Search Results - "Alqahtani, Hassan"
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Classification of fatigue crack damage in polycrystalline alloy structures using convolutional neural networks
Published in Engineering failure analysis (01-01-2021)“…•Low risk damaged component needs inspection, while high risk damaged component requires replacement.•The convolutional neural networks have to be performed…”
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Computational investigation on physical properties of lead based perovskite RPbBr3 (R = Cs, Hg, and Ga) materials for photovoltaic applications
Published in Scientific reports (24-08-2024)“…In the modern era, the major problem is solving energy production and consumption. For this purpose, perovskite materials meet these issues and fulfill energy…”
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Preparation of ultra-sensitive and selective hydrogen peroxide–based colorimetric sensor using highly exfoliated g-C3N4 nanosheets with peroxidase-like activity
Published in Mikrochimica acta (1966) (01-11-2024)“…A highly sensitive, portable, rapid, and accurate colorimetric sensing method is presented. It is based upon exfoliated g-C 3 N 4 nanosheets (E–g-C 3 N 4 NSs),…”
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Impact of samarium on magnetic and optoelectronic properties of magnesium-based MgSm2X4 (X = S and Se) spinels for spintronics
Published in PloS one (2024)“…Investigating novel compounds has become necessary due to the need for sophisticated materials in optoelectronic devices and spintronics. Because of their…”
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Neural Network-Based Automated Assessment of Fatigue Damage in Mechanical Structures
Published in Machines (Basel) (01-12-2020)“…This paper proposes a methodology for automated assessment of fatigue damage, which has been tested and validated with polycrystalline-alloy (Aℓ7075-T6)…”
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Computational insights of double perovskite Na2CaCdH6 hydride alloy for hydrogen storage applications: a DFT investigation
Published in Scientific reports (23-10-2024)“…Prospective use of perovskite hydride materials in H storage a crucial element of clean energy systems has drawn a lot of attention. The structural,…”
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Clinical outcomes of maternal and neonate with COVID-19 infection – Multicenter study in Saudi Arabia
Published in Journal of infection and public health (01-06-2021)“…To this end, the influence of COVID-19 on pregnant women and their neonates is not completely clear. Therefore, the main aim of this study is to investigate…”
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The Culture of E-Arabs
Published in Journal of intelligence (28-12-2022)“…This article scrutinises the linkage between ethnicity and people's behaviour on Twitter. It examines how offline culture manifests itself online among Arabs…”
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Distance education as a response to pandemics: Coronavirus and Arab culture
Published in Technology in society (01-11-2020)“…Some countries have replaced face-to-face education with distance education in response to the coronavirus. This form of distance education differs from…”
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Fluorescent Tracers for Drill Cuttings Labelling: Compatibility with Oil-Based Drilling Mud, Long-Term Stability, and Possibility of the Recovery
Published in Engineering proceedings (01-05-2023)“…Tracer testing is a well-established technique in the oil and gas industry. By introducing tracers into drilling fluids, the depth of origin of drill cuttings…”
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The effect of financial technology on the financial performance of national Saudi banks
Published in International journal of data and network science (Print) (01-01-2024)“…Fintech, characterized by the intersection of finance and technology, has globally transformed the financial landscape, reshaping traditional banking models as…”
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LONG RUN ASSOCIATION OF OIL PRICES AND STOCK PRICES: A CASE OF INDONESIA
Published in International journal of energy economics and policy (2020)“…The study was aimed to investigate the long-run association of oil prices with the stock market index of Indonesia. The research consisted of crude oil prices…”
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Five-year epidemiological trends for chemical poisoning in Jeddah, Saudi Arabia
Published in Annals of Saudi medicine (01-07-2017)“…Poisoning is a significant global public health challenge in terms of morbidity and mortality. We conducted this study because of the lack of large…”
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Management of Bilateral Quadriceps Tendon Ruptures Post Total Knee Arthroplasty by Kesler Technique Using Fiber Tape
Published in Healthcare (Basel) (21-02-2023)“…Total knee arthroplasty is an effective way to manage osteoarthritis patients surgically. However, patients may encounter post-surgical complications, such as…”
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Convolutional neural network for risk assessment in polycrystalline alloy structures via ultrasonic testing
Published in Fatigue & fracture of engineering materials & structures (01-01-2024)“…In the current state of the art of process industries/manufacturing technologies, computer‐instrumented and computer‐controlled autonomous techniques are…”
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Feature selection of surface topography parameters for fatigue‐damage detection using Pearson correlation method and neural network analysis
Published in Fatigue & fracture of engineering materials & structures (01-05-2023)“…The global objective of this study was to investigate the best features of the surface topography for fatigue‐damage detection and classification. The presence…”
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Surface texture analysis in polycrystalline alloys via an artificial neural network
Published in Measurement : journal of the International Measurement Confederation (15-03-2024)“…Surface finish has a significant impact on the properties (e.g., fatigue strength and corrosion resistance) of manufactured products; consequently, industries…”
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Comparison of Impairments, Activity Limitations, Balance, and Quality of Life between Patients with and without Meniscus Repair or Partial Meniscectomy Post-ACL Reconstruction
Published in Journal of clinical medicine (01-11-2023)“…(1) Background: The anterior cruciate ligament (ACL) is a crucial ligament in the knee joint. This study compares the differences in knee range of motion…”
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Shoulder Pain and Disability Scores and the Factors Influencing Them among Orthopedic Surgeons Working in the Kingdom of Saudi Arabia: A Cross-Sectional Study
Published in Journal of personalized medicine (01-01-2024)“…(1) Background: Musculoskeletal pain is common among orthopedic surgeons. Their common musculoskeletal issues include shoulder pain and disability. Many…”
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Fatigue damage detection and risk assessment via neural network modeling of ultrasonic signals
Published in Fatigue & fracture of engineering materials & structures (01-06-2022)“…This paper develops a data‐driven autonomous method for detection of fatigue damage and classification of the associated damage risk in mechanical structures,…”
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