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GitHub1y
PlantUML diagrams for article: "A Combined Finite State Machine and PlantUML Approach to Machine Learning Applications"
In this paper, a Finite State Machine (FSM) approach is applied to the design and implementation of a blend of Machine Learning (ML ... in its structure the rules driving the NNs. The parsed diagrams ...
IEEE1y
A Hybrid Machine Learning - Numerical Weather Prediction Approach for Rainfall Prediction
However, rainfall predicted by conventional numerical weather prediction (NWP) models frequently falls short of the required accuracy for many of these applications. In this paper, we propose a novel ...
IEEE10mon
A Hybrid Machine Learning - Numerical Weather Prediction Approach for Day Ahead Solar Irradiance Prediction
In this paper, we propose and test a novel hybrid Numerical Weather Prediction (NWP)-Machine Learning (ML) approach that uses a broad range of atmospheric variables from Global Forecast System (GFS) ...
Frontiers8mon
A physics-based ensemble machine-learning approach to identifying a relationship between lightning indices and binary lightning hazard
To convert lightning indices generated by numerical weather prediction experiments ... SRS gauging lightning potential may experience. Figure 4. Taylor diagram of the composite machine learning model ...
Oak Ridge National Lab1y
Numerical modeling based machine learning approach for the optimization of falling - film evaporator in thermal desalination application
In this work, CFD simulation based machine learning and multi-objective optimization are performed to identify optimal conditions and tube arrangement for evaporator. Non-dominated sorting genetic ...
CWI2mon
Scientific Machine Learning and Numerical Methods – Autumn School
probabilistic numerical methods, and scalable algorithms for scientific machine learning. Special focus will be given to physics-informed machine learning, stochastic processes, and modern approaches ...