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Areal Precipitation Coverage Ratio for Enhanced AI Modelling of Monthly Runoff: A New Satellite Data-Driven Scheme for Semi-Arid Mountainous Climate 期刊论文
发表期刊: REMOTE SENSING. 出版年: 2022, 卷号: 14, 期号: 2
作者:  Hosseini, Seyyed Hasan;  Hashemi, Hossein;  Fakheri Fard, Ahmad;  Berndtsson, Ronny
收藏  |  浏览/下载：32/0  |  提交时间：2022/03/17
artificial intelligence  data scarcity  GPM-IMERG  k-fold data partitioning  MODIS Terra  NDVI  rainfall  semiarid  soil moisture  streamflow  
Desertification Detection in Makkah Region based on Aerial Images Classification 期刊论文
发表期刊: COMPUTER SYSTEMS SCIENCE AND ENGINEERING. 出版年: 2022, 卷号: 40, 期号: 2, 页码: 607-618
作者:  Said, Yahia;  Barr, Mohammad;  Saidani, Taoufik;  Atri, Mohamed
收藏  |  浏览/下载：34/0  |  提交时间：2021/11/19
Desertification detection  deep learning  convolutional neural networks (CNN)  aerial images classification  Makkah region  
A CAD System for Alzheimer's Disease Classification Using Neuroimaging MRI 2D Slices 期刊论文
发表期刊: COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE. 出版年: 2022, 卷号: 2022
作者:  Sethi, Monika;  Rani, Shalli;  Singh, Aman;  Mazon, Juan Luis Vidal
收藏  |  浏览/下载：0/0  |  提交时间：2024/09/18
Estimation of Atmospheric PM10 Concentration in China Using an Interpretable Deep Learning Model and Top-of-the-Atmosphere Reflectance Data From China's New Generation Geostationary Meteorological Satellite, FY-4A 期刊论文
发表期刊: JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. 出版年: 2022, 卷号: 127, 期号: 9
作者:  Bin Chen;  Song, Zhihao;  Huang, Jianping;  Zhang, Peng;  Hu, Xiuqing;  Zhang, Xingying;  Guan, Xiaodan;  Ge, Jinming;  Zhou, Xingzhao
收藏  |  浏览/下载：0/0  |  提交时间：2024/09/18
PM10  top-of-the-atmosphere reflectance  FY-4A  deep forest model  long-range transport dust  
Desert Soil Salinity Inversion Models Based on Field In Situ Spectroscopy in Southern Xinjiang, China 期刊论文
发表期刊: REMOTE SENSING. 出版年: 2022, 卷号: 14, 期号: 19
作者:  Wang, Yu;  Xie, Modong;  Hu, Bifeng;  Jiang, Qingsong;  Shi, Zhou;  He, Yinfeng;  Peng, Jie
收藏  |  浏览/下载：0/0  |  提交时间：2024/09/18
Vis-NIR in situ spectroscopy  soil salinity  feature bands selection method  deep learning  inversion model  
Spatio-temporal directed acyclic graph learning with attention mechanisms on brain functional time series and connectivity 期刊论文
发表期刊: MEDICAL IMAGE ANALYSIS. 出版年: 2022, 卷号: 77
作者:  Huang, Shih-Gu;  Xia, Jing;  Xu, Liyuan;  Qiu, Anqi
收藏  |  浏览/下载：0/0  |  提交时间：2024/09/18
Brain functional network  Directed acyclic graph  Graph neural network  Attention mechanism  Graph pooling  Multi-scale analysis  
A CNN-LSTM Model Based on a Meta-Learning Algorithm to Predict Groundwater Level in the Middle and Lower Reaches of the Heihe River, China 期刊论文
发表期刊: WATER. 出版年: 2022, 卷号: 14, 期号: 15
作者:  Yang, Xingyu;  Zhang, Zhongrong
收藏  |  浏览/下载：0/0  |  提交时间：2024/09/18
groundwater level prediction  CNN  LSTM  meta-learning  CNN-LSTM-ML  multiple influences  few samples  
A Deep Learning-Based Model for Date Fruit Classification 期刊论文
发表期刊: SUSTAINABILITY. 出版年: 2022, 卷号: 14, 期号: 10
作者:  Albarrak, Khalied;  Gulzar, Yonis;  Hamid, Yasir;  Mehmood, Abid;  Soomro, Arjumand Bano
收藏  |  浏览/下载：0/0  |  提交时间：2024/09/18
date fruit classification  artificial intelligence  convolutional neural networks  transfer learning  
Prediction of short-term photovoltaic power via codec neural network and mode decomposition based deep learning approach 期刊论文
发表期刊: ENERGY SCIENCE & ENGINEERING. 出版年: 2021
作者:  Li, Jie;  Li, RunRan;  Jia, YuanJie;  Zhang, ZhiXin
收藏  |  浏览/下载：15/0  |  提交时间：2022/02/12
codec neural network  fusion neural network model  multidimensional constraints variational mode decomposition  photovoltaic power prediction  
Evaluation efficiency of hybrid deep learning algorithms with neural network decision tree and boosting methods for predicting groundwater potential 期刊论文
发表期刊: GEOCARTO INTERNATIONAL. 出版年: 2021
作者:  Chen, Yunzhi;  Chen, Wei;  Pal, Subodh Chandra;  Saha, Asish;  Chowdhuri, Indrajit;  Adeli, Behzad;  Janizadeh, Saeid;  Dineva, Adrienn A.;  Wang, Xiaojing;  Mosavi, Amirhosein
收藏  |  浏览/下载：21/0  |  提交时间：2021/07/30
Groundwater potential mapping  groundwater management  hybrid deep learning  deep boosting  ROC-AUC  artificial intelligence