Big Data Analytics (BDA) has garnered significant attention in both academia and industries,
particularly in sectors such as healthcare, owing to the exponential growth of data and …

Triply periodic minimal surfaces (TPMSs) have attracted great attention due to their distinct
advantages such as high strength and light weight compared to traditional lattice structures …

As environmental problems are increasingly challenging and sustainable development win
support among the people, the energy-efficient hybrid flow-shop scheduling problem …

Unmanned aerial vehicle (UAV)-enabled wireless powered communication networks
(WPCNs) are promising technologies in 5G/6G wireless communications, while there are …

Electroencephalography (EEG) may detect early changes in Alzheimer's disease (AD), a
debilitating progressive neurodegenerative disease. We have developed an automated AD …

Abstract The Dwarf Mongoose Optimization Algorithm (DMO) is a popular metaheuristic
algorithm utilized to solve real-world problems. However, DMO has limitations such as slow …

This current study presents a nonlinear system of the hepatitis B virus infection by using the
strength of artificial neural network (ANN) together with the competences of global and local …

With the rapid development of renewable energy, photovoltaic energy storage systems (PV-
ESS) play an important role in improving energy efficiency, ensuring grid stability and …

The artificial rabbits optimization (ARO) algorithm is a recently developed metaheuristic
(MH) method motivated by the survival strategies of rabbits with bilateral symmetry in nature …

Abstract Repetitive Transcranial Magnetic Stimulation (rTMS) is an evidence-based
treatment for depression. However, the patterns of response to this treatment modality are …