Search Results - (( java automatic optimization algorithm ) OR ( using generalised selection algorithm ))

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  1. 1
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…Hence, the objective of this research is to propose suitable and optimize algorithm for ANPR system on Android mobile phone. …”
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  2. 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.

    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. by Jamaludin, Hafiza, Rahman Nik Shaidin, Nik Nur Auni, Abdul Faatah, Nur Hidayah

    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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  3. 3
    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization

    Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

    Published 2019
    “…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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  4. 4
    Model selection approaches of water quality index data

    Model selection approaches of water quality index data by Kamarudin, Nur Azulia, Ismail, Suzilah

    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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  5. 5
    An ensemble learning method for spam email detection system based on metaheuristic algorithms

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…Feature subset selection and classifier ensemble learning are familiar techniques with high ability to optimize above problems. Recently, various techniques based on different algorithms have been developed. …”
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  6. 6
    Neuro-fuzzy genetic algorithm

    Neuro-fuzzy genetic algorithm by Varnamkhasti, Mohammad Jalali, Lee, Lai Soon

    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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  7. 7
    Not seeing the forest for the trees: Generalised linear model out-performs random forest in species distribution modelling for Southeast Asian felids

    Not seeing the forest for the trees: Generalised linear model out-performs random forest in species distribution modelling for Southeast Asian felids by Chiaverini, Luca, Macdonald, David W., Hearn, Andrew J., Kaszta, Zaneta, Ash, Eric, Bothwell, Helen M., Can, Ozgun Emre, Channa, Phan, Clements, Gopalasamy Reuben *, Haidir, Iding Achmad, Kyaw, Pyae Phyoe, Moore, Jonathan H., Rasphone, Akchousanh, Tan, Cedric Kai Wei, Cushman, Samuel A.

    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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  8. 8
    Sure (EM)-Autometrics: An Automated Model Selection Procedure with Expectation Maximization Algorithm Estimation Method (S/O 14925)

    Sure (EM)-Autometrics: An Automated Model Selection Procedure with Expectation Maximization Algorithm Estimation Method (S/O 14925) by Kamarudin, Nur Azulia

    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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  9. 9
    An improvement of back propagation algorithm using halley third order optimisation method for classification problems

    An improvement of back propagation algorithm using halley third order optimisation method for classification problems by Abdul Hamid, Norhamreeza

    Published 2020
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  10. 10
    Enhanced Distributed Learning Classifier System For Simulated Mobile Robot Behaviours

    Enhanced Distributed Learning Classifier System For Simulated Mobile Robot Behaviours by Baneamoon, Saeed Mohammed Saeed

    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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  11. 11
    A scene invariant convolutional neural network for visual crowd counting using fast-lane and sample selective methods

    A scene invariant convolutional neural network for visual crowd counting using fast-lane and sample selective methods by Teoh, Shen Khang

    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
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  12. 12
    Adaptive artificial neural network for power system security assessment and control action

    Adaptive artificial neural network for power system security assessment and control action by Al-Masri, Ahmed Naufal A.

    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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  13. 13
    Modelling the yield loss of oil palm due to Ganoderma Basal Stem Rot disease

    Modelling the yield loss of oil palm due to Ganoderma Basal Stem Rot disease by Assis Kamu

    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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  14. 14
    Modelling the yield loss of oil palm due to ganoderma basal stem rot disease

    Modelling the yield loss of oil palm due to ganoderma basal stem rot disease by Assis bin Kamu

    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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  15. 15
    Modelling and Forecasting the Kuala Lumpur Composite Index Rate of Returns Using Generalised Autoregressive Conditional Heteroscedasticity Models

    Modelling and Forecasting the Kuala Lumpur Composite Index Rate of Returns Using Generalised Autoregressive Conditional Heteroscedasticity Models by Abdul Muthalib, Maiyastri

    Published 2004
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  16. 16
    Modelling and control strategies for hydrokinetic energy harnessing

    Modelling and control strategies for hydrokinetic energy harnessing by Wan Ismail, Ibrahim

    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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  17. 17
    Predicting saliency existence using reduced salient features based on compactness and boundary cues

    Predicting saliency existence using reduced salient features based on compactness and boundary cues by Nadzri, Nur Zulaikhah

    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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  18. 18
    Modeling financial environments using geometric fractional Brownian motion model with long memory stochastic volatility

    Modeling financial environments using geometric fractional Brownian motion model with long memory stochastic volatility by Al Haqyan, Mohammed Kamel Mohammed

    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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  19. 19
    Trap colour strongly affects the ability of deep learning models to recognize insect species in images of sticky traps

    Trap colour strongly affects the ability of deep learning models to recognize insect species in images of sticky traps by Song-Quan Ong, Toke Thomas Høye

    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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