Search Results - "Seibi, Abdennour C."

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  1. 1

    Data Fusion and Ensemble Learning for Advanced Anomaly Detection Using Multi-Spectral RGB and Thermal Imaging of Small Wind Turbine Blades by Memari, Majid, Shekaramiz, Mohammad, Masoum, Mohammad A. S., Seibi, Abdennour C.

    Published in Energies (Basel) (01-01-2024)
    “…This paper introduces an innovative approach to Wind Turbine Blade (WTB) inspection through the synergistic use of thermal and RGB imaging, coupled with…”
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    Journal Article
  2. 2

    Review on the Advancements in Wind Turbine Blade Inspection: Integrating Drone and Deep Learning Technologies for Enhanced Defect Detection by Memari, Majid, Shakya, Praveen, Shekaramiz, Mohammad, Seibi, Abdennour C., Masoum, Mohammad A.S.

    Published in IEEE access (01-01-2024)
    “…The increasing demand for wind power requires more frequent inspections to identify defects in the Wind Turbine Blades (WTBs). These defects, if not detected,…”
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    Journal Article
  3. 3

    Optimization of Cement–Rubber Composites for Eco-Sustainable Well Completion: Rheological, Mechanical, Petrophysical, and Creep Properties by Seibi, Abdennour C., Nath, Fatick, Adeoye, Adedapo B., Sawant, Kaustubh G.

    Published in Energies (Basel) (01-04-2022)
    “…To ensure well integrity, wellbore must be strongly cased using durable cement slurries with essential additives during downhole completion. The rubber…”
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    Journal Article
  4. 4

    Poromechanics of Fractured/Faulted Reservoirs During Fluid Injection Based on Continuum Damage Modeling and Machine Learning by Abbassi, Fethi, Karrech, Ali, Islam, Md Saiful, Seibi, Abdennour C.

    “…The reactivation of faults is governed by the variation of effective stresses in the fault’s plane. These effective stresses are dependent on the total…”
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    Journal Article
  5. 5

    A frequency-domain approach to improve ANNs generalization quality via proper initialization by Chaari, Majdi, Fekih, Afef, Seibi, Abdennour C., Hmida, Jalel Ben

    Published in Neural networks (01-08-2018)
    “…The ability to train a network without memorizing the input/output data, thereby allowing a good predictive performance when applied to unseen data, is…”
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    Journal Article
  6. 6

    Fluid-structure interaction and life prediction of small-scale damaged horizontal axis wind turbine blades by Shakya, Praveen, Thomas, Matt, Seibi, Abdennour C., Shekaramiz, Mohammad, Masoum, MohammadA.S.

    Published in Results in engineering (01-09-2024)
    “…Throughout their operational lifespan and exposure to various environmental conditions, wind turbines experience diverse loading scenarios that could lead to…”
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    Journal Article
  7. 7

    Reducing the Relative Error Between the Experimental and Numerical Results of a Pipeline Leak Flowrate Using a Lean Six-Sigma Based Approach by Chalgham, Wadie, Seibi, Abdennour C., Lee, Jim

    “…One of the limitations of pipelines performance and structural integrity assessment is the continuous inspection of possible leaks due to corrosion or other…”
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    Conference Proceeding
  8. 8

    Hyperparameter Tuning of Support Vector Machines for Wind Turbine Detection Using Drones by Miller, Jordan, Seegmiller, Colton, Masoum, Mohammad A.S., Shekaramiz, Mohammad, Seibi, Abdennour C.

    “…With the increase in demand for renewable energy and high maintenance costs caused by equipment and parts failure, the need for advanced monitoring…”
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    Conference Proceeding
  9. 9

    Toward the Development of Capstone Design Guidelines in Newly Established Engineering Programs by Seibi, Abdennour C., Tolman, Sean, Jensen, Matt, Amin, Masood, Bordelon, Amanda, Hales, Tom

    “…Our university has recently launched a new engineering department in the College of Engineering and Technology to serve the community needs and satisfy the…”
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    Conference Proceeding
  10. 10

    Constitutive Relations for Asphalt Concrete Under High Rates of Loading by Seibi, Abdennour C., Sharma, Mangalore G., Ali, Galal A., Kenis, William J.

    Published in Transportation research record (2001)
    “…A main characteristic of asphalt concrete (AC) is its tendency to behave elastically and viscoplastically during cold and hot seasons, respectively. An…”
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    Journal Article Conference Proceeding
  11. 11

    Comparison of applied loads on horizontal axis wind turbine blades using an open-source software Qblade and CFD solver ANSYS-FLUENT by Huish, Caden, Shakya, Praveen, Seibi, Abdennour C., Arias, Daniel, Shekaramiz, Mohammad, Masoum, Mohammad A. S.

    Published in Wind engineering (29-08-2024)
    “…As the wind energy sector rapidly advances, there is an increasing demand to improve energy efficiency and prolong the lifespan of wind turbines. Among the…”
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    Journal Article
  12. 12

    Assessing wind turbine blade durability longevity utilizing national renewable energy laboratory tools by Thomas, Matt, Boettcher, Noah, Huish, Caden, Shakya, Praveen, Seibi, Abdennour C., Arias, Daniel, Shekaramiz, Mohammad, Masoum, Mohammad A. S.

    Published in Wind engineering (30-09-2024)
    “…With the escalating significance of renewable energy, there exists a pressing demand for precise software and tools capable of designing and forecasting wind…”
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    Journal Article
  13. 13

    Experimental Investigation and Failure Analysis of Fastened GRP under Bending Using Finite Element Method and Artificial Neural Networks by Abdennour, C. Seibi, Al-Alawi, M.

    “…This paper presents a novel approach that predicts the strength and failure modes of jointed Glass Reinforced Polyester (GRP) samples under bending using…”
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    Journal Article
  14. 14

    PREDICTION OF RUNNING FORCES IN HIGH CURVATURE WELL BORES USING FINITE ELEMENT ANALYSIS AND ARTIFICIAL NEURAL NETWORK by Seibi, Abdennour C., Gastli, Adel, Al-Shabibi, Abdullah, Abdullah, Hussein A.

    Published in Petroleum science and technology (01-06-2001)
    “…Estimation of the vertical force at the kick-off point (k.o.p) is of major concern to field engineers involved in horizontal drilling. Prior knowledge of the…”
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    Journal Article