| LBW | Laser Beam Welding |
| VIS | Visible Spectrum (approx. 317–900 nm) |
| NIR | Near-Infrared Spectrum (approx. 900–1934 nm) |
| CT | Computed Tomography, used for pore volume analysis |
| PFO | Programmable Focusing Optics |
| ϕ | Inclination Angles |
| ΔY | PFO Y Translation |
| DoE | Design of Experiments |
| FFT | Fast Fourier Transform |
| PCA | Principal Component Analysis |
| LSTM | Long Short-Term Memory, a type of RNN used for time-series data |
| MSE | Mean Squared Error |
| Set0 | Dataset collected at 5000 Hz with 200 μs integration time (VIS and NIR channels) |
| Set1 | Dataset collected at 100,000 Hz with 10 μs integration time (back-reflection channels) |
| Wk | Window number k in a channel |
| D(Wi) | Signal data in window Wi |
| σ | Sigmoid activation function |
| ⊙ | Element-wise multiplication |
| PSD | Power Spectral Density (from FFT) |
| FRESH | Feature Extraction based on Scalable Hypothesis tests (Python package) |
| CNN | Convolutional Neural Network |
| SVM | Support Vector Machine |
| RMS | Root Mean Square |
| Ti | Time step index |
| Eigenvector (w) | Direction of maximum variance |
| Eigenvalue (Λ) | Variance explained by a principal component (in PCA) |