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Now showing items 1971-1980 of 2040
Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data
(
Elsevier
, 2023 , Article)
Introduction: Diabetes Mellitus (DM) is characterized by impaired ability to metabolize glucose for use in cells for energy, resulting in high blood sugar (hyperglycemia). DM impacted 463 million individuals worldwide in ...
Explainable deep learning model for automatic mulberry leaf disease classification
(
Frontiers Media SA
, 2023 , Article)
Mulberry leaves feed Bombyx mori silkworms to generate silk thread. Diseases that affect mulberry leaves have reduced crop and silk yields in sericulture, which produces 90% of the world’s raw silk. Manual leaf disease ...
Application of Tools of Quality Function Deployment and Modified Balanced Scorecard for Optimal Allocation of Pavement Management Resources
(
Institute of Electrical and Electronics Engineers Inc. (IEEE)
, 2020 , Article)
Pavement management is a set of tools used to evaluate and maintain pavements so that the pavements can be used safely and effectively over a certain period. Many traditional methods were and are still being used by entities ...
Optimal piezoelectric shunt dampers for non-deterministic substructure vibration control: estimation and parametric investigation
(
Nature Research
, 2021 , Article)
Piezoelectric (PZT) shunt damping is an effective method to dissipate energy from a vibrating structure; however, most of the applications focus on targeting specific modes for structures vibrating at low-frequency range, ...
Thermoeconomic and optimization analyses of direct oxy-combustion supercritical carbon dioxide power cycles with dry and wet cooling
(
Elsevier
, 2021 , Article)
Oxy-combustion supercritical CO2 power cycles have the advantages of high-energy efficiency and near-zero pollutant emissions. Thus, these cycles are considered as an efficient way to reduce CO2 emissions while maintaining ...
Energy and exergy analyses of novel supercritical CO2 Brayton cycles driven by direct oxy-fuel combustor
(
Elsevier
, 2021 , Article)
This study addresses major research gaps related to supercritical carbon dioxide (sCO2) power cycles including the shortcomings due to adding extra components, the high operating temperatures and the lack of studies on ...
Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network
(
Elsevier
, 2024 , Article)
This research aims to enhance the safety level and crash resiliency of targeted woven roving glass/epoxy composite material for various industry 4.0 applications. Advanced machine learning algorithms are used in this study ...
Rupture of an industrial gfrp composite mitered elbow pipe
(
MDPI AG
, 2021 , Article)
This paper examines the immature rupture of glass fiber reinforced plastic composite (GFRP) mitered elbow pipes. The GFRP composite mitered elbow pipe’s lifespan was twenty-five years; however, the pipes in question ...
Accurate prediction of dynamic viscosity of polyalpha-olefin boron nitride nanofluids using machine learning
(
Elsevier
, 2023 , Article)
This study focuses on predicting the dynamic viscosity of nanofluids, specifically Polyalpha-Olefin-hexagonal boron nitride (PAO-hBN) using machine learning models. The primary goal of this research is to assess and contrast ...
Development of Inorganically Cross-Linked Sulfonated Polyacrylamide Preformed Particle Gels for Conformance Control: Impact of Anionic Groups
(
American Chemical Society (ACS)
, 2024 , Article)
Modern oil and gas extraction faces challenges, notably from the surplus of produced water, hampering hydrocarbon recovery and raising environmental and economic concerns. A promising solution is the injection of preformed ...