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In Current medical imaging
RESULTS AND CONCLUSION :
Angulakshmi M Deepa M
Architecture, Brain Tumour, Classification, Deep Learning, MRI, challenges.
Designing a hybrid reinforcement learning based algorithm with application in prediction of the COVID-19 pandemic in Quebec.
In Annals of operations research
Khalilpourazari Soheyl, Hashemi Doulabi Hossein
COVID-19 pandemic, Machine learning, Reinforcement learning, SARS-Cov-2, SIDARTHE
Deep Learning for Discussion-Based Cross-Domain Performance Prediction of MOOC Learners Grouped by Language on FutureLearn.
In Arabian journal for science and engineering
Duru Ismail, Sunar Ayse Saliha, White Su, Diri Banu
Deep learning, English as a second language, FutureLearn, MOOCs, Natural language processing, Predictive models
In Plastic and reconstructive surgery. Global open ; h5-index 27.0
Elfanagely Omar, Mellia Joseph A, Othman Sammy, Basta Marten N, Mauch Jaclyn T, Fischer John P
In Bio-design and manufacturing
Wang Pengju, Sun Yazhou, Shi Xiaoquan, Shen Huixing, Ning Haohao, Liu Haitao
3D printing, Modeling methods, Print materials, Tissue engineering, Vascular scaffolds
In Healthcare technology letters
K Sanjana, V Sowmya, E A Gopalakrishnan, K P Soman
CU-ventricular tachycardia data, ECG signal, MIT-BIH malignant ventricular ectopy database, RCNN model, atrial fibrillation, cardiac diseases, cardiovascular system, convolutional neural nets, deep learning architectures, deep learning model, deep learning models, diseases, electrocardiogram signal, electrocardiography, learning (artificial intelligence), medical signal processing, signal classification, sinus tachycardia, tachycardia disease, ventricular fibrillation