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Longitudinal Studies of Wearables in Patients with Diabetes: Key Issues and Solutions
(
MDPI
, 2023 , Article)
Glucose monitoring is key to the management of diabetes mellitus to maintain optimal glucose control whilst avoiding hypoglycemia. Non-invasive continuous glucose monitoring techniques have evolved considerably to replace ...
Enhancing the damping effect of MRF damper using an external magnetic excitation system
(
Institute of Physics Publishing
, 2023 , Article)
The magnetic field generated by the damper’s magnetic circuit governs the yield stress value of the Magnetroholgical Fluid (MRF) damper and hence its damping effect. This paper contributes to the literature on the development ...
Development of eco-friendly chitosan-g-polyacrylamide preformed particle gel for conformance control in high-temperature and high-salinity reservoirs
(
Elsevier
, 2023 , Article)
Oil and gas extraction has become challenging nowadays due to the accompanying amount of excess produced water that results in poor recoverability of hydrocarbon, besides other environmental and economic isues. A recent ...
iMIGS: An innovative AI based prediction system for selecting the best patient-specific glaucoma treatment
(
Elsevier
, 2023 , Article)
The use of AI-based techniques in healthcare are becoming more and more common and more disease-specific. Glaucoma is a disorder in eye that causes damage to the optic nerve which can lead to permanent blindness. It is ...
Nonenzymatic electrochemical lactic acid sensor using CuO nanocomposite
(
Elsevier
, 2023 , Article)
The detection of biochemical performance and health parameters using wearable sensors have gained more attention. Lactic acid (LA) sensor was developed using the simple facile method for electrochemical detection in ...
Vortex induced vibration energy harvesting using magnetically coupled broadband circular-array piezoelectric patch: Modelling, parametric study, and experiments
(
Elsevier
, 2023 , Article)
Piezoelectric composites have become increasingly important in energy harvesting from vibration and, more recently, flow-induced vibration. The compatibility of piezoelectric devices has allowed tuning harvesters to the ...
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 ...
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 ...
Effect of Waste Tire Rubber on Properties of Asphalt Cement and Asphalt Concrete Mixtures: State of the Art
(
Springer Nature
, 2023 , Article)
This research paper aims at providing a comprehensive analysis of the effect of the addition of waste tire rubber to asphalt mix and its properties. Having reviewed several published research papers, it is concluded that ...