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Determining malaria risk factors in Abuja, Nigeria using various statistical approaches by Segun, Oguntade Emmanuel

“…Data on socio-demographic characteristics, knowledge, attitude and practice (KAP) related to malaria and intervention measures were collected using validated questionnaires. …”
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i-Saturate: The New Discovery of Stopping Criterion in Genetic Algorithm by Foo, Fong Yeng, Suhaimi, Azrina, Soo, Kum Yoke

“…A stopping criterion for evolutionary algorithms like Genetic Algorithm (GA) is crucial in determining the optimum solution. …”
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A comparison of decision tree, logistic regression, artificial neural network and random forest algorithms to predict suicidal ideation among young adults in Malaysia by Chan, Sin Yin, Ch’ng, Chee Keong

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Screen-related dependency in children: algorithm for referral from primary care in Malaysia by Abdul Hadi, Azwanis, Mohammad Aidid, Edre, Musa, Ramli

“…Studies have found multiple health concerns and significant associations with psychological disorders related to screen use, which led to the development of screening tools to identify these pre-school children for early measures. …”
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Predictive Modelling of Stroke Occurrence among Patients using Machine Learning by Sures, Narayasamy, Thilagamalar, Maniam

“…Early identification of high-risk patients enables timely intervention and implementation of preventive measures, potentially reducing the burden of stroke-related complications. …”
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Gait pattern detection for amputated prosthetic using fuzzy algorithm by Abdullah, Ahmad Faisal

“…The developed prototype has three inertial measurement units (IMU) sensor to measure and quantify body gait on thigh, shank and foot. …”
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Abnormalities detection in apert syndrome using hierarchical clustering algorithms by Nur Syahirah, Zulkipli, Siti Zanariah, Satari, Wan Nur Syahidah, Wan Yusoff

“…The computerized tomography scan (CTSCAN) data is provided by UMMC recorded from year 2012 until 2020 and the data is measured using MIMICS software by taking the measurement of cranial angles. …”
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The Effectiveness Of Steam Integrated Approach Using Scratch Module On Achievement And Computational Thinking In Learning Electricity Concepts by Tan, Wee Ling

“…In the other hand, qualitative data was also collected through the designed animated stories and games on electricity concepts by students at the end of the intervention. The hypotheses were tested based on inferential statistics using Paired Sample T Test, ANCOVA test, MANCOVA test, ANOVA Repeated Measure test and MANCOVA Repeated Measure test.…”
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A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat by Sakamat, Norzehan

“…Recognition software achieved 87.14%, EPD algorithm achieved 73.57% and HMT algorithm achieved 74.30%) prediction accuracy with OTs. …”
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Analysis of Traffic Accident Patterns Using Association Rule Mining by Yudy, Pranata, Tri Basuki, Kurniawan, Edi Surya, Negara, Ahmad Haidar, Mirza

“…The processed rules can be a foundation for developing predictive models or decision-making tools to mitigate accident risks. …”
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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

“…AdaBoost was identified as the best-performing algorithm. Utilising the model's predictions, healthcare providers can potentially reduce MAE occurrence through timely interventions.…”
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Simulation of COVID-19 outbreaks via graphical user interface (GUI) by Mohd Jamil, Norazaliza, Rosli, Norhayati, Muhammad, Noryanti

“…Conclusions: These findings highlight the importance of the society to obey the intervention measures in preventing the spread of the COVID-19 disease.…”
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Mathematical modelling of covid-19 transmission and vaccine effectiveness for a university by Shahirah Atikah, Mohamad Husnin

“…However, COVID-19 modelling is not a one-size-fits-all approach, as it varies depending on many factors such as vaccination, intervention measures, social distancing and population. …”
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Cyber vulnerabilities in smart grid and safety measures for energy meters in advanced metering system and smart meter communications by Ayob A., Salim Reza S.M., Hussain A., Saad M.H.M., Amin N.

“…As the connected devices have significant limitations in terms of resource and computational processing power, it calls for developing a lightweight safety measures for those devices which would require low processing power and can operate instantaneously without outside intervention. …”

Classification model for chlorophyll content using CNN and aerial images by Wagimin, Mohd Nazuan, Ismail, Mohammad Hafiz, Mohd Fauzi, Shukor Sanim, Seng, Chuah Tse, Abd Latif, Zulkiflee, Muharam, Farrah Melissa, Mohd Zaki, Nurul Ain

“…Therefore, this study proposed a classification approach in developing a deep learning model to analyse the plant’s health condition without human intervention. …”
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Development of an explainable machine learning model for predicting depression in adults with type 2 diabetes mellitus: a cross-sectional SHAP-based analysis of NHANES 2009-2023 by Tang, Yan, Jia, Lei, Zhou, Junjun, Dou, Jin, Qian, Jingjuan, Yi, Xin, Soh, Kim Lam

“…A streamlined version incorporating the top 10 predictors was further developed and implemented as a user-friendly web-based risk estimation tool. …”
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Google the earth: what's next? by Mansor, Shattri

“…The scientific challenge is to develop retrieval algorithms that describe the physical measurement process in sufficient detail, yet are simple enough to allow robust inversion of the remotely sensed signals. …”
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Rapid and accurate Type 2 charging ports detection for electric vehicles using YOLOv8 by Akbar, Hilman Taufik, Ismail, Nanang, Kumalasari, Rin Rin, Gunawan, Teddy Surya, Nugroho, Bambang Setia, Yaacob, Mashkuri

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Role of AI in Combating and Perpetuating Fake News by Safiyyah Ahmad Sabri, Siti Suriani Othman, Eizan Azira Mat Sharif, Kartini Kamaruzzaman

Using the line array representation as an alternative method for understanding whole number multiplication among primary students by Chai, Chin Pheng

“…Using line array, students were capable of inventing own procedures, solving MDM from the left to the right (thousands, hundreds, tens and units) obviously opposes the traditional algorithm of working from right to left. The quantitative data was collected from the 33-item multiplication test which was administered to each student before and after the intervention. …”
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