Convolutional neural networks (CNN) have been increasingly popular in image
categorization in recent years. Hyperparameter optimization is a critical stage in enhancing …

This article offers a detailed investigation into the technical, economic along with
environmental performance of four configurations of hybrid renewable energy systems …

Bronchial asthma is a prevalent non-communicable disease among children. The study
collected clinical data from 390 children aged 4–17 years with asthma, with or without …

Abstract Runge Kutta Optimization (RUN) is a widely utilized metaheuristic algorithm.
However, it suffers from these issues: the imbalance between exploration and exploitation …

This study introduces three soft computing (SC) optimization algorithms aimed at enhancing
the efficiency of photovoltaic water pumping systems (PVWPS). These algorithms include …

Gastric cancer (GC), characterized by its inconspicuous initial symptoms and rapid
invasiveness, presents a formidable challenge. Overlooking postoperative intervention …

Intrusion detection system (IDS) classify network traffic as either threatening or normal based
on data features, aiming to identify malicious activities attempting to compromise computer …

Abstract The Runge–Kutta optimiser (RUN) algorithm, renowned for its powerful optimisation
capabilities, faces challenges in dealing with increasing complexity in real‐world problems …

This study investigates the coverage extendibility of generalized prediction error estimation
for the random vector functional link (RVFL) network and generalized extreme learning …

In this study, we focused on using microarray gene data from pancreatic sources to detect
diabetes mellitus. Dimensionality reduction (DR) techniques were used to reduce the …