GitHub

CausalInferenceLab/awesome-causal-inference-python

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IEEE

Efficient Calculation of Propagation Coefficients in Anisotropic Media Through Transfer Matrix Method Based on Eigenvalue Analysis

Abstract: To explore the anisotropic nature and improve computational efficiency, eigenvalue (EV-) analysis is adopted to implement the transfer matrix method (TMM), abbreviated as EV-TMM, enabling ...
IEEE

Reverse Time Migration Imaging of GPR Data Based on Local Nyquist Attenuation Compensation Cross-Correlation Imaging Condition

Abstract: Reverse time migration (RTM) can accurately simulate electromagnetic wave propagation in complex media and has become an essential technique for high-resolution ground penetrating radar (GPR ...
Hosted on MSN

Neural network learning: forward & backward propagation

Want to understand how neural networks actually learn? This video breaks down forward and backward propagation in a simple, visual way—perfect for beginners and aspiring AI engineers! #NeuralNetworks ...
GitHub

Python code made to run on a Numworks calculator

julia.py This code displays the Julia set. It uses the kandinsky module. mandelbrot_nap0.py There is a official Numworks Mandelbrot script. This is a different version made from scratch. Uses the ...