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CVDNet: A novel deep learning architecture for detection of coronavirus (Covid-19) from chest x-ray images.
In Chaos, solitons, and fractals
Ouchicha Chaimae, Ammor Ouafae, Meknassi Mohammed
COVID-19, Chest X-ray images, Classification, Convolutional neural network, Coronavirus, Deep learning
Technology-related knowledge, skills, and attitudes of pre- and in-service teachers: The current situation and emerging trends.
In Computers in human behavior ; h5-index 125.0
Seufert Sabine, Guggemos Josef, Sailer Michael
And attitudes, Artificial intelligence, Augmentation strategies, Knowledge, Professional development for teachers, Skills, TPACK, Technology
In Biocybernetics and biomedical engineering
Jain Govardhan, Mittal Deepti, Thakur Daksh, Mittal Madhup K
Computer-aided diagnosis, Coronavirus detection, Covid-19, Deep learning, Pneumonia, X-ray
Dual-input convolutional neural network for glaucoma diagnosis using spectral-domain optical coherence tomography.
In The British journal of ophthalmology
Sun Sukkyu, Ha Ahnul, Kim Young Kook, Yoo Byeong Wook, Kim Hee Chan, Park Ki Ho
Glaucoma, Imaging, Macula, Optic Nerve
New interpretable deep learning model to monitor real-time PM2.5 concentrations from satellite data.
In Environment international
Yan Xing, Zang Zhou, Luo Nana, Jiang Yize, Li Zhanqing
Deep learning, Himawari-8, PM(2.5), Satellite
Epstein Ziv, Levine Sydney, Rand David G, Rahwan Iyad
Artificial Intelligence, Computer Science, Economics