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ANN-Based Binary Backtracking Search Algorithm for VPP Optimal Scheduling and Cost-Effective Evaluation by Hannan M.A., Abdolrasol M.G., Mohamed R., Al-Shetwi A., Ker P., Begum R., Muttaqi K.

A new 128-bit block cipher by Mohd Ali, Fakariah Hani

“…The existence of this new 128-bit block cipher algorithm will increase the protection of the national information infrastructure and also will contribute as an alternative to other cryptographic algorithms in security in the computing industry.…”
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Investigating photovoltaic solar power output forecasting using machine learning algorithms by Essam Y., Ahmed A.N., Ramli R., Chau K.-W., Idris Ibrahim M.S., Sherif M., Sefelnasr A., El-Shafie A.

“…To address this issue, continuous research and development is required to determine the best machine learning (ML) algorithm for PV solar power output forecasting. …”

Sentiment analysis on national cultural tourism using Linear Support Vector Machine (LSVM) / Nur Haida Hanna Samsuddin by Samsuddin, Nur Haida Hanna

“…Moreover, negative reviews may impact the national tourism. This study will perform sentiment analysis on national cultural tourism of tourists reviews on TripAdvisor website. …”
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Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm by Nur Azulia, Kamarudin

“…While in the empirical study, two empirical data sets which are national growth rates and water quality index (WQI) are assessed using root mean square error and geometric root mean square error where 18 models selection procedures of manual and automated approaches are compared. …”
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Harmony Search algorithm-based gasoline consumption modeling for Indonesia by Anggarani, Riesta, Watada, Junzo

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A new hybrid genetic algorithm-sarima-artificial neural network in forecasting Malaysian export amount of palm oil by Chai, Kah Chun

“…Therefore, forecasting of palm oil export is required to help in boosting the nation’s socioeconomic development as well as for the plantation companies to sustain and improve for a better management regarding export. …”
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Analysis of sequence batch reactor for COD and TSS removal identification from septic sludge treatment plant using bio inspired algorithm: a case study in Sarawak by Sie Chun, Ting, Ismail , Amelia Ritahani, Abdul Malik, Marlinda

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A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS by DELLON, NELSON BRUNNIE

“…All of these algorithms will be cross validate using Mean Absolute Error (MAE) in order to compare all of the accuracies of the algorithms.…”
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Wearable based-sensor fall detection system using machine learning algorithm by Ishak, Anis Nadia, Habaebi, Mohamed Hadi, Yusoff, Siti Hajar, Islam, Md. Rafiqul

“…As nations develop and prosper economically, their population ages longer and requires extra healthcare. …”
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Disaster management system based on Levenberg-Marquardt algorithm artificial neural network / W Ahmad Syafiq Hilmi Wan Abdull Hamid ...[et al.] by Wan Abdull Hamid, W Ahmad Syafiq Hilmi, Hussin, Mohamad Fahmi, Samsudin, Khairilmizal, Mohd Yassin, Ahmad Ihsan, Mohd Rafi, Anas

“…Thus, the Disaster Management System Based on Levenberg-Marquardt Algorithm Artificial Neural Network was developed with the aim to help and assisting responders (FRDM first responders) in Malaysia to manage disaster particularly during early stage of response phase. …”
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Development of soft computing prediction model for the influent physicochemical characteristics of sewage treatment plants / Mozafar Ansari by Mozafar , Ansari

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Techno-economic evaluation of off-grid hybrid renewable energy system for rural resort electrification in Malaysia / Monowar Hossain by Monowar, Hossain

“…For these purposes, the standalone ANFIS, ANFIS-PSO (particle swarm optimization),ANFIS-GA (genetic algorithm) and ANFIS-DE (differential evolution) prediction algorithms have been developed in MATLAB platform. …”
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The behavior of MENA oil and non-oil producing countries in international portfolio optimization by Mansourfar, Gholamreza, Mohamad, Shamser, Hassan, Taufiq

“…It is well documented in developed economies that portfolio investment across national borders brings benefits of increasing returns and/or reducing risk. …”
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Machine learning-based risk prediction model for medication administration errors in neonatal intensive care units: a prospective direct observational study by Henry Basil, Josephine, Lim, Wern Han, Syed Ahmad, Sharifah M., Menon Premakumar, Chandini, Mohd Tahir, Nurul Ain, Mhd Ali, Adliah, Seman, Zamtira, Ishak, Shareena, Mohamed Shah, Noraida

“…Feature importance was determined using the permutation-feature importance for robust comparison across ML algorithms. Results: A total of 1093 doses were administered to 170 neonates, with mean age and birth weight of 33.43 (SD ± 5.13) weeks and 1.94 (SD ± 0.95) kg, respectively. …”
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Exploring students' performance in mathematics in Portugal using data analytics techniques: a data science use-case by Hassan, Raini, Fadzleey, Nur Zulfah Insyirah, Ab Hamid, Annesa Maisarah, Abd Aziz, Rabiatul Adawiyah, Jamalullain, Afiefah, Syaiful 'Adli, Fatin Syafiqah

“…The results, as shown in Table III, indicate that the Random Forest Regression model outperforms the Decision Tree model, achieving lower Mean Squared Error (9.6212), Root Mean Squared Error (3.0842), and Mean Absolute Error (2.4060). …”
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Predicting real estate prices with AI: a comparative study of machine learning models by Lim, Eng-Lian, Wong, Doris Hooi-Ten, Masrom, Maslin

“…Multiple predictive models, including traditional regression, ensemble methods (Random Forest, Gradient Boosting Machines), and deep learning (Artificial Neural Networks), were developed and rigorously compared. Model performance was evaluated using Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and R2 on an 80:20 training-testing split. …”
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Artificial Neural Network in Predicting Risk Exposure in Malaysian Shipyard Industry by David Chua, Sing Ngie, Calvin Chin, Yen Chih, Lim, Soh Fong

“…In this study, a multilayer perceptron training using the backpropagation algorithm neural network was developed and presented for risk exposure prediction in the Malaysian shipyard industry. …”
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Comparisons of Signal Subspace Methods for Estimating Visual Evoked Potentials by Yusoff, Mohd Zuki, Nidal S., Kamel

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Predicting serious injuries due to road traffic accidents in Malaysia by means of artificial neural network by Nurul Qastalani, Radzuan, Mohd Hasnun Ariff, Hassan, Anwar, P. P. Abdul Majeed, Rabiu Muazu, Musa, Mohd Azraai, M. Razman, Khairil Anwar, Abu Kassim

“…It was established from the present investigation that the developed ANN model is capable to predict the number of serious injuries from 1997 until 2017 with a mean absolute percentage error of only 3%. …”
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