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

Machine Learning Algorithms for Diabetes Prediction: A Review Paper by Al-Sideiri A., Cob Z.B.C., Drus S.B.M.

Malay sentiment analysis based on combined classification approaches and Senti-lexicon algorithm by Al-Saffar, Ahmed Ali Mohammed, Suryanti, Awang, Tao, Hai, Nazlia, Omar, Al-Saiagh, Wafaa, Al-bared, Mohammed

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Allah’s wisdom in creating the universe as a source of inspiration in artificial intelligence by Mahmod Attar Bashi, Zainab Senan, Maspo, Nur-Adib, Hassan Abdalla Hashim, Aisha, Senan, Shayma

“…Tafakur is encouraged as a means of strengthening faith and achieving wisdom (حِكمة, hikmah), which involves applying knowledge in a just and purposeful manner. The article further explores how nature-inspired algorithms, such as Particle Swarm Optimisation, Ant Colony Optimisation, and the Bat Algorithm, draw from natural processes to solve complex modern problems, reflecting the Quranic encouragement to seek insights from the natural world. …”
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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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Physiological signals as predictors of mental workload: Evaluating single classifier and ensemble learning models by Nailul, Izzah, Sutarto, Auditya Purwandini, Hendi, Ade, Ainiyah, Maslakhatul, Muhammad Nubli, Abdul Wahab

“…A comprehensive evaluation was conducted on several ML algorithms, including both single (Support Vector Machine – SVM, and Naïve Bayes) and ensemble learning (Gradient Boost and AdaBoost) classiers and incorporating selected features and validation approaches. …”
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