Search Results - Predictive learning techniques

Machine learning techniques for software bug prediction: a systematic review by Saharudin, Syahana Nur’Ain, Koh, Tieng Wei, Kew, Si Na

“…There are many techniques and approaches that can be used to build the prediction models, such as machine learning. …”
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A review on machine learning techniques used for students’ performance prediction by N.H., Abdul Rahman, Sahimel Azwal, Sulaiman, Nor Azuana, Ramli

“…In this paper, thirty journals and case studies have been reviewed where the most important part highlighted is machine learning techniques that have been used in developing predictive models to predict students’ performance from the previous six years. …”
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Stock market prediction using machine learning techniques by Usmani, M., Adil, S.H., Raza, K., Ali, S.S.A.

“…The results suggest that performance of KSE-100 index can be predicted with machine learning techniques. © 2016 IEEE.…”
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Predicting software defects using machine learning techniques by Aquil, M.A.I., Ishak, W.H.W.

“…While machine learning techniques such as Deep Learning technique, Ensembling, Data Mining, Clustering and Classification are known to help predict the location of defects in code bases, researchers have not yet agreed on which is the best predictor model. …”
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Failure Model Prediction Using Machine Learning Techniques by BZaki, Imanul ‘Aqilah

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Voltage stability index prediction by using genetics algorithm-based machine learning (GBML) technique / Zainab Mohd Ghazali by Mohd Ghazali, Zainab

“…The proposed technique is using Genetic Algorithms-Based Machine Learning (GBML) to predict the voltage stability index. …”
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Development of an intelligent prediction tool for rice yield based on machine learning techniques by Md. Sap, Mohd. Noor, Awan, A. M.

“…Intelligent systems based on machine learning techniques. such as classification. clustering. are gaining Wide spread popularity in real world applications. …”
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Integrated approach for improving cross-project software defect prediction performance by Bala, Yahaya Zakariyau

“…The TFSM approach leverages the strengths of each individual technique, resulting in a synergistic effect that enhances the model’s predictive accuracy. …”
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Optimization and design of machine learning computational technique for prediction of physical separation process by Haiqing Li, Chairun Nasirin, Azher M. Abed, Dmitry Olegovich Bokov, Lakshmi Thangavelu, Haydar Abdulameer Marhoon, Md Lutfor Rahman

“…Indeed, this work indicates application of machine learning technique for a real physical system and optimization of process parameters to achieve the target. …”
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Lung cancer prediction using machine learning techniques / Muhammad Muhaimin Mohd Fauzi and Mohd Nizam Osman by Mohd Fauzi, Muhammad Muhaimin, Osman, Mohd Nizam

“…Therefore, for the aim of this research, machine learning techniques such as K-nearest neighbours, decision tree, and logistic regression were employed to predict the probability of developing cancer.…”
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Predicting COVID-19 trends: a deep dive into time-dependent SIRSD with deep learning technique / Abdul Basit ... [et al.] by Basit, Abdul, Mohamad Zain, Jasni, Jumaat, Abdul Kadir, Hamdan, Nur’Izzati, Mojahid, Hafiza Zoya

“…Another popular prediction technique is deep learning approaches. However, existing methods often fail to accurately capture the dynamic trends of epidemics during their spreading phases in short-term and medium term. …”
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DEVELOPMENT OF STOCK MARKET PREDICTION MOBILE SYSTEM IN BLUE CHIP STOCKS FOR MALAYSIA SHARE MARKET USING DEEP LEARNING TECHNIQUE by Chong, Fong Kim, Yong, Sik Tian, Yap, Choi Sen

“…This paper will look into the use of deep learning technique in developing a stock prediction system in mobile android platform with the features of predicting and recommending stock price mainly for blue chip stock in Malaysia Stock Market. …”
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A comparative analysis of classical machine learning and deep learning techniques for predicting lung cancer survivability by Huang S., Arpaci I., Al-Emran M., K?l?�arslan S., Al-Sharafi M.A.

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Investigating student academic performance based on student demographic data using prediction analysis techniques: a case study of Ministry of Education Malaysia / Rabie Awaluddin... by Mohamad, Rabie Awaluddin

“…The objective for this study are to identify the relationship between student demographic data and academic performance using prediction analysis techniques, evaluate appropriate prediction analysis technique for predicting student academic performance and propose student academic prediction model based on the prediction finding. …”
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Predicting Mental Health Disorder On Twitter Using Machine Learning Techniques by Lim, Shi Ru

“…This study attempted to predict mental health disorders among Twitter users using machine learning techniques. …”
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Prediction of Enhancer Regions using Deep Learning Techniques by Wong, Yu Shiong

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A Novel Stacked Ensemble Approach for Diabetes Prediction: Merging Machine Learning and Deep Learning Techniques by Islam, Md Ziarul, Hassan, Mohd Khairul Azmi, Amir Hussin, Amir 'Aatieff

“…This study introduces a hybrid model combining machine learning (ML) and deep learning (DL) techniques for enhanced diabetes prediction. …”
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Ozone Concentration Forecasting Based on Artificial Intelligence Techniques: A Systematic Review by Yafouz A., Ahmed A.N., Zaini N., El-Shafie A.

“…Decision trees; Forecasting; Multilayer neural networks; Ozone; Predictive analytics; Support vector machines; Artificial intelligence techniques; Machine learning techniques; Multi layer perceptron; Optimization approach; Ozone concentration forecasting; Prediction accuracy; Stand-alone algorithm; Tropospheric ozone concentration; Learning systems; ozone; air quality; algorithm; concentration (composition); machine learning; optimization; ozone; prediction; theoretical study; air pollutant; air quality; artificial intelligence; artificial neural network; concentration (parameter); decision tree; feed forward neural network; forecasting; fuzzy system; human; measurement accuracy; multilayer perceptron; prediction; random forest; recurrent neural network; Review; support vector machine; systematic review…”

Opposition-Based Learning Binary Bat Algorithm as Feature Selection Approach in Taguchi's T-Method by Marlan Z.M., Jamaludin K.R., Harudin N.

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IGUSA: Prediction of Ultimate Strength of Fixed Offshore Structures in Malaysian Waters Using Machine Learning Techniques by Muhaimin Ishak, M.I., Lemma, T.A., Muhammad Daud, M.H., Fatimi, N.M., Rahman, A.R.A., Rahman, A.A., Othman, A.R.

“…As such, it is intended that machine learning techniques to be utilized to perform a prediction for the RSR, subsequently optimizing resources in SIM processes. …”
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