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Menampilkan 1–4 dari 4 artikel
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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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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1 Sitasi
PERANCANGAN SISTEM INFORMASI PENJUALAN MOTOR LISTRIK PT. TALABU
JURNAL ILMIAH KOMPUTER GRAFIS
Vol 16
, No 2
(2023)
This journal discusses the information system that will be designed as a means of selling electric motor by PT Talabu.Traditional motor cars are being replaced by more ecologically friendly electric motors, which are growing in popularity. PT. Talabu, an electric motor sales company, faces problems in inventory management and sales processes. This study's primary goal is to develop a sales information system that can help PT. Talabu in managing inventory and its operations. This research uses sy...
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Design and Validation of Structural Causal Model: A Focus on EGRA Dataset
Journal of Computing Theories and Applications
Vol 1
, No 2
(2023)
Designing and validating structural causal model (SCM) correctness from a dataset whose background knowledge is obtained from a research process is not a common phenomenon. Studies have shown that in many critical areas, such as healthcare and education, researchers develop models from direct acyclic graphs (DAG), a component of an SCM, without testing them. This phenomenon is worrisome and is bound to cast a shadow on the inference estimates that may arise from such models. In this study, we ha...
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