Research, Curriculum and Grading: New Data Sheds Light on How Professors are Using AI
Kasun is one of an increasing number of higher education faculty using generative AI models in their work. One national...
data
Data-efficient Quantum Noise Modeling Via Machine Learning Enables Accurate Noise Models From Existing Data
Predicting and mitigating errors represents a major challenge in harnessing the power of quantum computers, and accurate noise models are...
University english teaching evaluation using artificial intelligence and data mining technology
Research background and motivationsIn higher education, English teaching is considered a crucial subject, and its teaching quality and assessment effectiveness...
MESM: integrating multi-source data for high-accuracy protein-protein interactions prediction through multimodal language models | BMC Biology
DatasetIn this study, we utilized multi-label protein–protein interaction data from SHS27k, SHS148k , SYS30k, and SYS60k datasets to evaluate the...
The data visualization and intelligent text analysis for effective evaluation of English language teaching
Datasets collectionThis study evaluates the effect of English language teaching, and collects student data from multiple dimensions, including students’ personal...
Effective data selection via deep learning processes and corresponding learning strategies in ultrasound image classification
True datasetFive networks were trained on the original dataset to classify the training data into four categories: TP, TN, FP,...
