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In Foods (Basel, Switzerland)
Makino Yoshio, Amino Genki
Brassica oleracea var. italica, computer vision, evaluation, image analysis, machine learning, shelf life, statistical analysis, vegetable
Udrescu Lucreţia, Bogdan Paul, Chiş Aimée, Sîrbu Ioan Ovidiu, Topîrceanu Alexandru, Văruţ Renata-Maria, Udrescu Mihai
drug repurposing, drug–drug similarity network, drug–target interactions, molecular docking, network centrality, network clustering
In SLAS technology
Sekeroglu Boran, Ozsahin Ilker
COVID-19, X-ray, convolutional neural networks, coronavirus, pneumonia
Heavy metal Hg stress detection in tobacco plant using hyperspectral sensing and data-driven machine learning methods.
In Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Yu Keqiang, Fang Shiyan, Zhao Yanru
Canopy, Heavy metal Hg stress, Machine learning methods, Proximal hyperspectral imaging, Tobacco plant
DeepPPSite: A deep learning-based model for analysis and prediction of phosphorylation sites using efficient sequence information.
In Analytical biochemistry
Ahmed Saeed, Kabir Muhammad, Arif Muhammad, Khan Zaheer Ullah, Yu Dong-Jun
Deep Learning, Phosphorylation sites, Post-translation modification, Sequence feature information, Stacked Long Short Term Memory
Real-time artificial intelligence-based histological classification of colorectal polyps with augmented visualization.
In Gastrointestinal endoscopy ; h5-index 72.0
BACKGROUND AND AIMS :
Rodriguez-Diaz Eladio, Baffy György, Lo Wai-Kit, Mashimo Hiroshi, Vidyarthi Gitanjali, Mohapatra Shyam S, Singh Satish K
artificial intelligence, augmented visualization, colorectal neoplasm, colorectal polyps, computer-aided diagnosis, deep learning, endoscopy, histology map, machine learning, near-focus narrow-band imaging, optical biopsy, real-time polyp histology