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3D brain image-based Alzheimer's disease detection techniques using fish swarm optimizer's deep convolution Siamese neural network 期刊论文
发表期刊: EXPERT SYSTEMS. 出版年: 2022
作者:  Sampath, Rajaram;  Baskar, Manickam
收藏  |  浏览/下载：68/0  |  提交时间：2022/03/17
3D MRI brain image  Alzheimer's disease  biomarker features  deep convolution Siamese neural network  feature extraction  fish swarm optimizer  image enhancement  segmentation  
Superpixel powered autoencoder technique for detecting dementia 期刊论文
发表期刊: EXPERT SYSTEMS. 出版年: 2021
作者:  Bansal, Deepika;  Khanna, Kavita;  Chhikara, Rita;  Dua, Rakesh Kumar;  Malhotra, Rajeev
收藏  |  浏览/下载：20/0  |  提交时间：2022/02/12
autoencoder  dementia  histogram of oriented gradient  magnetic resonance imaging  superpixel  
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：12/0  |  提交时间：2022/02/12
codec neural network  fusion neural network model  multidimensional constraints variational mode decomposition  photovoltaic power prediction  
Using deep learning for precipitation forecasting based on spatio-temporal information: a case study 期刊论文
发表期刊: CLIMATE DYNAMICS. 出版年: 2021
作者:  Li, Weide;  Gao, Xi;  Hao, Zihan;  Sun, Rong
收藏  |  浏览/下载：55/0  |  提交时间：2021/11/19
Precipitation forecasting  Spatio-temporal information  Deep learning  Feature extraction  Semi-arid area  
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：18/0  |  提交时间：2021/07/30
Groundwater potential mapping  groundwater management  hybrid deep learning  deep boosting  ROC-AUC  artificial intelligence  
Deep learning and boosting framework for piping erosion susceptibility modeling: spatial evaluation of agricultural areas in the semi-arid region 期刊论文
发表期刊: GEOCARTO INTERNATIONAL. 出版年: 2021
作者:  Chen, Yunzhi;  Chen, Wei;  Janizadeh, Saeid;  Bhunia, Gouri Sankar;  Bera, Amit;  Quoc Bao Pham;  Nguyen Thi Thuy Linh;  Balogun, Abdul-Lateef;  Wang, Xiaojing
收藏  |  浏览/下载：12/0  |  提交时间：2021/07/30
Piping erosion  agriculture land use  machine learning  deep boosting  Zarandieh watershed  
Spatial modelling of soil salinity: deep or shallow learning models? 期刊论文
发表期刊: ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. 出版年: 2021
作者:  Mohammadifar, Aliakbar;  Gholami, Hamid;  Golzari, Shahram;  Collins, Adrian L.
收藏  |  浏览/下载：29/0  |  提交时间：2021/07/30
Deep learning models  Shallow machine learning models  Soil salinity spatial maps  Deep convolutional neural networks  
Probability mapping of groundwater contamination by hydrocarbon from the deep oil reservoirs using GIS-based machine-learning algorithms: a case study of the Dammam aquifer (middle of Iraq) 期刊论文
发表期刊: ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH.
作者:  Al-Mayahi, Huda M.;  Al-Abadi, Alaa M.;  Fryar, Alan E.
收藏  |  浏览/下载：7/0  |  提交时间：2021/01/07
Groundwater contamination  Machine learning  Dammam aquifer  Iraq  
Desert mixed seismic noise suppression by using multiple forward models and a supervised deep-learning method 期刊论文
发表期刊: EXPLORATION GEOPHYSICS.
作者:  Dong, Xintong;  Wang, Hongzhou;  Zhong, Tie;  Li, Yue
收藏  |  浏览/下载：1/0  |  提交时间：2021/01/07
Image processing  low frequency  seismic exploration  reflection  
Modelling daily soil temperature by hydro-meteorological data at different depths using a novel data-intelligence model: deep echo state network model 期刊论文
发表期刊: ARTIFICIAL INTELLIGENCE REVIEW.
作者:  Alizamir, Meysam;  Kim, Sungwon;  Zounemat-Kermani, Mohammad;  Heddam, Salim;  Shahrabadi, Amin Hasanalipour;  Gharabaghi, Bahram
收藏  |  浏览/下载：0/0  |  提交时间：2021/01/07
Soil temperature  Deep echo state network  Multilayer perceptron neural network  Random forest  M5Prime tree