Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...

The irregular, swirling motion of fluids we call turbulence can be found everywhere, from stirring in a teacup to currents in ...

Abstract: Features that are equivariant to a larger group of symmetries have been shown to be more discriminative and powerful in recent studies [4], [40], [5]. However, higher-order equivariant ...

Technical trading uses historical data patterns to forecast stock trends. Learn about techniques like momentum and trend ...

Abstract: In the first part of this study, a convex-constrained penalized formulation was studied for a class of constant modulus (CM) problems. In particular, the ...

Abstract: Rotation invariance is a crucial requirement for the analysis of 3D point clouds. However, current methods often achieve rotation invariance by employing specific network designs. These ...

Abstract: With recent success of deep learning in 2-D visual recognition, deep-learning-based 3-D point cloud analysis has received increasing attention from the community, especially due to the rapid ...

Learn how to perform numerical calculations using projectile motion in this physics tutorial! This video guides you step by step through solving problems involving velocity, angle, and displacement, ...

Abstract: Sequential convex programming (SCP) has recently gained significant popularity as an effective method for solving optimal control problems and has been successfully applied in several ...

Abstract: Discrete point cloud objects lack sufficient shape descriptors of 3D geometries. In this paper, we present a novel method for aggregating hypothetical curves in point clouds. Sequences of ...

Abstract: Digitalisation in railway networks harnesses digital technologies to optimise operations, leading to enhanced efficiency, and reduced energy consumption. By analysing real-time data, ...