Search Results - (( linear interpolation method algorithm ) OR ( java application learning algorithm ))

A hermite interpolated LUT for RF power amplifiers by Selvadurai, Dinaagaren, Mohd Sidek, Roslina, Al-Hussaini, Khalid Taher Mohammed, Mohd Ali, Borhanuddin

“…The algorithm employs the hermite interpolation LUT, which has a higher accuracy of interpolation. …”
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Solving fractional differential equations using fractional explicit method by Yip, Lian Yiung, Zanariah Abdul Majid

“…Most of the numerical methods for solving FDEs involved the interpolating points of step size ℎ. …”
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Solving fractional differential equations using fractional explicit method by Yiung, Yip Lian, Abdul Majid, Zanariah

“…Most of the numerical methods for solving FDEs involved the interpolating points of step size ℎ. …”
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Multistep block methods for solving higher order delay differential equations by Hoo, Yann Seong

“…The delay term in DDEs with constant delays is approximated using Hermite interpolation. Linear and Hermite interpolators are used to approximate the delay terms in DDEs of pantograph type. …”
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Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

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Image Fusion for Travel Time Tomography Inversion by Liu, L., Zhao, X., Yin, X., Ashraf, M.A.

“…Firstly, the shortest path method and the linear travel time interpolation were used for forward calculation; then combined the improved Wilkinson iteration method with super relaxation precondition method to reduce the condition number of matrix and accelerate iterative speed, the precise integration method was used to solve the inverse matrix more precisely in tomography inversion process; finally, use wavelet transform for image fusion, obtain the final image. …”
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Use of the simplex method to optimize analytical condition in structural analysis by Hashamdar, H., Ibrahim, Z., Jameel, M., Karbakhsh, R.A., Ismail, Z., Kobraei, M.

“…The nonlinear behavior is approximated as a sequence of successively changing linear systems over a short time interval. Solution of nonlinear equations needs to iterative method such as Iterative algorithm. …”
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Formulation of a new implicit method for group implicit BBDF in solving related stiff ordinary differential equations by Abd Rasid, Norshakila, Ibrahim, Zarina Bibi, Abdul Majid, Zanariah, Ismail, Fudziah

“…The proposed solver satisfied theoretical consistency and zero-stable requirements, leading to a convergent multistep method with third algebraic order. We used the well-known and standard linear and nonlinear stiff IVP problems used in literature for validation to measure the algorithm's accuracy and processor time efficiency. …”
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Developing an intelligent system to acquire meeting knowledge in problem-based learning environments by Chiang, A., Baba, M.S.

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Assessment of landsat 7 scan line corrector-off data gap-filling methods for seagrass distribution mapping by Hossain, Mohammad Shawkat, Bujang, Japar Sidik, Zakaria @ Ya, Muta Harah, Hashim, Mazlan

“…To assess the geometric and radiometric fidelity of the recovered pixels, three potential gap-filling methods were examined: (a) geostatistical neighbourhood similar pixel interpolator (GNSPI); (b) weighted linear regression (WLR) algorithm integrated with the Laplacian prior regularization method; and (c) the local linear histogram matching method. …”
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Direct Block Methods for Solving Special Second Order Ordinary Differential Equations and Their Parallel Implementations by Yap, Lee Ken

“…The first part of the thesis is about the construction and derivation of block methods using linear difference operator. The regions of stability for both explicit and implicit block methods are presented. …”
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An Educational Tool Aimed at Learning Metaheuristics by Kader, Md. Abdul, Jamaluddin, Jamal A., Kamal Z., Zamli

“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment by Ruzita, Ahmad

“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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S-box construction from non-permutation power functions by Isa H., Jamil N., Z'aba M.R.

Gait identification using one-vs-one classifier model by Abdul Raziff, Abdul Rafiez, Sulaiman, Md. Nasir, Mustapha, Norwati, Perumal, Thinagaran

“…Besides that, the factor of linear interpolation is examined. Lastly, k-NN, MLP and SVM algorithm are compared in determining the best accuracy that works best with the OvO classifier model. …”
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Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

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Parallel strategies on a distributed parallel computer system by Alias, Norma

“…The alternative iterative method for IADE and AGE classes is created. There are IADEI method which is based on Richardson's formula and AGE\_BRIAN which is based on linear interpolation concept. …”
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Adaptive GRNN for the modelling of dynamic plants by Yusof, Rubiyah, Khalid, Marzuki, Teo, Lian Seng

“…Good modelling performance was obtained when the GRNN is tested on a linear plant in a noisy environment. It performs better than the well-known Extended Recursive Least Squares identification algorithm. …”
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AI powered asthma prediction towards treatment formulation: an android app approach by Murad, Saydul Akbar, Adhikary, Apurba, Md Muzahid, Abu Jafar, Sarker, Md Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md

“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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