Modeling of heterogeneous materials and media is a problem of fundamental importance to
a wide variety of phenomena with applications to many disciplines, ranging from condensed …

The digital transformation of the energy sector toward the Smart Grid paradigm, intelligent
energy management, and distributed energy integration poses new requirements for …

Feature selection is an important data processing method to reduce dimension of the raw
datasets while preserving the information as much as possible. In this paper, an enhanced …

Deep learning is widely used to automate processes, improve performance, detect patterns,
and solve problems. Thus, applications of deep learning are limitless. Particle swarm …

In recent decades, the world has witnessed a great expansion in the world of technology
and electronics, in addition to the tremendous development in various industries, which has …

Large-scale optimization problems (LSOPs) become increasingly ubiquitous but
complicated in real-world scenarios. Confronted with such sophisticated optimization …

Based on the principle that the upgrading of any nation begins by raising the level of
performance of its institutions that serve the community, including the Ministry of Electricity …

Drone swarms can achieve tasks via collaboration that are impossible for single drones
alone. Synthetic aperture (SA) sensing is a signal processing technique that takes …

This paper presented a new metaheuristic technique, namely the guided pelican algorithm
(GPA). GPA has the improvements for a shortcoming algorithm, namely the pelican …

Four-wheel-drive battery electric vehicles (BEV) driven by multiple motors on different axles
are getting popular by offering outstanding dynamic and safety performance without …