Search Results - (( java segmentation learning algorithm ) OR ( program transformation method algorithm ))

Image classification using two dimensional wavelet coefficients with parallel computing by Ong, Yew Fai

“…The raster graphics are decomposed using various kind of wavelets together with numerous type of methods in this research to examine the process and the output coefficients of wavelet transform. …”
Get full text
Get full text

Double-layered hybrid neural network approach for solving mixed integer quadratic bilevel problems by Shamshul Bahar, Yaakob, Prof. Madya, Watada, Junzo

Get full text

Road lane detection using h-maxima and improved hough transform by Kamarul Hawari, Ghazali, Xiao, Rui, Ma, Jie

“…The proposed method has been developed using image processing programming language platform and was tested on collected video data. …”
Get full text
Get full text
Get full text

Using genetic algorithms as image watermarking performance optimizer / Zuhaili Zahid by Zahid, Zuhaili

Get full text
Get full text

Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani ... [et al.] by Mazani, Muhammad Naim, Abdul-Rahman, Shuzlina, Mutalib, Sofianita

Get full text
Get full text
Get full text

Voltage constrained optimal power flow based using genetic algorithm by Yassir Asnawi, Teuku Hasannuddin

“…Effectiveness of the proposed method was tested on IEEE 30 bus system and it has been compared to other optimization of power fl ow using other methods, for example the Evolutionary Programming (EP), Differential Evolution (DE) and Particle Swarm Optimization (PSO) methods. …”
Get full text
Get full text
Get full text

Fast recovery of unknown coefficients in DCT-transformed images by Ong, Sim Ying, Li, Shujun, Wong, Kok Sheik, Tan, Kuan Yew

“…Recent research has shown that linear programming is a powerful tool to recover unknown coefficients in DCT-transformed images. …”
Get full text
Get full text

Partial Least Squares (PLS) Integrated Fourier Transform Infrared (FTIR) Approach for Prediction of Moisture in Transformer Oil and Lubricating Oil by Sim, Siong Fong, Amelia Laccy, Jeffrey Kimura

“…+e PLSR was implemented on IR spectra of a set of blind samples, verified with Karl Fischer (for transformer oil) method and Kittiwake (for lubricating oil) method. …”
Get full text
Get full text
Get full text

The application of Hough Transform for corner detection by Jamaludin, Mohad Fuad

“…Using the Sobel and Kirsch Operator, an image can be extracted and provide the edge points for Hough Transform. Mean while, the Zhang Suen Thinning Method can be used to reduce the edge points into minima points to speed up the algorithm. …”
Get full text
Get full text

Compression Chemical Signal Using Wavelet Transform by ABDUL KARIM, SAMSUL ARIFFIN

“…Meanwhile, Fourier transform (FT) plays a very important role in analytical methods in chemistry through Nuclear Magnetic Resonance (NMR) spectroscopy and Infrared (IR) spectroscopy (Felinger, 1998). …”
Get full text
Get full text

Design and implementation of real data fast fourier transform processor on field programmable gates array by Ahmed, Mohammed Kassim

“…The Fast Fourier Transform (FFT) is an efficient method to achieve the Discrete Fourier Transform (DFT) with less number of operations. …”
Get full text
Get full text

Agent-based extraction algorithm for computational problem solving by Rajabi, Maryam

“…Modeling Computational Problem Solving (CPS) is the main issue in teaching programming where the given text is needed to be transformed into a model then later into a programming language. …”
Get full text
Get full text

Implementation of Galerkin's method and modal analysis for unforced vibration response of a tractor suspension model by Shamshiri, Ramin, Wan Ismail, Wan Ishak

“…In order to develop a stand-alone algorithm implementable in any programming environment, Galerkin’s method was applied over smaller elements of time domain. …”
Get full text
Get full text
Get full text

Leaf condition analysis using convolutional neural network and vision transformer by Yong, Wai Chun, Ng, Kok Why, Haw, Su Cheng, Naveen, Palanichamy, Ng, Seng Beng

“…Through the use of a hybrid deep learning model that combines vision transformer and convolutional neural networks for classification, the algorithm can be optimized. …”
Get full text
Get full text
Get full text

Estimation of Transformers Health Index Based on Condition Parameter Factor and Hidden Markov Model by Selva A.M., Yahaya M.S., Azis N., Ab Kadir M.Z.A., Jasni J., Yang Ghazali Y.Z.

Computational problem solving architectural design based on multi-agent. by Rajabi, Maryam, Mohd Aris, Teh Noranis, Sulaiman, Md. Nasir

“…The application of problem solving methods is seemed to be difficult for novice students in computer programming field. …”
Get full text
Get full text
Get full text

Loss minimization in load flow simulation in power system by Mohamad Firdaus, Mat Hussin

Get full text

Compression of chemical signal using wavelet transform by S.A.A., Karim, M.T., Ismail

“…Meanwhile, Fourier transform (FT) plays a very important role in analytical methods in chemistry through Nuclear Magnetic Resonance (NMR) spectroscopy and Infrared (IR) spectroscopy (Felinger, 1998). …”
Get full text
Get full text
Get full text

Automated time series forecasting by Ismail, Suzilah, Zakaria, Rohaiza, Tuan Muda, Tuan Zalizam

“…While quantitative technique is based on statistical concepts and requires large amount of data in order to formulate the mathematical models.This technique can be classified into projective and causal technique.The projective technique (or univariate modelling) just involve one variable while the causal technique (or econometric modelling) suitable for multi-variables.Since forecasting involves uncertainty, several methods need to be executed on one set of time series data in order to produce accurate forecast.Hence, usually in practice forecaster need to use several softwares to obtain the forecast values.If this practice can be transformed into algorithm (well-defined rules for solving a problem) and then the algorithm can be transformed into a computer program, less time will be needed to compute the forecast values where in business world time is money.In this study, we focused on algorithm development for univariate forecasting techniques only and will expand towards econometric modelling in the future.Two set of simulated data (yearly and non-yearly) and several univariate forecasting techniques (i.e. …”
Get full text
Get full text
Get full text

Development of priority oriented scheduling method to increase the efficiency and reliability for automotive job by Nojabaei, Seyedehfarzaneh

“…Eventually, to evaluate the proposed method of scheduling, simulation is operated. The simulated algorithm shows that applying the proposed method of scheduling increases the efficiency of simulated scheduler in comparison with common method of scheduling. …”
Get full text
Get full text