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: This study proposes a tourism route optimization algorithm based on reinforcement learning, which achieves multi-objective optimization (such as shortest time, lowest cost, best experience, ...

Using the GBM algorithm to predict the subsequent 3-month OUD risk, the top decile subgroup had a positive predictive value of 3.26%, a negative predictive value of 99.8%, and a number needed to ...