Search Results - predictive based techniques

Blood glucose level prediction using intelligent based modeling techniques by Aibinu, Abiodun Musa, Salami, Momoh Jimoh Emiyoka, Shafie, Amir Akramin

“…In this paper, new methods of blood glucose (BG) level modeling and prediction using artificial intelligent (AI) based techniques have been suggested. …”
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A new framework in improving prediction of class imbalance for student performance in Oman educational dataset using clustering based sampling techniques by Sultan Alalawi, Sultan Juma

“…The clustering-based sampling techniques improved the overall prediction performance for the minority class. …”
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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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A hybrid technique for dinar coin price prediction using artificial neural network based autogressive modeling technique by Aibinu, Abiodun Musa, Salami, Momoh Jimoh Emiyoka, Ameer Amsa, Mohamad Ghazali

“…Thus in this work, recently proposed artificial neural network based autoregressive (ANN-BASED AR) modeling technique has been applied in predicting accurately the daily price of Islamic Dinar coin. …”
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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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Predicting GDP growth in Malaysia using knowledge-based economy indicators : a comparison between neural network and econometric approaches by Mohd Zukime Hj Mat Junoh

“…The findings indicate that the neural network technique has an increased potential to predict GDP growth based on knowledge based economy indicators compared to the traditional econometric approach.…”
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Solar flare M-class prediction using artificial intelligence techniques by Zavvari, A., Islam, M.T., Anwar, R., Abidin, Z.Z.

“…This paper aims to apply artificial intelligence techniques to predict M-class solar flare. Artificial neural network, support vector machine and naïve bayes techniques are compared to define the best prediction performance accuracy technique. …”
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Academic performance prediction based on voting technique by Mohd Azmi, Muhammad Sufyian, Mohamad Paris, Ikmal Hisyam

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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 Mohamad 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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A proposed memory-based collaborative filtering technique based on a new similarity and MADM methods (CF-NSMA) for improving the recommendation accuracy by Al-Bashiri, Hael Abdullah Hussein

“…These selected metrics are considered as the most common metrics to be used in an accuracy evaluation process of the CF techniques. The result of the experiments revealed that the accuracy of the proposed technique is better compared to the common base memory-based CF methods. …”
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A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models by ul Islam, B., Baharudin, Z.

“…The focus of the paper is to propose a hybrid approach for the selection of the most influential input variables for the training and testing of neural network based hybrid models. The combined influence of the genetic algorithm and correlation analysis are used in this technique. …”
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Neural network and principle component analysis based numerical data analysis for stock market prediction with machine learning techniques by Islam, Mohammad Rabiul, Taha Alshaikhli, Imad Fakhri, Mohd Nor, Rizal, Tumian, Afidalina

“…This structural dataset is analyzed through two main applicable techniques such as Feed-forward Neural Network and Principle Component Analysis for stock market prediction where the remarkable Machine Learning technique hold a variant of features. …”
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Hybrid evolutionary programming-artificial neural network-based lightning prediction system / Dalina Johari by Johari, Dalina

“…For that reason, an efficient optimization technique such as EP was employed in the study to find the best ANN architectures systematically and perform lightning prediction accurately with less computation time. …”
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Hybrid technique using singular value decomposition (SVD) and support vector machine (SVM) approach for earthquake prediction by Astuti, Winda, Akmeliawati, Rini, Sediono, Wahju, Salami, Momoh Jimoh Emiyoka

“…Most of the existing earthquake (EQ) prediction techniques involve a combination of signal processing and geophysics techniques which are relatively complex in computation for analysis of the Earth’s electric field data. …”
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Stream flow analysis and modelling using artificial intelligence techniques / Mohammed A. B. Seyam by Mohammed , A. B. Seyam

“…This prediction can be performed using either process-based or data driven-based models (DDMs). …”
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Improving total sediment load prediction using genetic programming technique (Case Study: Malaysia) by N. A., Ahmad Abdul Ghani, N. A., Kamal, J., Ariffin

“…A new technique called Genetic programming (GP) technique is used to develop a new model to improve the prediction of total sediment load for rivers in tropical Malaysia. …”
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Optimization and prediction of battery electric vehicle driving range using adaptive fuzzy technique by Abulifa, Abdulhadi Abdulsalam

“…The study also developed an algorithm for predictive EMS using fuzzy model predictive control technique based on regression algorithm. …”
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Transformer asset management based on Markov Prediction Model utilizing health index by Yahaya, Muhammad Sharil

“…The prediction model was designed based on the MPM method that utilized two transition probabilities derivation techniques known as maximum likelihood (frequency of transition) and nonlinear least-squares minimization. …”
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A new technique for lubrication control based on friction conditions in CNC machine linear guideways using servomotor current signals in feed drive system / Mahdi Sparham by Mahdi, Sparham

“…Because the predictive errors are low, the ANFIS model is used to build an oil feedback, lubrication control unit (LCU) to be able to predict friction force values based on a comparison between online measured and predicted servomotor current signals. …”
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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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