Recent advances in artificial intelligence have significantly improved spectral data analysis. In this study, we used unsupervised machine learning to classify chemical compounds based on infrared (IR ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

This project was conducted under the supervision of Dr. Mansoor Fateh at CVLab SHUT, focusing on deep learning and computer vision research. The work utilized Python along with key libraries including ...

Image recognition has become a prominent area of research in recent years, and the development of deep learning models has significantly improved the accuracy of image classification tasks. This paper ...

The correct use of Chinese herbal medicine, including identification and classification, is crucial to the life safety of patients. Recently, deep learning has achieved advanced performance in image ...

Our objective in this article is to provide an approachable, end-to-end guide to help researchers apply image-based machine learning methods effectively to their own research problems. Using a case ...