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  1. 1
    Numerical Integration And Data Reduction For Application In Photometry

    Numerical Integration And Data Reduction For Application In Photometry by Chew, Tong Fatt

    Published 2003
    “…In this thesis, an algorithm based on a local interpolation scheme called the Average Angle Method was developed for numerical integration and data reduction of photometric data, and in general, for any data set sharing similar characteristics as the luminous intensity data The new interpolation scheme interpolates discrete data with piecewise cubic polynomials having a CI continuity in the interior. knots. …”
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  2. 2
    Optimal search algorithm in a big database using interpolation–extrapolation method

    Optimal search algorithm in a big database using interpolation–extrapolation method by Kabir, M. Nomani, Alginahi, Yasser M., Ali, J., Abdel-Raheem, E.

    Published 2019
    “…Search using traditional binary-search algorithm can be accelerated by employing an interpolation search technique when the data is regularly distributed. …”
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  3. 3
    Development of android application for peninsular Malaysia GEOID height calculator / Mohamad Nazir Md Nazri

    Development of android application for peninsular Malaysia GEOID height calculator / Mohamad Nazir Md Nazri by Md Nazri, Mohamad Nazir

    Published 2021
    “…Verification of algorithm of interpolation method had verified that only two interpolation methods are useable for producing results which are Bilinear Interpolation and Inverse Distance Weighted. …”
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  4. 4
    Analysis of multiexponential transient signals using interpolation-based deconvolution and parametric modeling techniques

    Analysis of multiexponential transient signals using interpolation-based deconvolution and parametric modeling techniques by Salami, Momoh Jimoh Eyiomika, Ismail, Z.

    Published 2003
    “…One method of overcoming this d1ficulty is by incorporating the spline interpolation algorithm into the nonlinear preprocessing procedure. …”
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    Proceeding Paper
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  5. 5
    Exponential Parameterized Cubic B-Spline Curves And Surfaces

    Exponential Parameterized Cubic B-Spline Curves And Surfaces by Ammad, Muhammad

    Published 2020
    “…In developing B-spline curve interpolation method, an algorithm is presented for interpolating data points. …”
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    Thesis
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  6. 6
    RSA Encryption & Decryption using JAVA

    RSA Encryption & Decryption using JAVA by Ramli, Marliyana

    Published 2006
    “…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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    Final Year Project
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  7. 7
    STEP-NC Interpolator for General 2D and 3D Parametric Curve / Dzullijah Ibrahim...[et al.]

    STEP-NC Interpolator for General 2D and 3D Parametric Curve / Dzullijah Ibrahim...[et al.] by Ibrahim, Dzullijah, Yaakob, Yusli, Hussin, Norasikin, Samad, Zahurin

    Published 2017
    “…A STEP-NC interface to OAPC-NC interpolator using STEP-NC tool path data is proposed and developed. …”
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  8. 8
    Comparison of envelope interpolation techniques in Empirical Mode Decomposition (EMD) for eyeblink artifact removal from EEG

    Comparison of envelope interpolation techniques in Empirical Mode Decomposition (EMD) for eyeblink artifact removal from EEG by Egambaram, A., Badruddin, N., Asirvadam, V.S., Begum, T.

    Published 2017
    “…However, the algorithm is relatively slow for real time processing due to the iterative nature of EMD and the fact that interpolation of large number of data points consumes a lot of computer resources. …”
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  9. 9
    Interpolation and extrapolation techniques based Neural Network in estimating the missing ionospheric TEC data

    Interpolation and extrapolation techniques based Neural Network in estimating the missing ionospheric TEC data by Jayapal V., Zain A.F.M.

    Published 2024
    “…Normalized RMSE, RMSE and relative correction are computed for both methods to evaluate the capability of NN to interpolate and extrapolate the missing data. The results show that NN is able to interpolate the missing TEC data within the input range better than extrapolating the missing data outside the input range. …”
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  10. 10
    An efficient method of biometric matching using interpolated ECG data

    An efficient method of biometric matching using interpolated ECG data by Sidek, Khairul Azami, Sufi, Fahim, Khalil, Ibrahim, Al-Shammary, Dhiah

    Published 2010
    “…Results of experiments confirmed that the template matching using interpolation method achieved better accuracy (up to 4.46%) than the existing method without interpolation when using ECG data with lower sampling rate.…”
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    Proceeding Paper
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  11. 11
    Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application

    Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application by Yana Aditia, Gerhana, Nur, Lukman, Arief Fatchul, Huda, Cecep Nurul, Alam, Undang, Syaripudin, Devi, Novitasari

    Published 2020
    “…Performance Testing is used to test the performance of algorithm implementations in applications. …”
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    Journal
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  12. 12
    THE DEVELOPMENT OF C1 CUBIC TIMMER TRIANGULAR PATCHES FOR SCATTERED DATA INTERPOLATION

    THE DEVELOPMENT OF C1 CUBIC TIMMER TRIANGULAR PATCHES FOR SCATTERED DATA INTERPOLATION by MOHD ALI, FATIN AMANI

    Published 2020
    “…Finally, the cubic Timmer triangular patch is used to reconstruct a surface from non-uniform and uniform scattered data. To do this, we employ three stages algorithm…”
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  13. 13
    Interpolation and Extrapolation Techniques Based Neural Network in Estimating the Missing Ionospheric TEC Data

    Interpolation and Extrapolation Techniques Based Neural Network in Estimating the Missing Ionospheric TEC Data by Jayapal, V, Zain, AFM

    Published 2024
    Proceedings Paper
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  14. 14
    Trigonometric-Euclidean-Smoother Interpolator (TESI) for continuous time-series and non-time-series data augmentation for deep neural network applications in agriculture

    Trigonometric-Euclidean-Smoother Interpolator (TESI) for continuous time-series and non-time-series data augmentation for deep neural network applications in agriculture by Derraz, Radhwane, Muharam, Farrah Melissa, Jaafar, Noraini Ahmad, Yap, Ng Keng

    Published 2023
    “…Deep neural networks (DNNs) can predict such crop variables. However, DNNs are data greedy algorithms that overfit/underfit on small-size datasets. …”
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  15. 15
    Shallow-water mapping at Pantai Tok Jembal, Terengganu, Malaysia, using Lansat 8 (OLI) / Nur Syahirah Hashim

    Shallow-water mapping at Pantai Tok Jembal, Terengganu, Malaysia, using Lansat 8 (OLI) / Nur Syahirah Hashim by Hashim, Nur Syahirah

    Published 2021
    “…Open-source availability data with various types of sensors, the variety of simple to the sophisticated algorithm, and readily available software with a specialized image analysis tool are among the attractive options by Satellite-Derived Bathymetry (SDB). …”
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  16. 16
    Java based expert system for selection of natural fibre composite materials

    Java based expert system for selection of natural fibre composite materials by Ahmed Ali, Basheer A., Salit, Mohd Sapuan, Zainudin, Edi Syams, Othman, Mohamed

    Published 2013
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  17. 17
    Development of a phantom and metal artifact correction (MAC) algorithm for post-operative spine computed tomography (CT) imaging / Noor Diyana Osman

    Development of a phantom and metal artifact correction (MAC) algorithm for post-operative spine computed tomography (CT) imaging / Noor Diyana Osman by Osman, Noor Diyana

    Published 2014
    “…Then, the missing data are replaced by interpolated values by using the spline cubic interpolation. …”
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  18. 18
    Implementation of (AES) Advanced Encryption Standard algorithm in communication application

    Implementation of (AES) Advanced Encryption Standard algorithm in communication application by Moh, Heng Huong

    Published 2014
    “…The concept of ABS algorithm was firstly studied, including the definition, historical background, and a brief comparison was made between the ABS algorithm with other types of algorithm. …”
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    Undergraduates Project Papers
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  19. 19
    Maintenance dredging: allowable limit for dredge volume differences using SBES and MBES datasets / Raiz Razali

    Maintenance dredging: allowable limit for dredge volume differences using SBES and MBES datasets / Raiz Razali by Razali, Raiz

    Published 2017
    “…The comparative study of dredge volume differences were analyzed to justify the numerical limits in terms of total volumes generated by variable grid sizes, data distributions, cross sections, software, and spatial interpolations based on statistical analysis. …”
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  20. 20
    Maintenance derdging: allowable limit for dredge volume differences using SBES and MBES datasets / Raiz Razali

    Maintenance derdging: allowable limit for dredge volume differences using SBES and MBES datasets / Raiz Razali by Razali, Raiz

    Published 2017
    “…The comparative study of dredge volume differences were analyzed to justify the numerical limits in terms of total volumes generated by variable grid sizes, data distributions, cross sections, software, and spatial interpolations based on statistical analysis. …”
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