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Improved elitist genetic algorithm for reactive power planning in power system / Mohamad Fadhil Mohd Kamal by Mohd Kamal, Mohamad Fadhil

“…The study conducts comparative analyses on the performances of the elitist genetic algorithms (EGA). Modified steady state genetic algorithms (SSGA) and computationally enhanced steady state genetic algorithm (CSGA) in improving the voltage stability and minimizing loss via the optimization of the RPP in power system. …”
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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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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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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Digital Assessment of Facial Acne Vulgaris by Malik, Aamir Saeed, Ramli, Roshaslinie, Hani, Ahmad Fadzil M, Salih, Yasir, Yap, Felix Boon-Bin, Nisar, Humaira

“…Acne segmentation has been performed using automated modified K-means clustering algorithm and support vector machines (SVM) classifier. …”
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Prevention And Detection Mechanism For Security In Passive Rfid System by Khor, Jing Huey

“…The proposed protocol is designed with lightweight cryptographic algorithm, including XOR, Hamming distance, rotation and a modified linear congruential generator (MLCG). …”
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Digital assessment of facial acne vulgaris by Malik, A.S., Ramli, R., Hani, A.F.M., Salih, Y., Yap, F.B.-B., Nisar, H.

“…Acne segmentation has been performed using automated modified K-means clustering algorithm and support vector machines (SVM) classifier. …”
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UAV-based RGB/NIR aerial imaging for the detection of Ganoderma disease in oil palm plantation / Ezzati Bahrom by Ezzati , Bahrom

“…Best result was obtained from Bit Error filter with 9×9 window size using the NN algorithm with an overall accuracy of 62.41% and a Kappa coefficient of 0.3890. …”
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Sleep as a predictor of depression level using Naïve Bayes / Nur Syakinah Md Roduan by Md Roduan, Nur Syakinah

“…Future work on this subject should improve the findings by modifying the variables used and/or by using other methods in term of data collection or the algorithm itself.…”
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Enhancing predictive performance in statistical modeling: Innovative hybrid best subset feature selection for rice production in Malaysia by Chuan, Zun Liang, Abraham Lim, Bing Sern, Ren Sheng, Tham, David Lau, King Luen, Tan, Chek Cheng

“…These selected determinants aligned with the four dimensions of food security and the key pillars of the Sustainable Development Goals (SDGs). The proposed feature selection method integrates mathematics techniques, specifically the modified Taguchi-based VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) multicriteria decision-making (MCDM) algorithm and three performance metrics. …”
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Identification of suitable explanatory variable in goldfeld-quandt test and robust inference under heteroscedasticity and high leverage points by Muhammadu, Adamu Adamu

“…When the model involves more than one explanatory variables, identifying suitable variable to be used in the ordering becomes problem when there is no prior knowledge of which variable causes the heteroscedasticity problem. This study has developed an algorithm of identifying this variable prior to conducting the Goldfeld-Quandt test in multiple linear regression model. …”
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