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16101
Time-series forecasting of microbial fuel cell energy generation using deep learning
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16102
Uncertainty evaluation and model optimization in multi-source reservoir modeling
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16103
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16107
Accelerating Biologics PBPK Modelling with Automated Model Building: A Tutorial
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16108
Autonomous Tracking of Steel Lazy Wave Risers Using a Hybrid Vision–Acoustic AUV Framework
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16109
Revisiting the "satisfaction of spatial restraints" approach of MODELLER for protein homology modeling.
Published 2019-12-01“…The most frequently used approach for protein structure prediction is currently homology modeling. The 3D model building phase of this methodology is critical for obtaining an accurate and biologically useful prediction. …”
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16110
An exploration of modeling approaches for capturing seasonal transmission in stochastic epidemic models
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16111
Implications of Using Spheroidal “Cone Model” CMEs in Solar‐Wind Models
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16112
Progress in developments and applications of the HYDRUS model and associated coupling model packages
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16114
Innovative Approach Integrating Machine Learning Models for Coiled Tubing Fatigue Modeling
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16115
Developing an alternative data-driven model to resemble geomorphologic rainfall-runoff models
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16116
Smart City Traffic Flow and Signal Optimization Using STGCN-LSTM and PPO Algorithms
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16117
Breast Cancer Detection Analysis Using Different Machine Learning Techniques: South Iraq Case Study
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16118
Toward interpretable expected goals modeling using Bayesian mixed models
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16119
Numerical modelling of ductile damage mechanics coupled with an unconventional plasticity model
Published 2016-10-01Get full text
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16120
Spatial Autoregressive Modeling on Linear Mixed Models for Dependency Between Regions
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