidance on vaginal pessaries for pelvic organ prolapse makes an important shift towards a practical, patient ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results