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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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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

“…This study analyzed the levels of minor, moderate, and severe traffic accidents in the Palembang Police area from 2015 to 2020 using association rule mining and the apriori algorithm. …”
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What drives Chinese youth to use fitness-related health information on social media? an analysis of intrinsic needs, social media algorithms, and source credibility by Zhang, Xin, Tang, Qing Qing, Cai, Ying Ying

“…This study aims to address this gap by integrating Self-Determination Theory (SDT)-based internal factors and external factors (social media algorithms and source credibility). …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

A Predictive Classification Model For Running Injury by Ganesan, Devesh Raj

“…The J48, SMO, Random Forest, and Simple Logistic algorithms were used for 10-fold cross validation mode classification benchmarked on the ZeroR baseline algorithm. …”
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Government policy as a key moderator to contractors’ risk attitudes among Malaysian construction companies by Taofeeq, D. M., Adeleke, A. Q., Lee, Chia Kuang

“…Therefore, the dimensions of factors affecting risk attitudes can be used in another aspect of construction projects such as management factors, economic factors and technical factors. …”
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Development of noise induced hearing loss prediction model using artificial neural network / Siti Fairus Mohd Zain by Mohd Zain, Siti Fairus

“…Hence, this research proposed the development of Artificial Neural Network (ANN) as a tool to identify and predict risk factors contributed to NIHL. …”
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A cluster analysis of population based cancer registry in Brunei Darussalam : an exploratory study by Lai, Daphne Teck Ching, Owais A. Malik

“…The subgroups found have good quality clusters, moderate association with cancer types and high stability. …”
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Smart Agriculture Economics and Engineering: Unveiling the Innovation Behind AI-Enhanced Rice Farming by Zun Liang, Chuan, Tham, Ren Sheng, Tan, Chek Cheng, Abraham Lim, Bing Sern, David Lau, King Luen, Chong, Yeh Sai

“…The analysis utilized a novel modified stacked Multiple Linear Regression- -Support Vector Regression (MLR- -SVR) algorithm, and a novel modified stacked MLR- -Support Vector Regression (MLR- -SVR) algorithm, demonstrating high predictive capability, especially in a limited dataset environment, which the algorithms’ superiority ranked utilizing modified Taguchi-based VIseKriterijumska Optimizacija I Kompromisno Resenje (Taguchi-based VIKOR) multi-criteria decision-making algorithm. …”
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Measuring the effects of strategic capability, entrepreneurial orientation, servant leadership, and assistive technology on success of visually impaired leaders by Harziah, Khalid Yunus

“…Partial Least Squares (PLS) algorithm and bootstrap techniques were used to test the study's hypotheses. …”
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Statistical analysis engine capacity, weight, and torque on MPV fuel consumption using regression and correlation algorithms by Hafidz Salafuddin, Nanang K. Pradipta, Farrah Anis Fazliatul Adnan, Jong Soo Rhee, Dianta Ginting

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Relationship between tiktok usage and youth well-being involving personality characteristics by Tang, Lian

“…The general objective of this study is to examine users’ personality characteristics as a moderating factor toward the relationship between TikTok usage and youth well-being in China. …”
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Termite mounds morphometry in predicting groundwater potentiality using geospatial technology by Bala, Ahmed Jamilu

“…For termite mounds site suitability, the result revealed that moderate to low elevation, rock cover types that are more susceptible to weathering, cultivated areas and shallow water table are factor classes that influence the distribution of termite mounds. …”
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Ethnicity and Dietary Practices as Colorectal Cancer Risk Predictors: A Retrospective Case-control Study in Sabah, Malaysia by Wen-Li Tee, Fredie Robinson, Richard Avoi, Prabakaran Dhanaraj, Nirmal Kaur, Nur Hasanah Sanudin

“…Prediction model was computed using Logistic Regression (LR) and C5 Decision Tree algorithms and compared. Results: Age 60-69 (aOR = 7.44, 95% CI = 3.69-15.00); male (aOR = 4.49, 95% CI = 2.67-7.54), Chinese (aOR = 32.32, 95% CI = 7.20-145.13); moderate physical activity (aOR = 3.67, 95% CI = 2.03-6.63), pickled mango (aOR = 5.66, 95% CI = 1.62-19.81), pork (aOR = 2.29, 95% CI = 1.09-4.79) increased the odds of developing CRC. …”
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Using satellite-measured relative humidity for prediction of Metisa plana’s population in oil palm plantations: a comparative assessment of regression and artificial neural network... by Ruslan, Siti Aisyah, Muharam, Farrah Melissa, Zulkafli, Zed, Omar, Dzolkhifli, Zambri, Muhammad Pilus

“…Regression analyses and artificial neural network (ANN) were also conducted to develop the best prediction model of Metisa plana’s outbreak. …”
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Assessment of near-infrared and mid-infrared spectroscopy for early detection of basal stem rot disease in oil palm plantation by Liaghat, Shohreh

“…The limitations of current detection technique have led to an interest in developing alternative field-based methods that can be used for rapid diagnosis of this disease. …”
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Determination of blood cholinesterase, neurobehavioral performance and genetic damage due to organophosphate exposure among male cocoa farmers in Pahang and Perak, Malaysia by Mohammad, Norsyazwani

“…Chlorpyrifos (group II) is an example of OP used in cocoa farms, and this chemical categorized as a moderately hazardous substance that may cause severe health effects to the plantation workers such as effects to the neurological system, reproductive system, hormonal changes and development of cancer. …”
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