Abstract Autism Spectrum Disorder (ASD) is a developmental condition resulting from
abnormalities in brain structure and function, which can manifest as communication and …

This study aims to assess the efficacy of machine learning models in predicting solute
concentration (C) distribution in a membrane separation process, using the input parameters …

Wind energy is a crucial renewable resource that supports sustainable development and
reduces carbon emissions. However, accurate wind power forecasting is challenging due to …

The optimal power flow (OPF) problem is a critical component in the design and operation of
power transmission systems. Various optimization algorithms have been developed to …

The objective of the max-cut problem is to cut any graph in such a way that the total weight of
the edges that are cut off is maximum in both subsets of vertices that are divided due to the …

Enhancement is a crucial step in the field of image processing, as it significantly improves
image analysis and understanding. One of the most commonly used methods for image …

The problem of identifying the correct authors with the help of samples in handwriting is a bit
compromising, considering the way variations change and image distortions come into …

As the number of individuals with speech and hearing impairments continues to grow, the
demand for sign language recognition systems is increasing. Furthermore, most radio …

In the biomedical field, optimization algorithms are widely used in datasets such as
pneumonia and cancer, often combined with machine learning methods for feature selection …

Efficient resource allocation is critical to improve the quality of service in wireless networks.
The problem of resource allocation is usually non-convex and non-deterministic polynomial …