IEEE

Predicting Student Performance Using Machine Learning Techniques: A Systematic Literature Review

Abstract: Predicting students' academic achievement is a difficult and challenging task, especially with the advancement of machine learning technology. However, despite the belief that learning ...
IEEE

Extended Invalid Action Mask: Training-Time Size-Agnostic Safe Reinforcement Learning for Flexible Job Shop Scheduling Problems

Abstract: The flexible job shop scheduling problem (FJSP) is an NP-hard problem in which machine assignments are additionally considered compared to the classical job shop scheduling problem. It has ...
IEEE

Damaged Artwork Restoration Using Mask R-CNN and CA-GAN

Abstract: Art restoration plays a vital role in preserving cultural heritage and maintaining the beauty and history of damaged artwork. Traditional methods require experts, making the process ...
IEEE

Novel Mask R-CNN Based Mushroom Cluster Tracking in Time-Lapse Images From a Farm Environment

Abstract: This study aims to develop a novel deep learningbased approach to support the automated mushroom growth monitoring using an object tracking algorithm in conjunction with instance ...
IEEE

MCBL-UNet: A Hybrid Mamba-CNN Boundary Enhanced Light-weight UNet for Placenta Ultrasound Image Segmentation

Abstract: The shape and size of the placenta are closely related to fetal development in the second and third trimesters of pregnancy. Accurately segmenting the placental contour in ultrasound images ...