IEEE

Learning-Based Slip Detection and Fine Control Using the Tactile Sensor for Robot Stable Grasping

Abstract: Slip detection and control is critical to achieving stable grasping in robotics. However, accurate and robust slip detection and control remains a challenging task. This letter proposes a ...
IEEE

Detection of Glaucoma Using A CNN-Based Hybrid Model with Color Fundus Images

Abstract: Glaucoma is a disease of the eye that damages the optic nerve, often as a result of fluid buildup in the front part of the eye. Elevated intraocular pressure due to this accretion may cause ...
Scientific Research Publishing

Yoon, B.W., Lim, S.H., Shin, J.H., Lee, J.W., Lee, Y. and Seo, J.H. (2021) Analysis of Oral Microbiome in Glaucoma Patients Using Machine Learning Prediction Models. Journal of ...

ABSTRACT: Fecal microbiota transplantation (FMT) has evolved from ancient Chinese medicine to a modern therapeutic intervention, gaining recognition in 1958 for treating pseudomembranous colitis.
Nature

Machine-learning model generates images using light

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...
GitHub

retinal-imaging

Deep learning–based Glaucoma detection using CNN, Transfer Learning, and NSGA-II optimization, with a Flask web app for real-time predictions and Grad-CAM visualizations.