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Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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The influence of Robo-advisory services on Malaysia university student’s investment intention by Tan, Yung Hui, Lim, Jia Eng, Lim, Keh Xin, Zeng, Yi

“…This study investigates the influence of perceived risk, trust, and perceived ease of use on the intention to adopt roboadvisory services among Malaysian university students. …”
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A New Mobile Botnet Classification based on Permission and API Calls by Yusof, M, Saudi, MM, Ridzuan, F

“…Currently, mobile botnet attacks have shifted from computers to smartphones due to its functionality, ease to exploit, and based on financial intention. Mostly, it attacks Android due to its popularity and high usage among end users. …”

Correlation model in the adoption of E-payment services: A machine learning approach by Tan, Xi En

“…The end goal of the project is to develop a model that identifies the important features that affect user intention to adopt e-payment.…”
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Modeling purchase intention towards edible bird's nest products among Malaysians by Mohamad Shukri, Nurul Nabilah Huda, Mohd Nawi, Nolila, Abdullah, Amin Mahir, Man, Norsida

“…Results showed logistic regression outer perform other classifiers to develop the purchase intention model. There are five variables identified which consist of age, gender, price, accessibility and halal authorize. …”
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Electroencephalogram signal interpretation system for mobile robot by Hasan, Intan Helina

“…The aim of this project is to develop an algorithm that can choose optimal four electrodes for signal recording, and convert one thought into multiple commands with the chosen electrodes. …”
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Machine learning in predicting anti-money laundering compliance with protection motivation theory among professional accountants by Masrom, S., Tarmizi, M.A., Halid, S., Rahman, R.A., Abd Rahman, A.S., Ibrahim, R.

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A new mobile botnet classification based on permission and API calls by Yusof M., Madihah Mohd Saudi, Farida Hazwani Mohd Ridzuan

Reverse migration prediction model based on machine learning / Azreen Anuar by Anuar, Azreen

“…In addition, the results from the three (3) algorithms that were tested showed that Random Forest outperforms other algorithms by acquiring an accuracy and classification error to predict reverse migration. …”
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A comprehensive analysis of surface electromyography for control of lower limb exoskeleton by Abdelhakim, Deboucha

“…Results showed that the filter parameters selection could significantly affect the amplitude of the sEMG as well as it may conceal the exact onset/offset time of the signal. The developed algorithm for the crosstalk recordings detection shows ability in determining the presence of the overlapped measurements period. …”
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Resource management algorithms for wavelength division multiplexing optical metro slotted ring networks by Mohammed Abdulrazak, Fuaad Hasan

“…This research presents novel algorithms to enhance the performance of the Wavelength Division Multiplexing (WDM) dual ring network. …”
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Brain computer interface based wheelchair for disable people using electroencephalography signal by Ibrahimy, Muhammad Ibn

“…However, an advanced and simple classification algorithm for motor imagery related BCI system has already been developed with Mahalanobis Discriminant Analysis (MDA) technique. …”
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Brain computer interface based wheelchair for disable people using electroencephalography signal by Ibrahimy, Muhammad Ibn

“…However, an advanced and simple classification algorithm for motor imagery related BCI system has already been developed with Mahalanobis Discriminant Analysis (MDA) technique. …”
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Navigating AI in higher education: examining overreliance and plagiarism among UiTM Tapah students by Sarkam, Nor Aslily, Mohammad, Nor Hazlina, Saiful Lizam, Nurizatie Farhanim, Azmi, Nurul Ain, Mazli, Nadhira Yasmin, Mohd Dzahir, Mizan Qamalia, Md Isa, Ros Amira Arisha

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Unlocking insights: A comprehensive dataset analysis on the acceptance of computational thinking skills among undergraduate university students through the lens of extended techno... by Rosli, Mohd Shafie, Awalludin, Muhammad Fairuz Nizam, Tau Han, Cheong T, Saleh, Nor Shela, Md Noor, Harrinni

“…This high explanatory power positions the dataset as a superior resource for replication, benchmarking, and broader applicability in diverse contexts, thereby enhancing the understanding of computational thinking acceptance across different populations and settings. This dataset stands among the pioneering efforts to assess the novel covariance-based structural equation model algorithm within SmartPLS 4, presenting a valuable resource for future research employing the same mechanism.…”
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