Background of the study: Nigeria’s electoral process has faced systemic ailments like voter intimidation, stuffing of ballot boxes, results alteration, and collation delays leading to a massive decline in voter turnout over the years.&n Read more

Uncertain time series analysis provides a framework for modeling data shaped by human belief and cognitive limitations rather than randomness. However, existing models are largely parametric and assume uncertain normal residuals, which often Read more

The equation of order 6 of the NLS hierarchy is considered and particular solutions are given. Explicit expressions of these solutions are constructed for the first orders depending on multi-parameters. We study patterns of these solutio Read more

Protecting Internet of Things (IoT) environments from intrusions is essential in today’s digitally linked society. A novel machine learning framework for intrusion detection in Internet of Things systems is presented in this study. By u Read more

Globally, pneumonia is still a major health concern, particularly in areas with poor diagnostic facilities. This paper compares two CNN architectures, ConvXNet and a CustomCNN, for deep learning-based pneumonia identification using chest X-ra Read more

We appreciated to read the article by Balsak et al. on a cross-sectional observational study on the dynamics of workplace violence (WPV) among 390 healthcare workers (HCW) in a single tertiary hospital in Turkye [1]. It was found that exposure to Read more

Set-theoretic approaches such as fuzzy sets, neutrosophic sets, plithogenic sets, rough sets, and soft sets have proven effective for modeling uncertainty. These frameworks have been enriched by hyperstructures—based on ordinary powerse Read more

Graph theory studies the mathematical structures of vertices and edges to model relationships and connectivity [1, 2]. Hypergraphs extend this framework by allowing hyperedges to connect arbitrarily many vertices at once [3], and superhypergr Read more

One rapidly growing technology is the Internet of Things (IoT). In order to facilitate information collecting and sharing, the Internet of Things (IoT) is a network of physical objects or things that have been connected by software, sensors, physi Read more

Data analytics is the systematic application of scientific and statistical methods to raw data, with the aim of converting it into actionable information that can be utilised for acquiring knowledge. One current development in feature abstraction Read more