Vehicles and pedestrians can move freely like "ghosts"... This is not a science fiction story, but a function brought by a ...

Compressed sensing technology is a novel signal processing theory that enables sampling and reconstruction of signals at rates far below the Nyquist sampling theorem. The EALISTA algorithm, as a key ...

A team of researchers from the University of Professional Studies, Accra, led by Dr. Augustina Dede Agor, has completed one of the most detailed global reviews to date on the integration of artificial ...

Evolutionary algorithms, such as differential evolution, excel in solving real-parameter optimization challenges. However, the effectiveness of a single algorithm varies across different problem ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful.

Keywords: autonomous navigation, robotic control, path tracking, deep reinforcement learning, SLAM, RS-DDPG algorithm Citation: Khan S, Niaz A, Yinke D, Shoukat MU and Nawaz SA (2025) Deep ...

This paper conducts a thorough comparative analysis of optimization algorithms for an unconstrained convex optimization problem. It contrasts traditional methods like Gradient Descent (GD) and ...

The whale optimization algorithm is improved by introducing the initial population of Logistic chaotic map, nonlinear convergence factor, adaptive weight and Levy flight disturbance strategy. The ...