This study presents a resilient model for accurately predicting annual solar radiation in
Ghardaia, Algeria, utilizing a locally-sourced database. The model integrates temperature …

This study proposes a method that combines constant terms with state variables to construct
the target system model. The three-dimensional system model is used for verification …

To address the limitations of traditional untunable multi-wing chaotic systems in terms of
stability and security, this study proposes a novel method for constructing a tunable multi …

Introduction The primary objective of this research is to examine acrophobia, a widely
prevalent and highly severe phobia characterized by an overwhelming dread of heights …

Ocean buoys play a critical role in marine hydrological, water quality, and meteorological
monitoring, with applications in navigation, environmental observation, and communication …

This study presents a comprehensive exploration of EEG-based motor imagery classification
using advanced deep learning architectures. Focusing on six distinct motor imagery classes …

Since the introduction of Electroencephalogram (EEG), its signals have been vital for
diagnosing neurological issues such as epilepsy and other problems. Brain-computer …

This paper presents a solution to this challenge by introducing interactive feedback derived
from brain signals to train robots using deep reinforcement learning, particularly in the …