Search Results - (( data interpolation method algorithm ) OR ( parameter visualization learning algorithm ))

Malware Detection using Deep Learning (DL) by Chowdhury Sajadul Islam, Madihah Mohd Saudi, Nur Hafiza Zakaria, Muji Setiyo

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

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

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

“…This analysis is done to verify the algorithm of interpolation method and to find the best interpolation method for implement in the developed android application. …”
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Exponential Parameterized Cubic B-Spline Curves And Surfaces by Ammad, Muhammad

“…In developing B-spline curve interpolation method, an algorithm is presented for interpolating data points. …”
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Analysis of multiexponential transient signals using interpolation-based deconvolution and parametric modeling techniques by Salami, Momoh Jimoh Eyiomika, Ismail, Z.

“…One method of overcoming this d1ficulty is by incorporating the spline interpolation algorithm into the nonlinear preprocessing procedure. …”
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An efficient method of biometric matching using interpolated ECG data by Sidek, Khairul Azami, Sufi, Fahim, Khalil, Ibrahim, Al-Shammary, Dhiah

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

“…Normalized RMSE, RMSE and relative correction are computed for both methods to evaluate the capability of NN to interpolate and extrapolate the missing data. …”

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

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

“…Next, there are three research objectives guideline in this study: i) to identify the best empirical-based method for Satellite-Derived Bathymetry, ii) to evaluate the spatial interpolation technique for generating a calibration dataset and iii) to evaluate the accuracy of Satellite-Derived Bathymetry using the selected empirical-based method and spatial interpolation technique. …”
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New Curve Fitting Method for Petroleum Engineering Applications by Mohd Rosli, Muhammad Aizuddin

“…Unsuitable type of curve fitting may destroy the original feature of the data. This research is about the invention of new curve fitting method that combined two interpolation method which are Cubic Spline and Piecewise Cubic Hermite Interpolation Polynomial (PCHIP) with the reduction of data method. …”
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Visual analysis to investigate the capability of ANFIS in modelling hydrological relationship using synthetic dataset by Ngahzaifa, Ab. Ghani, Zuriani, Mustaffa, Zafril Rizal, M Azmi

“…In using most of the machine learning algorithms including ANFIS, to obtain the best model, the common and normal approach is always by comparing models of different parameter settings based on the goodness-offit statistical measures. …”
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Classification of diabetic retinopathy clinical features using image enhancement technique and convolutional neural network / Abdul Hafiz Abu Samah by Abu Samah, Abdul Hafiz

“…In general, this thesis introduces an automated machine learning algorithm for detecting diabetic retinopathy (DR) in fundus images. …”
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Maintenance dredging: allowable limit for dredge volume differences using SBES and MBES datasets / Raiz Razali by Razali, Raiz

“…Five spatial interpolation methods which are inverse distance weighted (IDW), global polynomial interpolation, local interpolation polynomial, radial basis function (RBF), and ordinary kriging were used to grid the area before performing dredge volume computations. …”
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Maintenance derdging: allowable limit for dredge volume differences using SBES and MBES datasets / Raiz Razali by Razali, Raiz

“…Five spatial interpolation methods which are inverse distance weighted (IDW), global polynomial interpolation, local interpolation polynomial, radial basis function (RBF), and ordinary kriging were used to grid the area before performing dredge volume computations. …”
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Kernerlized Correlation Filters Parameters Optimization For Enhanced Visual Tracking by Ong, Chor Keat

“…Until now, there are still no perfect algorithm to track the target flawlessly. In order to improve the performance, the main idea proposed is implementing optimization technique on the selected parameters and obtain a better performance. …”
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Algorithm optimization and low cost bit-serial architecture design for integer-pixel and sub-pixel motion estimation in H.264/AVC / Mohammad Reza Hosseiny Fatemi by Hosseiny Fatemi, Mohammad Reza

“…To address the computational complexity and memory bandwidth requirement problems of interpolate and search method in the SME of H.264/AVC, we introduce a low complexity algorithm and its hardware architecture for SME with quarter-pixel accuracy that is based on parabolic interpolation free algorithms. …”
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Bicubic B-Spline And Thin Plate Spline On Surface Appoximation by Liew, Khang Jie

“…The noise is defined as the variation in a set of data points. To fit these data points, the approximation methods are considered as a suitable mean compared to the interpolation methods. …”
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Blotch removal using multi-level scanning, shape analysis, and meta heuristic techniques by Khammar, Mohammad Reza

“…These methods were proposed to find the missing data in a better way than the existing approaches. …”
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Underwater Acoustic Communication (UWA) Data Packet Size Optimization based on Throughput by VIRAKRAINGSEI, HAI SOCHEAT

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