Volume 7, Issue 1, February 2025

The hydrazones and their metal complexes find application as anticancer, antibacterial, chemotherapeutic, antioxidants, and antiproliferative agents, among several other uses. In our quest for possible …

Selection of important features is very vital in machine learning tasks involving high-dimensional dataset with large features. It helps in reducing the dimensionality of a dataset and improving model …

In several earlier studies, machine learning (ML) has been widely explored for fraud detection. However, fraud detection is still a challenging problem. This is due to the imbalanced nature of fraud data, …

Obstacle is an object positioned along a path of propagation with the potential to cause a collision and hence, an accident. Over the years, several papers have applied advanced computer vision techniques, …

Malware detection and classification are important requirements for information security because malware poses a great threat to computer users. As the growth of technology increases, malware is getting …

Smart contracts have attracted significant attention within the blockchain ecosystem due to their ability to automate agreements when specific pre-defined conditions are met. However, concerns about the …

Smart precision farming leverages IoT, cloud computing, and big data to optimize agricultural productivity, lower costs, and promote sustainability through digitalization and intelligent methodologies. …

A geophysical and geotechnical survey was carried out along the Obiaruku-Agbor Expressway in Delta State, Nigeria to determine the causes of its deterioration. The study used a 2D electrical resistivity …

Precipitation has  become a major topic of discussion in the subject of climate change. Studies have presented correlative relationships between climate change and the existing alterations in the global …

The airborne radiometric data of the Flamingo Field, Southwest Nigeria has been analyzed and interpreted with the aim of evaluating the surface geology and structural features that are critical for mineral …

This research focuses on hydrothermal alteration and mineral potential zones of the Bauchi area in northeastern Nigeria using the interpretation of aeroradiometric data. The high resolution aeroradiometric …

This study introduces a novel cluster of hybrid polynomial kernel families, designed to achieve significantly lower asymptotic mean integrated squared error compared to traditional kernels. These hybrid …

In this research, we develop an innovative and efficient numerical method for solving a nonlinear one-dimensional time-fractional convection-diffusion-reaction equation (TFCDRE) with a variable …

This research deviates from usual studies in auction literature primarily focused on maximizing expected revenue. Instead, we concentrate on the strategic design of discrete Dutch auctions in the context …

In this work, a non-integer-order epidemic system modelling the nonlinear dynamics of Ebola virus disease is formulated in the sense of Caputo-ractional derivative. The existence and uniqueness of solution …

Molodtsov pioneered the notion of soft set theory, presenting it as a mathematical tool for dealing with uncertainty. Numerous researchers have subsequently developed models leveraging this theory to …

In this paper, we present a ninth–order block hybrid method for the numerical solution of stiff and non–stiff systems of first–order differential equations. The method is based on an interpolation and …

This study aims to enhance the thermal stability and dielectric properties of an epoxy/phenolic resin-type novolac blend by incorporating carbon nanofibers (CNFs). The EP/novolac-CNF composite was created …

This study aims to investigate the differential cross-section (DCS) in a non-monochromatic laser-assisted thermal environment. Building on existing research, which primarily explores electron dynamics and …

The expectation values play important role in atomic physics and quantum mechanics. They are vital to obtaining the quantum information theoretic measures, Compton profile, electronic kinetic energy, …

Green synthesis of metal oxides has attracted attention as the latest technology in synthesizing metal oxide nanoparticles due to its simplicity, cheapness, non-toxicity and its ability for large scale …

Density functional theory (DFT) driven by the quantum ESPRESSO code was used in this study to investigate the structural, opto-electronic, and thermoelectric properties of ternary perovskite chalcogenide …