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A hybrid intelligent algorithm for solving the bilevel programming models by Shamsul Bahar, Yaakob, Prof. Madya, Watada, Junzo

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Comparison on machine learning algorithm to fast detection of malicious web pages by Wan Nurul Safawati, Wan Manan, Mohd Nizam, Mohmad Kahar, Noorlin, Mohd Ali

“…The WEKA (Waikato Environment for Knowledge Analysis) will be used for testing and generating the comparison output. …”
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Second Level Password Generator by Tay, Choo Chuan, Sakidin, Hamzah, Herman, Nanna Suryana, Baharon, Mohd Rizuan

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A hybrid fuzzy logic and extreme learning machine for improving efficiency of circulating water systems in power generation plant by Aziz N.L.A.A., Yap K.S., Bunyamin M.A.

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Identification model for hearing loss symptoms using machine learning techniques by Nasiru Garba Noma

“…There is potential knowledge inherent in vast amounts of untapped and possibly valuable data generated by healthcare providers. …”
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Anomaly detection in system log files using machine learning algorithms / Zahedeh Zamanian by Zahedeh, Zamanian

“…This study uses synthetic CERT Insider Threat v6.2 dataset that includes five different domains of file, logon/logoff, http, device and email. This study generates 200 features from raw system log files that can be fed to machine learning. …”
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Development of a modified adaptive protection scheme using machine learning technique for fault classification in renewable energy penetrated transmission line by Olufemi, Osaji Emmanuel

“…The hybrid Wavelet Multiresolution Analysis and Machine learning algorithm (WMRA-ML) is used to extracts the useful hidden knowledge from decomposed one-cycle fault transient signals (voltage & current) from four Matlab/Simulink CIGRE models. …”
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Comparison of document similarity algorithms in extracting document keywords from an academic paper by Miah, M. Saef Ullah, Junaida, Sulaiman, Azad, Saiful, Kamal Z., Zamli, Rajan, Jose

“…The experiment’s outcome provides us with findings that the machine-generated keywords are mostly similar to the curated list by the domain experts. …”
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Comparison of document similarity algorithms in extracting document keywords from an academic paper by Miah, M. Saef Ullah, Junaida, Sulaiman, Saiful, Azad, Kamal Z., Zamli, Jose, Rajan

“…The experiment’s outcome provides us with findings that the machine-generated keywords are mostly similar to the curated list by the domain experts. …”
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Designing machine learning frameworks for intelligence and gamification research / Nordin Abu Bakar by Abu Bakar, Nordin

“…By defining the data, machines (or computers) will be able to create information and later on transform it into knowledge. …”
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Comparing the knowledge quality in rough classifier and decision tree classifier by Mohamad Mohsin, Mohamad Farhan, Abd Wahab, Mohd Helmy

“…The experimental result shows that Rc and DTc own capability to generate quality knowledge since most of the results are comparable. …”
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A Fusion-Based Framework For Explainable Suicide Attempt Prediction by Nordin, Noratikah

“…The proposed work aims to analyse an explainable learning algorithms for predicting suicide attempts, propose an ontology model for semantically representing the classification risk of suicide attempts and propose an explanation generation algorithm by combining predictions from explainable machine learning and ontology models. …”
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Integration of machine learning approach in item bank test system by Sangodiah, A., Ahmad, R., Ahmad, W.F.W.

“…A quite number of researchers have proposed some algorithms in generating test paper based on some well-defined attributes such as time, question type, knowledge point, difficulty level and others. …”
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Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.] by Saad, Nor Liza, Khairudin, Nurkhairizan, Azizan, Azilawati, Abd Rahman, Abdullah Sani, Ibrahim, Roslina

“…Based on usability study, most users agreed that the tourist mobile application is easier and useful for them. From the machine learning evaluation, Random Forest algorithm has generated the most accurate prediction compared to Decision Tree, Logistic Regression and Generalized Linear Model. …”
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Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance by Allawi, Mohammed Falah, Jaafar, Othman, Mohamad Hamzah, Firdaus, Koting, Suhana, Mohd, Nuruol Syuhadaa, El-Shafie, Ahmed

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Industry 5.0 and Education 5.0: Transforming Vocational Education through Intelligent Technology by Zhang, Hongli, Leong, Wai Yie

“…By analyzing the research gaps in personalized learning paths, emotion-driven learning, crossdisciplinary integration, and long-term learning behavior analysis, the paper proposes four improved algorithms: the adaptive learning path generation algorithm, the emotion-driven personalized learning algorithm, the cross-disciplinary knowledge graph algorithm, and the long-term learning behavior prediction algorithm. …”
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A New Probabilistic Output Constrained Optimization Extreme Learning Machine by Wong S.Y., Yap K.S., Li X.C.

Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining. by Saeed, Walid

“…Total rules number, rules length and rules accuracy for the generation rules are recorded. The accuracy for rules and classification resulted from the TIP method are compared with other methods such as Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) from Rough Set, Genetic Algorithm (GA), Johnson reducer, HoltelR method, Multiple Regression (MR), Neural Network (NN), Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5); all other classifiers that are mostly used in the classification tasks. …”
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Machine Learning and Dyslexia-Diagnostic and Classification System (DCS) for Kids with Learning Disabilities by Rehman Ullah, Khan, Julia Ai Cheng, Lee, Oon, Yin Bee

“…Most experts are using manual techniques to diagnose dyslexia. Machine learning algorithms are capable enough to learn the knowledge of experts and intelligently diagnose and classify dyslexics. …”
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Adaptive Step Size Based Hill-Climb Search Algorithm for MPPT Control of DFIG-WECS With Reduced Power Fluctuation and Improved Tracking Performance by Uddin M.N., Amin I.K.