A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

AI's role in predictive analytics for energy savings helps Smart Cities manage resources more efficiently, say experts ...

Google's new multi-vector retrieval algorithm (MUVERA) improves search speed and performs better on complex queries.

Noisy data is ubiquitous in quantum computer, greatly affecting the performance of various algorithms. However, existing quantum support vector machine models are not equipped with anti-noise ability, ...

Keywords: landslide, data mining, random forest, support vector machine, spatial prediction Citation: Ashraf Mohammed O, Kamal Hamaamin H, Azad J, Rasooli S and Li H (2025) Spatial prediction of ...

Support Vector Machine is a versatile and powerful algorithm for classification and regression tasks. Its ability to handle high-dimensional data, its robustness to outliers, and its ability to learn ...

Abstract The manuscript presents an augmented Lagrangian—fast projected gradient method (ALFPGM) with an improved scheme of working set selection, pWSS, a decomposition based algorithm for training ...