Showing 41 - 60 results of 4,484 for search '((pinnae OR shinae) OR (((sspinge OR ((span OR pan) OR scans)) OR pinna) OR eng))', query time: 0.24s Refine Results
  1. 41

    Deep learning-enabled 3D multimodal fusion of cone-beam CT and intraoral mesh scans for clinically applicable tooth-bone reconstruction by Liu, Jiaxiang, Hao, Jin, Lin, Hangzheng, Pan, Wei, Yang, Jianfei, Feng, Yang, Wang, Gaoang, Li, Jin, Jin, Zuolin, Zhao, Zhihe, Liu, Zuozhu

    Published 2023
    “…High-fidelity three-dimensional (3D) models of tooth-bone structures are valuable for virtual dental treatment planning; however, they require integrating data from cone-beam computed tomography (CBCT) and intraoral scans (IOS) using methods that are either error-prone or time-consuming. …”
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    Journal Article
  2. 42

    Optimisation of silicon adhesive cure using differential scanning calorimetry analysis by Lee, Chow Sim.

    Published 2008
    “…In this project, the author employed the technique of combining various maximum rate of heat evolution at selected cure temperature using Differential Scanning Calorimetry (DSC) thermal analysis to improve cure efficiency. …”
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    Thesis
  3. 43

    Hyperspectral z-scan: measurement of spectrally resolved nonlinear optical properties by Antony, Maria Merin, Suchand Sandeep, Chandramathi Sukumaran, Murukeshan, Vadakke Matham

    Published 2022
    “…Broadband hyperspectral z-scan using a supercontinuum light source is a convenient technique to obtain spectrally resolved nonlinear optical properties of the materials under investigation. …”
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    Journal Article
  4. 44

    Application of automated defect detection for failure analysis in scanning acoustic microscopy by Tang, Wai Kit

    Published 2024
    “…The acoustic image dataset was collected by scanning semiconductor packages through the SAM tool. …”
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    Thesis-Master by Research
  5. 45

    Investigation into the effect of process parameter on properties of AM parts - scan speed by Lau, Marilyn Li Qin

    Published 2016
    “…An experiment was conducted to investigate the influence of the laser scan speed on the mechanical properties of the printed parts.…”
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    Final Year Project (FYP)
  6. 46

    Ultrasonic "A" scan of defects to determine their size, location, character and orientation by Fong, Jun Yong

    Published 2018
    “…These operators will examine the material and attempt to size the dimensions and shape of defect if it is detected. The A-scan is the most basic procedure of ultrasonic testing. …”
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    Final Year Project (FYP)
  7. 47

    Setup and implementation of hierarchical scan insertion using the core wrapping technique by Saurabh, Maru

    Published 2018
    “…Mentor Graphics’ TessentScan is used for core wrapping and scan chain insertion while FastScan is used for generating test patterns. …”
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    Thesis
  8. 48

    Pulsed laser scan methodology for single event effect (SEE) qualification by Chua, Chung Tah

    Published 2019
    “…Lastly, the proposed pulsed laser SEE scan methodology was demonstrated to induce damage in advanced microelectronic devices. …”
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    Thesis
  9. 49

    Intellectual property authentication by watermarking scan chain in design-for-testability flow by Cui, Aijiao, Chang, Chip Hong

    Published 2010
    “…As only the order of the scan cells is varied, the number of test vectors for the desired fault coverage is not affected. …”
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    Conference Paper
  10. 50

    Transmission-scanning electron microscopy of interface fracture of ferrite deformation twins by Koko, A, Marrow, TJ

    Published 2024
    “…Deformation twins in the ferrite matrix of an age-hardened duplex stainless steel have been observed using on-axis transmission Kikuchi diffraction (TKD) in a scanning electron microscope. This provided details of the lattice misorientation and dislocation arrangement, including the dislocation-free zone at the twin tip. …”
    Journal article
  11. 51

    Thermal analysis of failed-batch palm oil by differential scanning calorimetry by Che Man, Y.B., Swe, P.Z.

    Published 1995
    “…Thermal behavior of palm oil samples drawn from the batch crystallizers that failed during crystallization and of a control oil that was drawn from a batch that produced good crystallization were analyzed by differential scanning calorimetry under constant heating and cooling conditions. …”
    Article
  12. 52
  13. 53

    Dynamic scan chains : a novel architecture to lower the cost of VLSI test by Sitchinava, Nodari S. (Nodari Shalva), 1981-

    Published 2005
    “…Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.…”
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    Thesis
  14. 54

    Localized transverse flow measurement with dynamic light scattering line-scan OCT by Han, Le, Tan, Bingyao, Schmetterer, Leopold, Bizheva, Kostadinka

    Published 2023
    “…A novel decorrelation-based approach for measuring localized transverse flow velocity using line-scan (LS) optical coherence tomography (OCT) is proposed. …”
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    Journal Article
  15. 55

    Recent developments in differential scanning calorimetry for assessing oxidative deterioration of vegetable oils by Tan, C.P., Che Man, Y.B.

    Published 2002
    “…Differential scanning calorimetry (DSC) is one of the most frequently used analytical instruments in the field of oils and fats. …”
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    Article
  16. 56

    Unsupervised domain adaptation for depth completion from sparse LiDAR scans depth map by Geng, Yue

    Published 2022
    “…Depth completion aims to predict the distance between objects on an image and the camera capturing the image from a LiDAR scans depth input, and the distance is expressed as a dense depth map. …”
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    Thesis-Master by Coursework
  17. 57
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  19. 59

    Effects of data amount and variation in deep learning-based tuberculosis diagnosis in chest X-ray scans by Bhorkar, A, Gonzales, RA

    Published 2024
    “…Our study aims to enhance diagnostic opportunities by developing a deep-learning model to categorize pulmonary X-ray scans into “normal” and “tuberculosis” classes. Exercising feature extraction, we incorporated VGG-16 (Visual Geometry Group network with 16 layers) architecture to enhance model classification accuracy via transfer learning. …”
    Journal article
  20. 60