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• OAI收割 [41]
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筛选

浏览/检索结果: 共42条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 GWAS-assisted genomic prediction of cadmium accumulation in maize kernel with machine learning and linear statistical methods 期刊论文  OAI收割 JOURNAL OF HAZARDOUS MATERIALS, 2023, 卷号: 441 作者:  Yan, Huili;  Guo, Hanyao;  Xu, Wenxiu;  Dai, Changhua;  Kimani, Wilson   |  收藏  |  浏览/下载：30/0  |  提交时间：2024/03/07 Genomic prediction  Maize Cd accumulation  Machine learning  Linear statistical methods   Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4217-4230 作者:  Li, Lianfa;  Fang, Ying;  Wu, Jun;  Wang, Jinfeng;  Ge, Yong   |  收藏  |  浏览/下载：77/0  |  提交时间：2021/11/05 Bias  deep learning  encoder-decoder  full residual deep network  non-linear regression  prediction of satellite aerosol optical depth (AOD) and PM2.5  spatiotemporal modeling   Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4217-4230 作者:  Li, Lianfa;  Fang, Ying;  Wu, Jun;  Wang, Jinfeng;  Ge, Yong   |  收藏  |  浏览/下载：22/0  |  提交时间：2021/11/05 Bias  deep learning  encoder-decoder  full residual deep network  non-linear regression  prediction of satellite aerosol optical depth (AOD) and PM2.5  spatiotemporal modeling   COMTOP: Protein Residue-Residue Contact Prediction through Mixed Integer Linear Optimization 期刊论文  OAI收割 MEMBRANES, 2021, 卷号: 11, 期号: 7, 页码: 21 作者:  Reza, Md Selim;  Zhang, Huiling;  Hossain, Md Tofazzal   |  收藏  |  浏览/下载：49/0  |  提交时间：2021/12/01 protein residue-residue contact  contact prediction  mixed integer linear programming  machine learning  protein sequence   Integrated phenology and climate in rice yields prediction using machine learning methods 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2021, 卷号: 120, 页码: 11 作者:  Guo, Yahui;  Fu, Yongshuo;  Hao, Fanghua;  Zhang, Xuan;  Wu, Wenxiang   |  收藏  |  浏览/下载：27/0  |  提交时间：2021/03/15 Early mature rice  Machine learning (ML) methods  Multiple linear regression (MLR)  Rice yield prediction  Phenology   Integrated phenology and climate in rice yields prediction using machine learning methods 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2021, 卷号: 120, 页码: 11 作者:  Guo, Yahui;  Fu, Yongshuo;  Hao, Fanghua;  Zhang, Xuan;  Wu, Wenxiang   |  收藏  |  浏览/下载：22/0  |  提交时间：2021/03/15 Early mature rice  Machine learning (ML) methods  Multiple linear regression (MLR)  Rice yield prediction  Phenology   Full-scale linear cutting tests to check and modify a widely used semi-theoretical model for disc cutter cutting force prediction 期刊论文  OAI收割 ACTA GEOTECHNICA, 2020, 卷号: 15, 期号: 6, 页码: 1481-1500 作者:  Pan, Yucong;  Liu, Quansheng;  Liu, Qi;  Liu, Jianping;  Peng, Xingxin   |  收藏  |  浏览/下载：35/0  |  提交时间：2021/05/25 Colorado School of Mines (CSM)  Cutting force prediction  Disc cutter  Linear cutting machine (LCM)  Rock cutting  Tunnel boring machine (TBM)   Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors 期刊论文  OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 5, 页码: 1798-1809 作者:  Luo, Xin;  Wu, Hao;  Yuan, Huaqiang;  Zhou, MengChu   |  收藏  |  浏览/下载：40/0  |  提交时间：2020/08/24 Quality of service  Hidden Markov models  Data models  Training  Web services  Time factors  Latent factor analysis (LFA)  latent factorization of tensor  learning temporal pattern  linear bias (LB)  non-negative latent factorization of tensor  non-negativity constraint  quality-of-service (QoS) prediction   A New Deep Learning Algorithm for Detecting the Lag Effect of Fine Particles on Hospital Emergency Visits for Respiratory Diseases 期刊论文  OAI收割 IEEE ACCESS, 2020, 卷号: 8, 页码: 145593-145600 作者:  Lu, Jiaying;  Bu, Pengju;  Xia, Xiaolin;  Yao, Ling;  Zhang, Zhixin   |  收藏  |  浏览/下载：28/0  |  提交时间：2021/03/18 Fine particles (PM2.5)  respiratory diseases prediction  lag distribution effect  distributed lag non-linear model (DLNM)  long short-term memory (LSTM)   A New Deep Learning Algorithm for Detecting the Lag Effect of Fine Particles on Hospital Emergency Visits for Respiratory Diseases 期刊论文  OAI收割 IEEE ACCESS, 2020, 卷号: 8, 页码: 145593-145600 作者:  Lu, Jiaying;  Bu, Pengju;  Xia, Xiaolin;  Yao, Ling;  Zhang, Zhixin   |  收藏  |  浏览/下载：29/0  |  提交时间：2021/03/18 Fine particles (PM2.5)  respiratory diseases prediction  lag distribution effect  distributed lag non-linear model (DLNM)  long short-term memory (LSTM)