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Predicting Writing Styles of Web-Based Materials for Children's Health Education Using the Selection of Semantic Features: Machine Learning Approach.
In JMIR medical informatics ; h5-index 23.0
Xie Wenxiu, Ji Meng, Liu Yanmeng, Hao Tianyong, Chow Chi-Yin
health educational resource development, health linguistics, machine learning, online health education
Automated detection of muscle fatigue conditions from cyclostationary based geometric features of surface electromyography signals.
In Computer methods in biomechanics and biomedical engineering
K Divya Bharathi, P A Karthick, S Ramakrishnan
Fatigue analysis, artificial neural networks, cyclostationarity, geometric features, surface electromyography
In Frontiers in public health
Chen Shi, Paul Rajib, Janies Daniel, Murphy Keith, Feng Tinghao, Thill Jean-Claude
COVID-19, deep learning, epidemic, modeling, multivariate
Machine Learning Derived Blueprint for Rational Design of the Effective Single-Atom Cathode Catalyst of the Lithium-Sulfur Battery.
In The journal of physical chemistry letters ; h5-index 129.0
Lian Zan, Yang Min, Jan Faheem, Li Bo
In Environmental science & technology ; h5-index 132.0
Yuan Xiangzhou, Suvarna Manu, Low Sean, Dissanayake Pavani Dulanja, Lee Ki Bong, Li Jie, Wang Xiaonan, Ok Yong Sik
carbon materials, gas adsorption and separation, gradient boosting decision trees, low carbon technology, machine learning, sustainable waste management
In Medical teacher
Cutrer William B, Spickard W Anderson, Triola Marc M, Allen Bradley L, Spell Nathan, Herrine Steven K, Dalrymple John L, Gorman Paul N, Lomis Kimberly D
Metacognition, active learning, artificial intelligence, clinical informatics, electronic health record, medical education