Vector beams feature inhomogeneous polarization structures and have sparked significant attention in recent years. While a lot of effort has been dedicated to their generation and control, measures to quantify their vectorness are less developed. This is particularly critical for beams whose polarization...
We report novel vector beams\nobtained by transforming a Gaussian beam passing through a biaxial crystal, by\nmeans of the conical refraction phenomenon. We analyze both experimentally and\ntheoretically the SOP of the different vector beams generated and demonstrate\nthat the SOP of the input ...
. Sun et al.80applied the ABC algorithm to anticipate and optimise the concrete samples’ compressive strength. Chou et al.81prognosticated the shear strength in reinforced concrete deep beams. In mechanical engineering, Muthu et al.82conducted an optimal tolerance design for assembly with the goal...
100 independent optimization runs are conducted for both SGO and the other algorithms with a pre-determined stopping condition to ensure statistical significance of the results. Statistical metrics such as mean, standard deviation, and mean of required objective function evaluations are calculated. To ...
In addition to the ultrahigh Q factor and low lasing threshold, the BIC modes can possess vortex behaviors with different topological charges, which are important for vector beams [62], [63], [64]. Optical vortex beams with spiral wavefronts and screw phases are attractive due to their exce...
. Sun et al.80applied the ABC algorithm to anticipate and optimise the concrete samples’ compressive strength. Chou et al.81prognosticated the shear strength in reinforced concrete deep beams. In mechanical engineering, Muthu et al.82conducted an optimal tolerance design for assembly with the ...
3. The R2, MAE, RMSE, and MSE metrics of the LR model for the test data are 0.763, 5.987, 9.507, and 90.383, respectively. From these values, it can be inferred that the capacity of the LR model to correlate prediction and actual values is quite weak in general. Using LR, ANN, ...
This engine consists of five unique classifiers to forecast case/control predictions for our testing dataset: Random Forest (RF), Support Vector Machine (SVM), Xtreme Gradient Boost (XGBoost), k-Nearest Neighbor (k-NN), and Soft Voting Classifier (SVC). Metrics, including weighted-average F1 ...
2243 Accesses 2 Citations Metrics details Abstract Ultraviolet (UV) water disinfection method has emerged as an alternative to chemical methods of disinfection. In typical UV photoreactors for water treatment, water flows in the space between the lamp’s sleeve and outer shell. The contact of wate...
257 Accesses Explore all metrics Abstract Previous studies have primarily focused on converting point clouds (PC) into a dense mech of 3D finite element models, neglecting the conversion of PCs into as-built wireframe models with two-node elements for line elements such as beams and columns. Thi...