Predicting student performance in the future is a crucial behavior prediction problem in education.By predicting student performance, educational experts can provide individualized instruction, optimize the allocation of resources, and develop educational strategies.If the prediction results are unreliable, it is difficult to earn the trust of educ
Abstract Objective To study pathophysiologic pathways in spontaneous preterm birth and possibly the racial disparity associating with maternal and fetal genetic variations, using bioinformatics tools.Methods A large scale candidate gene association study was performed on 1442 SNPs in 130 genes in a case (preterm birth 37 weeks).Both maternal and fe
This paper investigates the Cucker-Smale flocking control problem of leader-follower multiagent systems in the presence of periodic intermittent communication, in which networked agents update the states by communicating with their neighbors during active periods and remain stable during dormancy periods.A distributed update algorithm that Hand Blo
Convolutional neural networks (CNNs) have revolutionized image recognition.Their ability to identify complex patterns, combined with learning transfer techniques, has proven effective in multiple fields, such as image classification.In this article we propose to apply a two-step methodology for image classification tasks.First, apply transfer learn
Automatic recognition of mature fruits in a complex agricultural environment is still a challenge for an autonomous harvesting robot due to various disturbances existing in the background of the image.The bottleneck to robust fruit recognition is reducing influence from two main disturbances: illumination and overlapping.In order to recognize the t