Search Results - (( developing content prediction algorithm ) OR ( java pattern classification algorithm ))
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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Thesis -
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Electing the best set of features will help to improve the classifier predictions in terms of the normal and abnormal pattern. The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. …”
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Content adaptive fast motion estimation based on spatio-temporal homogeneity analysis and motion classification
Published 2012“…This is the basis of the proposed algorithm. The proposed algorithm involves a multistage approach that includes motion vector prediction and motion classification using the characteristics of video sequences. …”
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Modelling complex features from histone modification signatures using genetic algorithm for the prediction of enhancer region
Published 2014“…The proposed novel feature is compared to the k-mers content features using datasets from the mouse (mm9) genome. …”
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Maximum Power Prediction for PV System based on P&O Algorithm
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Comparison between multi-objective and single-objective optimization for the modeling of dynamic systems
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Working Paper -
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DNA enhancer prediction using machine learning techniques with novel feature representation
Published 2016“…Current computational enhancer prediction tools are centred at Support Vector Machine (SVM) utilizing sequence content feature—the k-mer. …”
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Application of artificial neural network to simulate phenolic content and antioxidant activity during spontaneous fermentation of Carica papaya leaf / Nur Syahira Mohammad and Moha...
Published 2020“…The aim of the present research project is to develop ANN models for prediction of phenolic content and antioxidant activity of Carica papaya leaf during spontaneous fermentation and to compare the statistical performance of different ANN architecture for the prediction of phenolic content and antioxidant activity. …”
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Intelligent technique for grading tropical fruit using magnetic resonance imaging
Published 2013“…This work shows that ANN and MRI have the capability of predicting the internal content and detect defect fruit based on water proton content. …”
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Modeling the properties of terminal blend crumb rubber modified bitumen with crosslinking additives
Published 2025“…The results also suggest that it is feasible to implement a single type of model developed using the Matern 5/2 GPR algorithm for accurately predicting all the TB-CRMB properties considered. …”
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PREDICTIVE MAXIMUM POWER POINT TRACKING (MPPT) ALGORITHM FOR PERMANENT EXCHANGE MEMBRANE FUEL CELL (PEMFC)
Published 2022“…The milestone of this project is to develop a fully functional PEMFC system based on the mathematical modelling presented in the literature with predictive MPPT control. …”
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Final Year Project Report / IMRAD -
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Characterization of dumping soil and settlement prediction using Monte Carlo approach
Published 2013“…The expected outcome of the research is settlement prediction model of closed dumping area for post-development using Monte Carlo simulation. …”
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A machine learning approach to tourism recommendations system
Published 2025“…This project aims to develop a tourism attractions recommendation system by integrating machine learning recommendation algorithms. …”
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Final Year Project / Dissertation / Thesis -
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A multi-layer dimension reduction algorithm for text mining of news in forex / Arman Khadjeh Nassirtoussi
Published 2015“…Every context requires its own customized text mining algorithms in order to achieve best results. The specific context of this research is market prediction for the foreign exchange market. …”
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Predicting motorcycle customization preferences using machine learning
Published 2025“…A dataset comprising 292 respondents was compiled, capturing variables such as age, social environment, financial capacity, and exposure to automotive communities and content. The classification model was developed using the Random Forest algorithm, Support Vector Machine and Logistic Regression with 5-fold Cross validation. …”
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Conference or Workshop Item -
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Music Recommender System Using Machine Learning Content-Based Filtering Technique
Published 2022“…Machine Learning allows a system to learn gradually to improve its accuracy in predicting future outcome. The objective of this project is to develop a music recommendation system using one of the Machine Learning techniques which is content-based filtering technique. …”
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Undergraduates Project Papers