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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

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The implementation of post-processing data thinning for multibeam echo sounding data by Mahmud, Mohd. Razali, Mohd. Yusof, Othman

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Development of an Automated Technique for Reconstructing Jawi Characters in Historical Documents by Zulcaffle, Tengku Mohd Afendi

“…The algorithms have been implemented using Matlab software version 6.5. …”
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A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network by Salari, Nader, Shohaimi, Shamarina, Najafi, Farid, Nallappan, Meenakshii, Karishnarajah, Isthrinayagy

“…Among numerous artificial intelligence approaches, k-Nearest Neighbor algorithms, genetic algorithms, and artificial neural networks are considered as the most common and effective methods in classification problems in numerous studies. …”
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A Survey of metaheuristic approaches for curriculum based course timetabling problem by Wahid, Juliana, Mohd Hussin, Naimah

“…Purpose - The aim of this paper is to explore approaches applied for solving CBCTT by presenting features of implementation related to it.The idea is to prepare references structure for future implementation.There are numerous surveys related to approaches in University course timetabling problem (UCTP) (Babaei, Karimpour, & Hadidi, 2014; Nandhini & Kanmani, 2009).Usually surveys that carried out involved post enrollment course timetabling problem (PECTT) and curriculum-based course timetabling problem (CBCTT) together in one literature. …”
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Optimisation of energy efficient Assembly Sequence Planning using Moth-Flame Optimisation alghorithm by Muhammad Arif, Abdullah

“…On the other hand, the recent ASP research tends to explore the potential of a relatively new algorithm to optimise ASP. Therefore, the aim of this research is to establish a methodology and implement the relatively new algorithm to optimise the Energy Efficient Assembly Sequence Planning (EE-ASP) problem. …”
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Identifying Cyberspace Users� Tendency in Blog Writing Using Machine Learning Algorithms by AbuSalim, S.W.G., Mostafa, S.A., Mustapha, A., Ibrahim, R., Wahab, M.H.A.

“…The results showed that C4.5 achieves the best overall results of 81 accuracy, 83 precision, and 91 recall, compared with the other two algorithms. …”
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Modeling of Functional Electrical Stimulation (FES): Powered Knee Orthosis (PKO) assisted gait exercise in post-stroke rehabilitation / Adi Izhar Che Ani by Che Ani, Adi Izhar

“…The improvement of the model was implemented by incorporating different sliding windows on the model's input parameters. …”
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Some numerical methods for temperature and mass transfer simulation on the dehydration of herbs by Islam, Md. Rajibul, Alias, Norma

“…This study focuses on the implementation of sequential algorithms on the simulation. 3D geometric visualization by COMSOL Multiphysics and graphical numerical results of FDM approximation in mass and heat transfer demonstrate the results of this study. …”
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The classification of wink-based eeg signals by means of transfer learning models by Jothi Letchumy, Mahendra Kumar

“…The implementation of pre-processing algorithms has been demonstrated to be able to mitigate the signal noises that arises from the winking signals without the need for the use signal filtering algorithms. …”
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Removing the Blurring from X-Ray Image Using BM3D Technique by Islam, A., Zainuddin, N., Karim, S.A.B.A.

“…The Wiener filtering process is implemented in the transform coefficients to a post-thresholding signal in the present BM3D algorithm for improved noise removal. …”
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Numerical methods for solving temperature and mass transfer simulation on dehydration process of tropical fruits by Alias, Norma, Che Teh, Che Rahim, Berahim, Mazniha, Abdul Ghaffar, Zarith Safiza, Islam, Md. Rajibul, Hamzah, Norhafizah

“…This study focuses on the implementation of sequential algorithms on the simulation. 3D geometric visualization by COMSOL Multiphysics and graphical numerical results of FDM approximation in mass and heat transfer demonstrates the results of this research. …”
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Rehabilitation and home health monitoring Based-AI scheduling application for coronary artery disease and cardiovascular patients by Nor Maniha, Abdul Ghani, Lim, Wei Jie, Hoh, Wei Siang, Salmah Anim, Abu Hassan

“…It will enable the interaction between the smart wearable by using the health kit and artificial intelligence algorithms to schedule the best fit rehabilitation activity based on the patient’s health status and live monitoring by medical practitioners.…”
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Integrated artificial intelligence-based classification approach for prediction of acute coronary syndrome by Salari, Nader

“…Statistical analysis was performed using the Friedman test followed by post-hoc tests. Finally, the performance results of the proposed model was benchmarked against the best ones reported as the state-of-the-art classifiers in terms of classification accuracy for the same data sets. …”
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