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Framework For Optimizing The Design of Reinforced Composite Products to Achieve Environmental Sustainability
Christian Emeka Okafor
; Godspower Onyekachukwu Ekwueme
; Chibuzo Ndubuisi Okoye
; Augustine Uzodinma Madumere
; Calistus Princewill Odeh
International Journal of Engineering and Applied Science
Vol 2
, No 1
(2025)
In recognition of the need for sustainable design philosophies and practices that can be incorporated into the design of new products with an environmentally sustainable perspective throughout the life cycle, this research used a scoping review approach to x-ray the utility of the Sustainable Value Framework (SVF) in enhancing the application of reinforced composite products for ecological efficiency. An extensive search was performed using the electronic databases of articles such as PubMed, Go...
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Optimizing Data Transmission in Wireless Sensor Networks Using Machine Learning
International Journal of Electrical Engineering, Mathematics and Computer Science
Vol 1
, No 2
(2024)
Data transmission efficiency is crucial in wireless sensor networks (WSNs), where limited battery life and signal reliability are significant concerns. This research explores various machine learning algorithms aimed at optimizing data transmission in WSNs, focusing on reducing energy consumption and enhancing network stability. Simulation results indicate marked improvements in efficiency, making WSNs more viable for long-term deployment across diverse environments.
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Development of a Model to Classify Skin Diseases using Stacking Ensemble Machine Learning Techniques
Journal of Computing Theories and Applications
Vol 2
, No 1
(2024)
Skin diseases are highly prevalent and transmissible. It has been one of the major health problems that most people face. The diseases are dangerous to the skin and tend to spread over time. A patient can be cured of these skin diseases if they are detected on time and treated early. However, it is difficult to identify these diseases and provide the right medications. This study's research objectives involve developing an ensemble machine learning based model for classifying Erythemato-Squamous...
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A Technical Review of the State-of-the-Art Methods in Aspect-Based Sentiment Analysis
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
With the advent and rapid advancement of text mining technology, a computer-based approach used to capture sentiment standpoints from data in textual form is increasingly becoming a promising field. Detailed information about sentiment can be provided using aspect-based sentiment analysis, which can be used in better decision-making. This study aims to study, observe, and classify previous methods used in aspect-based sentiment analysis. A systematic review is adopted as the method used to colle...
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Evaluation of University Websites in Nigeria using the Web Content Accessibility Guidelines
Ogbuju, Emeka
; Ihinkalu, Olalekan
; Ajulo, Emmanuel
; Jaiyeoba, Oluwayemisi
; Yemi-Peters, Victoria
Journal of Computing Theories and Applications
Vol 1
, No 2
(2023)
Providing accessible open educational resources (OER) is essential for users with impairments to access university resources. To achieve this, web content accessibility guidelines (WCAG) have been developed. In this study, we used the AChecker web accessibility evaluation tool to assess the content of 42 federal university websites in Nigeria and recorded their conformance level to the WCAG. The findings show that at Level A (Minimal Compliance), there were 855 known problems, 55 likely problems...
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