Volume 4, Issue 2

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Special Issue on Multidisciplinary Sciences and Advanced Technology
Guest Editors: Prof. Paul Andrew
Deadline: 30 Novermber 2025

Special Issue on Computing, Engineering and Sciences
Guest Editors: Prof. Paul Andrew
Deadline: 30 April 2025

Volume 4, Issue 2 (February 2025) - 3 Articles

Journal of Engineering Research and Sciences, Volume 4, Issue 2, Page # i-i, 2025

Journal of Engineering Research and Sciences, Volume 4, Issue 2, Page # i-i, 2025

by ABC and DEF
Journal of Engineering Research and Sciences, Volume 4, Issue 2, Page # i-i, 2025

Journal of Engineering Research and Sciences, Volume 4, Issue 2, Page # i-i, 2025

by Laurence Banda
Journal of Engineering Research and Sciences, Volume 4, Issue 2, Page # 1-10, 2025; DOI: 10.55708/js0402001
Abstract: The fierce race among mobile network operators (MNOs) to roll out fifth generation (5G) networks has intensified. One of the potential markets where 5G deployment has increased tremendously is Sub-Saharan Africa. This is primarily due to rapid economic growth and the new opportunities that 5G networks and the associated technologies are expected to offer through sustainable digital transformation. However, research on 5G has mainly focused on the technical aspects with minimal consideration of the business side. Furthermore, research on business models for emerging 5G networks in the African context has received little attention from the scholarly community… Read More

(This article belongs to the Special Issue Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 & Section Biochemical Research Methods (BRM))

by Rubal Sharma, Sangeeta Malik and Ruchi Gupta 
Journal of Engineering Research and Sciences, Volume 4, Issue 2, Page # 12-17, 2025; DOI: 10.55708/js0402002
Abstract: To estimate the population, mean in two-phase stratified sampling, this paper aims to construct a new product in the product type estimator using exponential and log functions. When using two samples for stratification, this study attempts to solve the equation for bias and mean squared error (MSE) up to the first degree of approximation (fda). The modified estimator is more effective than y‾ds (the usual unbiased estimator,Y‾ˆ PPds (Ige & Tripathi ratio estimator) and YˆPPe (ratio type exponential estimator) given by Tailor et al. theoretically and numerically… Read More

(This article belongs to the Special Issue Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 & Section Biochemical Research Methods (BRM))

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