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兰州大学机构库

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MTLFuseNet: A novel emotion recognition model based on deep latent feature fusion of EEG signals and multi-task learning 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 276
Authors:  Li, R(李睿);  Ren, C(任超);  Ge, Yiqing;  Zhao, Qiqi;  Yang, Yikun;  Shi, Yuhan;  Zhang, XW(张晓炜);  Hu, B(胡斌)
Favorite  |    Submit date：2023/09/04
Biomedical signal processing  Deep learning  Electroencephalography  Electrophysiology  Learning systems  Speech recognition  Auto encoders  Emotion recognition  Feature representation  Features fusions  Generalized models  Model-based OPC  Multitask learning  Recognition models  Spatio-temporal  Spectral feature  
EDC-DTI: An end-to-end deep collaborative learning model based on multiple information for drug-target interactions prediction 期刊论文
JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2023, 卷号: 122
Authors:  Yuan, YN(袁永娜);  Zhang, Yuhao;  Meng, Xiangbo;  Liu, Zhenyu;  Wang, Bohan;  Miao, Ruidong;  Zhang, RS(张瑞生);  Su, W(苏伟);  Liu, Lei
Favorite  |    Submit date：2023/05/25
Classification (of information)  Decoding  Deep learning  Drug interactions  Heterogeneous networks  Learning systems  Collaborative learning model  Deep learning  Drug-target interactions  Drug–target interaction prediction  End to end  Graph attention network  Heterogeneous information  Interaction prediction  Model-based OPC  Predictive performance  
EDC-DTI: An end-to-end deep collaborative learning model based on multiple information for drug-target interactions prediction 期刊论文
JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2023, 卷号: 122
Authors:  Yuan, YN(袁永娜);  Zhang, Yuhao;  Meng, Xiangbo;  Liu, Zhenyu;  Wang, Bohan;  Miao, Ruidong;  Zhang, RS(张瑞生);  Su, W(苏伟);  Liu, Lei
Favorite  |    Submit date：2023/07/18
Classification (of information)  Decoding  Deep learning  Drug interactions  Heterogeneous networks  Learning systems  Collaborative learning model  Deep learning  Drug-target interactions  Drug–target interaction prediction  End to end  Graph attention network  Heterogeneous information  Interaction prediction  Model-based OPC  Predictive performance  
A universal soil–water characteristic curve model based on the particle size distribution and fractal theory 期刊论文
JOURNAL OF HYDROLOGY, 2023, 卷号: 622
Authors:  Zhao, Jianyuan;  Li, Shuangyang;  Wang, C(王冲);  You, Tiantian;  Liu, Xiaoyu;  Zhao, Yongchun
Favorite  |    Submit date：2023/07/18
Fractals  Light transmission  Particle size  Pore structure  Professional aspects  Size distribution  Soil moisture  Weibull distribution  Continuous particle size distribution  Curve modeling  Distribution theory  Fractal theory  Matric suctions  Model-based OPC  Particles-size distributions  The soil-water characteristic curves (SWCC)  Unsaturated soil  Water transport  
Buckley–James boosting model based on extreme learning machine and random survival forests 期刊论文
BIOMETRICAL JOURNAL, 2023, 卷号: 65, 期号: 5
Authors:  Kong, Jianfen;  Zhang, SH(张淑红)
Favorite  |    Submit date：2023/07/18
Adaptive boosting  Knowledge acquisition  Learning systems  Machine learning  Regression analysis  Boosting algorithm  Buckley–james model  Covariates  Ensemble learning  Extreme learning machine  Learning machines  Model-based OPC  Random survival forest  Survival analysis  Survival forests  
Helical model based on artificial neural network for large eddy simulation of compressible wall-bounded turbulent flows 期刊论文
PHYSICS OF FLUIDS, 2023, 卷号: 35, 期号: 4
Authors:  Liu, Wanhai;  Qi, Han;  Shi, Haoyu;  Yu, Changping;  Li, Xinliang
Favorite  |    Submit date：2023/05/25
Atmospheric thermodynamics  Boundary layer flow  Boundary layers  Channel flow  Friction  Kinetic energy  Kinetics  Large eddy simulation  Neural networks  Reynolds number  Turbulence  Artificial neural network methods  Energy cascade  Helicities  Helicity cascades  High robustness  Key process  Large-eddy simulations  Local coefficient  Model-based OPC  Wall-bounded turbulent flows  
Monitoring Land Degradation through Vegetation Dynamics Mathematical Modeling: Case of Jornada Basin (in the U.S.) 期刊论文
Remote Sensing, 2023, 卷号: 15, 期号: 4
Authors:  Chen, Zheng;  Liu, Jieyu;  Qian, Zhonghua;  Li, Li;  Zhang, Zhiseng;  Feng, Guolin;  Ruan, Shigui;  Sun, Guiquan
Favorite  |    Submit date：2023/05/25
Climate change  Climate models  Deterioration  Ecosystems  Remote sensing  Arid ecosystems  Arid lands  Climate feedbacks  Dynamic mathematical modeling  Land degradation  Model-based OPC  Vegetation dynamics  Vegetation feedbacks  Vegetation pattern  Vegetation–climate feedback  
An innovative ensemble model based on multiple neural networks and a novel heuristic optimization algorithm for COVID-19 forecasting 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 212
Authors:  Qu, Zongxi;  Li, Yutong;  Jiang, Xia;  Niu, Chunhua
Favorite  |    Submit date：2023/01/03
Benchmarking  Complex networks  Disease control  Forecasting  Optimization  COVID-19 forecasting  Ensemble forecasting  Ensemble models  Heuristic optimization algorithms  Model-based OPC  Multiple neural networks  Neural-networks  Optimization algorithms  Sine-cosine algorithm    neural network  
Buckley–James boosting model based on extreme learning machine and random survival forests 期刊论文
BIOMETRICAL JOURNAL, 2023
Authors:  Kong, Jianfen;  Zhang, SH(张淑红)
Favorite  |    Submit date：2023/05/25
Adaptive boosting  Knowledge acquisition  Learning systems  Machine learning  Regression analysis  Boosting algorithm  Buckley–james model  Covariates  Ensemble learning  Extreme learning machine  Learning machines  Model-based OPC  Random survival forest  Survival analysis  Survival forests  
The Model to Determine the Depth of Geothermal Wells Under the Dual Carbon Goal 会议论文
Proceedings of SPIE - The International Society for Optical Engineering
Authors:  Wang, Chenyang
Favorite  |    Submit date：2023/07/18
Emission control  Energy policy  Gas emissions  Geothermal fields  Geothermal wells  Infill drilling  Oil well drilling  Carbon emissions  Carbon emissions reductions  Construction process  Dual carbon goal  Energy programs  Model-based OPC  Oil consumption  Renewable energy source  Water consumption  Well water