Search Results - (( java pattern classification algorithm ) OR ( using generalised selection algorithm ))
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1
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 -
2
A generalised hybrid similarity measure of rough Neutrosophic set with roughness approximation / Hafiza Jamaludin, Nik Nur Auni Rahman Nik Shaidin and Nur Hidayah Abdul Faatah.
Published 2022“…Following that, the derivation algorithm for smartphone selection is presented. The roughness approximation for a rough neutrosophic set is used to compare the similarity results. …”
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Student Project -
3
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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4
Model selection approaches of water quality index data
Published 2016“…Automatic model selection by using algorithm can avoid huge variability in model specification process compared to manual selection.With the employment of algorithm, the right model selected is then also used for forecasting purposes. …”
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Article -
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Neuro-fuzzy genetic algorithm
Published 2009“…This paper proposes a new variant of GA: neuro-fuzzy genetic algorithm with sexual selection. The motivation of this algorithm is to maintain the population diversity throughout the search procedure. …”
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Conference or Workshop Item -
6
Not seeing the forest for the trees: Generalised linear model out-performs random forest in species distribution modelling for Southeast Asian felids
Published 2023“…Two of the most frequently applied algorithms to model species-habitat relationships are Generalised Linear Models (GLM) and Random Forest (RF). …”
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Sure (EM)-Autometrics: An Automated Model Selection Procedure with Expectation Maximization Algorithm Estimation Method (S/O 14925)
Published 2021“…Then, an empirical comparison of four model selection techniques was conducted using national growth rates and water quality index (WQI) data. …”
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Monograph -
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Enhanced Distributed Learning Classifier System For Simulated Mobile Robot Behaviours
Published 2010“…The main problem in robotic system is in selecting the correct behaviour. The aim of this research is to overcome the behaviour selection problem. …”
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10
A scene invariant convolutional neural network for visual crowd counting using fast-lane and sample selective methods
Published 2023“…The proposed model is designed with single column architecture using single filter size and max pooling size. Fast lane connection and sample selective algorithms have been designed specifically to tackle the issue of vanishing gradient and enhance the quality of the model. …”
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Final Year Project / Dissertation / Thesis -
11
Adaptive artificial neural network for power system security assessment and control action
Published 2012“…An essential part of the work was conducted to generalise the tool with the automatic data knowledge generation system and data selection and extraction for AANN inputs. …”
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12
Modelling the yield loss of oil palm due to Ganoderma Basal Stem Rot disease
Published 2016“…Two model building approaches were applied, which are estimation-post-selection and Bayesian model averaging (BMA). For estimation-post-selection approach, there were two subset selection algorithms were applied, namely backward stepwise subset selection and best-subset selection. …”
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13
Modelling the yield loss of oil palm due to ganoderma basal stem rot disease
Published 2016“…Two model building approaches were applied, which are estimation-post-selection and Bayesian model averaging (BMA). For estimation-post-selection approach, there were two subset selection algorithms were applied, namely backward stepwise subset selection and best-subset selection. …”
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Thesis -
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Modelling and control strategies for hydrokinetic energy harnessing
Published 2020“…Subsequently, the turbine power model generalised equation has been proposed to represent the hydrokinetic turbine characteristic using a polynomial estimation equation. …”
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Thesis -
16
Predicting saliency existence using reduced salient features based on compactness and boundary cues
Published 2020“…The selected salient features were trained, tested and compared on 3 learning algorithms which included generalised linear regression, Naïve Bayes, and Support Vector Machine. …”
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17
Modeling financial environments using geometric fractional Brownian motion model with long memory stochastic volatility
Published 2018“…All parameters involved in the developed model are estimated by using innovation algorithm. A simulation study is then conducted to determine the performance of the new model. …”
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18
Trap colour strongly affects the ability of deep learning models to recognize insect species in images of sticky traps
Published 2024“…Using a generalised linear model (GLM) and a Boruta feature selection algorithm, we also showed that the colour and architecture of the sticky traps significantly influenced the performance of the model. …”
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Article