Search Results - "Luleci, Furkan"

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  1. 1

    Generative adversarial networks for labeled acceleration data augmentation for structural damage detection by Luleci, Furkan, Catbas, F. Necati, Avci, Onur

    “…There have been major advances in the field of data science in the last few decades, and these have been utilized for different engineering disciplines and…”
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    Journal Article
  2. 2

    A literature review: Generative adversarial networks for civil structural health monitoring by Luleci, Furkan, Catbas, F. Necati, Avci, Onur

    Published in Frontiers in built environment (07-11-2022)
    “…Structural Health Monitoring (SHM) of civil structures has been constantly evolving with novel methods, advancements in data science, and more accessible…”
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    Journal Article
  3. 3

    Extended Reality (XR) for Condition Assessment of Civil Engineering Structures: A Literature Review by Catbas, Fikret Necati, Luleci, Furkan, Zakaria, Mahta, Bagci, Ulas, LaViola, Jr, Joseph J, Cruz-Neira, Carolina, Reiners, Dirk

    Published in Sensors (Basel, Switzerland) (06-12-2022)
    “…Condition assessment of civil engineering structures has been an active research area due to growing concerns over the safety of aged as well as new civil…”
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    Journal Article
  4. 4

    Generative Adversarial Networks for Data Generation in Structural Health Monitoring by Luleci, Furkan, Catbas, F. Necati, Avci, Onur

    Published in Frontiers in built environment (11-02-2022)
    “…Structural Health Monitoring (SHM) has been continuously benefiting from the advancements in the field of data science. Various types of Artificial…”
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    Journal Article
  5. 5

    Effect of structural repairs on the load rating and reliability of a prestressed concrete bridge by Debees, Marwan, Luleci, Furkan, Catbas, F. Necati

    Published in Advances in bridge engineering (01-12-2023)
    “…Prestressed girders often deteriorate over time due to environmental and man-made stressors, lowering the strength and serviceability of bridge structures…”
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    Journal Article
  6. 6

    On the Generation of Digital Data and Models from Point Clouds: Application to a Pedestrian Bridge Structure by Catbas, F. Necati, Cano, Jacob Anthony, Luleci, Furkan, Walters, Lori C., Michlowitz, Robert

    Published in Infrastructures (Basel) (01-01-2024)
    “…This study investigates the capture of digital data and the development of models for structures with incomplete documentation and plans. LiDAR technology is…”
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    Journal Article
  7. 7

    Bringing site to the office: Decision-making in infrastructure management through virtual reality by Luleci, Furkan, Catbas, F. Necati

    Published in Automation in construction (01-10-2024)
    “…This paper introduces a Virtual Meeting Environment (VME) leveraging Virtual Reality and investigates its impact on decision-making during infrastructure…”
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    Journal Article
  8. 8

    CycleGAN for undamaged-to-damaged domain translation for structural health monitoring and damage detection by Luleci, Furkan, Necati Catbas, F., Avci, Onur

    Published in Mechanical systems and signal processing (15-08-2023)
    “…•A new application is proposed and demonstrated with large scale experiments.•Undamaged-to-Damaged domain translation of dynamic responses are…”
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    Journal Article
  9. 9

    Improved undamaged-to-damaged acceleration response translation for Structural Health Monitoring by Luleci, Furkan, Avci, Onur, Catbas, F. Necati

    “…Unpaired image-to-image translation is a popular research topic in computer vision and graphics. Recently, the authors of this paper took a similar approach…”
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    Journal Article
  10. 10

    Fusing infrastructure health monitoring data in point cloud by Luleci, Furkan, Chi, Jiapeng, Cruz-Neira, Carolina, Reiners, Dirk, Catbas, F. Necati

    Published in Automation in construction (01-09-2024)
    “…This paper presents a unique approach to data fusion in the condition assessment of civil infrastructure systems. The approach fuses dynamic monitoring sensor…”
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    Journal Article
  11. 11

    A brief introductory review to deep generative models for civil structural health monitoring by Luleci, Furkan, Catbas, F. Necati

    Published in AI in civil engineering (01-12-2023)
    “…Abstract The use of deep generative models (DGMs) such as variational autoencoders, autoregressive models, flow-based models, energy-based models, generative…”
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    Journal Article
  12. 12

    Investigating the Increase in Load Rating and Reliability of a Prestressed Concrete Bridge When Utilizing Field-Derived Distribution and Impact Factors by Debees, Marwan, Luleci, Furkan, Dong, Chuan-Zhi, Necati Catbas, F.

    Published in Journal of bridge engineering (01-03-2024)
    “…When the load rating of a bridge is less than 1.0 for AASHTO HL-93 live load and state-specific legal trucks, the bridge is posted. Posting a bridge causes an…”
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    Journal Article
  13. 13

    Condition transfer between prestressed bridges using structural state translation for structural health monitoring by Luleci, Furkan, Necati Catbas, F

    Published in AI in civil engineering (01-01-2023)
    “…Implementing Structural Health Monitoring (SHM) systems with extensive sensing layouts on all civil structures is obviously expensive and unfeasible. Thus,…”
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    Journal Article
  14. 14

    Structural State Translation: Condition Transfer between Civil Structures Using Domain-Generalization for Structural Health Monitoring by Luleci, Furkan, Catbas, F. Necati

    Published 27-12-2022
    “…Using Structural Health Monitoring (SHM) systems with extensive sensing arrangements on every civil structure can be costly and impractical. Various concepts…”
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    Journal Article
  15. 15

    Generative Adversarial Networks for Labeled Acceleration Data Augmentation for Structural Damage Detection by Luleci, Furkan, Catbas, F. Necati, Avci, Onur

    Published 22-07-2022
    “…There has been a major advance in the field of Data Science in the last few decades, and these have been utilized for different engineering disciplines and…”
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    Journal Article
  16. 16

    CycleGAN for Undamaged-to-Damaged Domain Translation for Structural Health Monitoring and Damage Detection by Luleci, Furkan, Catbas, F. Necati, Avci, Onur

    Published 06-03-2022
    “…The recent advances in the data science field in the last few decades have benefitted many other fields including Structural Health Monitoring (SHM)…”
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    Journal Article
  17. 17

    Generative Adversarial Networks for Data Generation in Structural Health Monitoring by Luleci, Furkan, Catbas, F. Necati, Avci, Onur

    Published 03-03-2022
    “…Structural Health Monitoring (SHM) has been continuously benefiting from the advancements in the field of data science. Various types of Artificial…”
    Get full text
    Journal Article
  18. 18

    Generative Adversarial Networks for Labelled Vibration Data Generation by Luleci, Furkan, Catbas, F. Necati, Avci, Onur

    Published 07-12-2021
    “…As Structural Health Monitoring (SHM) being implemented more over the years, the use of operational modal analysis of civil structures has become more…”
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    Journal Article
  19. 19

    Structural Health Monitoring of a Foot Bridge in Virtual Reality Environment by Luleci, Furkan, Li, Liangding, Chi, Jiapeng, Reiners, Dirk, Cruz-Neira, Carolina, Catbas, F. Necati

    Published 03-03-2022
    “…Ageing civil infrastructure systems require imminent attention before any failure mechanism becomes critical. Structural Health Monitoring (SHM) is employed to…”
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    Journal Article
  20. 20

    Active Vibration Control of Beam and Plates by Using Piezoelectric Patch Actuators by Lüleci, İbrahim Furkan

    Published 01-01-2013
    “…Conformal airborne antennas have several advantages compared to externally mounted antennas, and they will play an important role in future aircrafts. However,…”
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    Dissertation