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Sentinel-2 Data for Land Use Mapping: Comparing Different Supervised Classifications in Semi-Arid Areas 期刊论文
发表期刊: AGRICULTURE-BASEL. 出版年: 2022, 卷号: 12, 期号: 9
作者:  Abida, Khouloud;  Barbouchi, Meriem;  Boudabbous, Khaoula;  Toukabri, Wael;  Saad, Karem;  Bousnina, Habib;  Chahed, Thouraya Sahli
收藏  |  浏览/下载:13/0  |  提交时间:2024/09/20
sentinel-2  land use mapping  supervised classification  spectral index  machine learning  
Evaluating Three Supervised Machine Learning Algorithms (LM, BR, and SCG) for Daily Pan Evaporation Estimation in a Semi-Arid Region 期刊论文
发表期刊: WATER. 出版年: 2022, 卷号: 14, 期号: 21
作者:  Aghelpour, Pouya;  Bagheri-Khalili, Zahra;  Varshavian, Vahid;  Mohammadi, Babak
收藏  |  浏览/下载:7/0  |  提交时间:2024/09/20
hydrological modeling  machine learning  supervised learning  pan evaporation  hydroinformatics  
OASIS plus : leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortality 期刊论文
发表期刊: BMC MEDICAL INFORMATICS AND DECISION MAKING. 出版年: 2021, 卷号: 21, 期号: 1
作者:  El-Manzalawy, Yasser;  Abbas, Mostafa;  Hoaglund, Ian;  Cerna, Alvaro Ulloa;  Morland, Thomas B.;  Haggerty, Christopher M.;  Hall, Eric S.;  Fornwalt, Brandon K.
收藏  |  浏览/下载:14/0  |  提交时间:2021/07/30
In-hospital mortality prediction  Point-based severity scores  Critical care outcomes  Supervised machine learning  
Fast Brain Volumetric Segmentation from T1 MRI Scans 期刊论文
发表期刊: ADVANCES IN COMPUTER VISION, CVC, VOL 1. 出版年: 2020, 卷号: 943, 页码: 402-415
作者:  Anand, Ananya;  Anand, Namrata
收藏  |  浏览/下载:27/0  |  提交时间:2020/03/23
Magnetic resonance imaging  Supervised machine learning  Neural networks (computer)  Artificial intelligence  Computer vision systems  
Comparison of Implicit vs. Explicit Regime Identification in Machine Learning Methods for Solar Irradiance Prediction 期刊论文
发表期刊: ENERGIES. 出版年: 2020, 卷号: 13, 期号: 3
作者:  McCandless, Tyler;  Dettling, Susan;  Haupt, Sue Ellen
收藏  |  浏览/下载:28/0  |  提交时间:2020/05/22
solar power forecasting  machine learning  artificial intelligence  regression tree  artificial neural networks  unsupervised learning  supervised learning  regime-identification  
Image Segmentation for Dust Detection Using Semi-supervised Machine Learning 会议论文
会议名称: 8th IEEE International Conference on Big Data (Big Data). 会议地点: ELECTR NETWORK. 会议日期: DEC 10-13, 2020
作者:  Yu, Manzhu;  Bessac, Julie;  Xu, Ling;  Gangopadhyay, Aryya;  Shi, Yingxi;  Wang, Jianwu
收藏  |  浏览/下载:15/0  |  提交时间:2021/11/19
dust detection  semi-supervised machine learning  multi-sensor remote sensing  image segmentation  
Fast Brain Volumetric Segmentation from T1 MRI Scans 会议论文
会议名称: Computer Vision Conference (CVC). 会议地点: Las Vegas, NV. 会议日期: APR 25-26, 2019
作者:  Anand, Ananya;  Anand, Namrata
收藏  |  浏览/下载:14/0  |  提交时间:2020/05/22
Magnetic resonance imaging  Supervised machine learning  Neural networks (computer)  Artificial intelligence  Computer vision systems  
Fracture time predictor in mask data preparation using machine learning 会议论文
会议名称: SPIE Photomask Technology Conference. 会议地点: Monterey, CA. 会议日期: SEP 17-19, 2018
作者:  Calderon, Daniel;  Palma, Diego
收藏  |  浏览/下载:19/0  |  提交时间:2019/12/09
Mask Data Preparation  fracturing process  machine learning  regression  Boolean flows  supervised learning  artificial neural networks  MLP  multilayer perceptron  OASIS  
Fracture time predictor in mask data preparation using machine learning 会议论文
会议名称: SPIE Photomask Technology Conference. 会议地点: Monterey, CA. 会议日期: SEP 17-19, 2018
作者:  Calderon, Daniel;  Palma, Diego
收藏  |  浏览/下载:20/0  |  提交时间:2019/12/09
Mask Data Preparation  fracturing process  machine learning  regression  Boolean flows  supervised learning  artificial neural networks  MLP  multilayer perceptron  OASIS  
Automatic LOD0 classification of airborne LiDAR data in urban and non-urban areas 期刊论文
发表期刊: EUROPEAN JOURNAL OF REMOTE SENSING. 出版年: 2018, 卷号: 51, 期号: 1, 页码: 978-990
作者:  Balado, J.;  Diaz-Vilarino, L.;  Arias, P.;  Gonzalez-Desantos, L. M.
收藏  |  浏览/下载:31/0  |  提交时间:2019/11/29
Supervised classification  machine learning  point cloud  big data  laser scanner