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Real-Time Adaptive Machine-Learning-Based Predictive Control of Nonlinear  Processes | Industrial & Engineering Chemistry Research
Real-Time Adaptive Machine-Learning-Based Predictive Control of Nonlinear Processes | Industrial & Engineering Chemistry Research

Learning dynamical systems from data: A simple cross-validation  perspective, Part III: Irregularly-sampled time series - ScienceDirect
Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series - ScienceDirect

Learning dynamical systems from data: A simple cross-validation  perspective, Part III: Irregularly-sampled time series - ScienceDirect
Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series - ScienceDirect

Unraveling hidden interactions in complex systems with deep learning |  Scientific Reports
Unraveling hidden interactions in complex systems with deep learning | Scientific Reports

Identifying nonlinear dynamical systems via generative recurrent neural  networks with applications to fMRI | PLOS Computational Biology
Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI | PLOS Computational Biology

Embracing Change: Continual Learning in Deep Neural Networks: Trends in  Cognitive Sciences
Embracing Change: Continual Learning in Deep Neural Networks: Trends in Cognitive Sciences

A review of dynamical systems approaches for the detection of chaotic  attractors in cancer networks - ScienceDirect
A review of dynamical systems approaches for the detection of chaotic attractors in cancer networks - ScienceDirect

Learning dynamical systems from data: A simple cross-validation  perspective, Part III: Irregularly-sampled time series - ScienceDirect
Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series - ScienceDirect

From calibration to parameter learning: Harnessing the scaling effects of  big data in geoscientific modeling | Nature Communications
From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling | Nature Communications

Machine Learning Force Fields and Coarse-Grained Variables in Molecular  Dynamics: Application to Materials and Biological Systems | Journal of  Chemical Theory and Computation
Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems | Journal of Chemical Theory and Computation

11 The system dynamics modeling process | Download Scientific Diagram
11 The system dynamics modeling process | Download Scientific Diagram

Learning dynamical systems from data: A simple cross-validation  perspective, Part III: Irregularly-sampled time series - ScienceDirect
Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series - ScienceDirect

Artificial neural network - Wikipedia
Artificial neural network - Wikipedia

Closed-form continuous-time neural networks | Nature Machine Intelligence
Closed-form continuous-time neural networks | Nature Machine Intelligence

Dynamic and explainable machine learning prediction of mortality in  patients in the intensive care unit: a retrospective study of  high-frequency data in electronic patient records - The Lancet Digital  Health
Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records - The Lancet Digital Health

Modeling of dynamical systems through deep learning | SpringerLink
Modeling of dynamical systems through deep learning | SpringerLink

Physics-informed neural networks - Wikipedia
Physics-informed neural networks - Wikipedia

Artificial neural network - Wikipedia
Artificial neural network - Wikipedia

Applied Sciences | Free Full-Text | Re-Thinking Data Strategy and  Integration for Artificial Intelligence: Concepts, Opportunities, and  Challenges
Applied Sciences | Free Full-Text | Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges

Time series in healthcare: challenges and solutions // van der Schaar Lab
Time series in healthcare: challenges and solutions // van der Schaar Lab

LM101-081: Ch3: How to Define Machine Learning (or at Least Try) - Learning  Machines 101
LM101-081: Ch3: How to Define Machine Learning (or at Least Try) - Learning Machines 101

Computers | Free Full-Text | Understanding of Machine Learning with Deep  Learning: Architectures, Workflow, Applications and Future Directions
Computers | Free Full-Text | Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions

Next generation reservoir computing | Nature Communications
Next generation reservoir computing | Nature Communications

Frontiers | Prediction of wastewater treatment system based on deep learning
Frontiers | Prediction of wastewater treatment system based on deep learning

Learning dynamical systems from data: A simple cross-validation  perspective, Part III: Irregularly-sampled time series - ScienceDirect
Learning dynamical systems from data: A simple cross-validation perspective, Part III: Irregularly-sampled time series - ScienceDirect