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dal3006's Projects

mag_analysis icon mag_analysis

Routines for analysing simulated and historical geomagnetic storm data

magnetic-storms icon magnetic-storms

The characteristics of magnetic storms and magnetospheric substorms, the correlation between Dst, AE , Kp indices and geomagnetic storms

magneto icon magneto

Analyzing CSA geomagnetic data to identify interference / false data and to predict activity outside of captured data. SpaceApps Ottawa 2019

magnetohydrodynamics2d icon magnetohydrodynamics2d

Incompressible viscous MHD in two dimensions with mixed discontinuous Galerkin / Fourier spectral method

magpysv icon magpysv

Python toolbox for the analysis and processing of geomagnetic data

marketing_analytics_project icon marketing_analytics_project

This project is performed in Python to conduct EDA, statistical analysis, visualising insights and proposed a data-driven solutions.

maskedface-net icon maskedface-net

MaskedFace-Net is a dataset of human faces with a correctly and incorrectly worn mask based on the dataset Flickr-Faces-HQ (FFHQ).

mattrans icon mattrans

MATTRANS - A MATLAB(R)/Simulink Power System Transient Stability Simulation Package

mc_dcnn icon mc_dcnn

Multi channel deep convolutional neural network for time series classification

mega-to-google-drive icon mega-to-google-drive

This is a Google Colab notebook that helps you to transfer files from Mega to Google Drive

mhdflows.jl icon mhdflows.jl

Three Dimensional Magnetohydrodynamic(MHD) pseudospectral solvers written in julia with FourierFlows.jl

mixed-heat-gas-power-system-scheduling icon mixed-heat-gas-power-system-scheduling

Maintenance Model of Power System with Matlab and Yalmip, including the maintenance of branches and generators, and a partial mantenance is allowed for branches. The Object Functions are 1.Maximize the minimum reserve rate, 2.Minimize the cost, 3. Minimize the Variance of reserve rate(resulting in a long solution time) 使用Matlab和Yalmip进行电力系统维护的模型,包括分支机构和发电机的维护,并且分支机构可以进行部分维护。 对象函数是1.最大化最小储备率,2.最小化成本,3.最小化储备率的差异(导致较长的求解时间) Besides, note that the model is based on the Matlab, Yalmip, and the solver is Gurobi. It can be changed to other solvers, such as Cplex, by modifying the parameter 'gurobi' in sentence 'ops = settings('solver','gurobi''. 此外,请注意,该模型基于Matlab,Yalmip,求解器为Gurobi。 通过修改句子'ops = settings('solver','gurobi'中的参数'gurobi',可以将其更改为其他求解器,例如Cplex。 If you have any idea on improving this model, please contact me. 如果您有任何改进此模型的想法,请联系我.

ml-earthquakestudy icon ml-earthquakestudy

Comparative study between three clustering algorithms in order to study seismic events

ml_cheat_sheet icon ml_cheat_sheet

My notes and superstitions about common machine learning algorithms

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