Rozaida Ghazali
Orcid: 0000-0003-0119-0873
According to our database1,
Rozaida Ghazali
authored at least 98 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
An efficient two-state GRU based on feature attention mechanism for sentiment analysis.
Multim. Tools Appl., January, 2024
2023
Threshold center-symmetric local binary convolutional neural networks for bilingual handwritten digit recognition.
Knowl. Based Syst., 2023
Data pre-processing for cardiovascular disease classification: A systematic literature review.
J. Intell. Fuzzy Syst., 2023
An Optimal Neural Network for Hourly and Daily Energy Consumption Prediction in Buildings.
Int. J. Swarm Intell. Res., 2023
Exploring the Effectiveness of GRU Model with SIELU Activation Function for Water Quality Classification.
Proceedings of the 13th IEEE International Conference on Control System, 2023
2022
Optimally organized GRU-deep learning model with Chi<sup>2</sup> feature selection for heart disease prediction.
J. Intell. Fuzzy Syst., 2022
A Generalized Assignment of Standard Minute Value Model to Minimize the Difference Between the Planned and Actual Outputs of a Garment Production Line.
Proceedings of the Recent Advances in Soft Computing and Data Mining, 2022
Deep Learning GRU Model and Random Forest for Screening Out Key Attributes of Cardiovascular Disease.
Proceedings of the Recent Advances in Soft Computing and Data Mining, 2022
The Effect of Trigonometric Basis Function on Functional Link Neural Network with Ant Lion Optimizer.
Proceedings of the Recent Advances in Soft Computing and Data Mining, 2022
Proceedings of the Recent Advances in Soft Computing and Data Mining, 2022
2021
A comparative analysis on question classification task based on deep learning approaches.
PeerJ Comput. Sci., 2021
An enhanced LBP-based technique with various size of sliding window approach for handwritten Arabic digit recognition.
Multim. Tools Appl., 2021
A hybrid approach of firefly and genetic algorithm for solving optimisation problems.
Int. J. Comput. Aided Eng. Technol., 2021
Karachi Stock Exchange Price Prediction using Machine Learning Regression Techniques.
EAI Endorsed Trans. Creative Technol., 2021
A novel rough value set categorical clustering technique for supplier base management.
Computing, 2021
IEEE Access, 2021
Deploying Fuzzy Rough Set and Artificial Immune System Algorithms for Air Quality Prediction.
Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications, 2021
Effects of the Number of Network's Order Used in a Higher Order Neural Network on Time Series Prediction.
Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications, 2021
2020
Neural Comput. Appl., 2020
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2020
Residual Neural Network Vs Local Binary Convolutional Neural Networks for Bilingual Handwritten Digit Recognition.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2020
2019
An Enhanced Approach of Artificial Bee Colony for Energy Management in Energy Efficient Residential Building.
Wirel. Pers. Commun., 2019
Using improved firefly algorithm based on genetic algorithm crossover operator for solving optimization problems.
J. Intell. Fuzzy Syst., 2019
An Efficient Artificial Intelligence Hybrid Approach for Energy Management in Intelligent Buildings.
KSII Trans. Internet Inf. Syst., 2019
Predicting Crude Oil Price Using Fuzzy Rough Set and Bio-Inspired Negative Selection Algorithm.
Int. J. Swarm Intell. Res., 2019
Int. J. Swarm Intell. Res., 2019
Forecasting the Behavior of Gas Furnace Multivariate Time Series Using Ridge Polynomial Based Neural Network Models.
Int. J. Interact. Multim. Artif. Intell., 2019
Evol. Intell., 2019
A new genetically optimized tensor product functional link neural network: an application to the daily exchange rate forecasting.
Evol. Intell., 2019
2018
A Quick Gbest Guided Artificial Bee Colony Algorithm for Stock Market Prices Prediction.
Symmetry, 2018
Functional Expansions Based Multilayer Perceptron Neural Network for Classification Task.
Computación y Sistemas, 2018
Global Gbest Guided-Artificial Bee Colony Algorithm for Numerical Function Optimization.
Comput., 2018
Dynamic ridge polynomial neural network with Lyapunov function for time series forecasting.
Appl. Intell., 2018
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2018
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Functional Link Neural Network with Modified Artificial Bee Colony for Data Classification.
Int. J. Intell. Inf. Technol., 2017
Content-based SMS Classification: Statistical Analysis for the Relationship between Features Size and Classification Performance.
Computación y Sistemas, 2017
2016
Improving Functional Link Neural Network Learning Scheme for Mammographic Classification.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016
Extracting Information in Agricultural Data Using Fuzzy-Rough Sets Hybridization and Clonal Selection Theory Inspired Algorithms.
Int. J. Pattern Recognit. Artif. Intell., 2016
Mammographic Mass Classification Using Functional Link Neural Network with Modified Bee Firefly Algorithm.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016
Multi-step Time Series Forecasting Using Ridge Polynomial Neural Network with Error-Output Feedbacks.
Proceedings of the Soft Computing in Data Science - Second International Conference, 2016
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2016
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2016
A New Multi Objective Optimization to Improve Growth Domestic Produce of Economic Using Metaheuristic Approaches: Case Study of Iraq Economic.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2016
Utilizing Clonal Selection Theory Inspired Algorithms and K-Means Clustering for Predicting OPEC Carbon Dioxide Emissions from Petroleum Consumption.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2016
Chebyshev Multilayer Perceptron Neural Network with Levenberg Marquardt-Back Propagation Learning for Classification Tasks.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2016
Improved Functional Link Neural Network Learning Using Modified Bee-Firefly Algorithm for Classification Task.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2016
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2016
2015
An Efficient Multi Join Query Optimization for Relational Database Management System Using Two Phase Artificial Bess Colony Algorithm.
Proceedings of the Advances in Visual Informatics, 2015
Orchestrating Real-Valued Negative Selection Algorithm with Computational Efficiency for Crude Oil Price.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015
Content-based SMS spam filtering based on the Scaled Conjugate Gradient backpropagation algorithm.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015
Proceedings of the Second International Conference on Advanced Data and Information Engineering, 2015
2014
Int. J. Comput. Intell. Appl., 2014
Honey Bees Inspired Learning Algorithm: Nature Intelligence Can Predict Natural Disaster.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2014
Comparative Performance Analysis of Negative Selection Algorithm with Immune and Classification Algorithms.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2014
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2014
Implementation of Modified Cuckoo Search Algorithm on Functional Link Neural Network for Climate Change Prediction via Temperature and Ozone Data.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014
An Improved Gbest Guided Artificial Bee Colony (IGGABC) Algorithm for Classification and Prediction Tasks.
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014
Functional Link Neural Network with Modified Cuckoo Search Training Algorithm for Physical Time Series Forecasting.
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014
Cauchy criterion for the Henstock-Kurzweil integrability of fuzzy number-valued functions.
Proceedings of the 2014 International Conference on Advances in Computing, 2014
2013
An improved functional link neural network learning using artificial bee colony optimisation for time series prediction.
Int. J. Bus. Intell. Data Min., 2013
Global Artificial Bee Colony-Levenberq-Marquardt (GABC-LM) Algorithm for Classification.
Int. J. Appl. Evol. Comput., 2013
Solving a classification task using Functional Link Neural Networks with modified Artificial Bee Colony.
Proceedings of the Ninth International Conference on Natural Computation, 2013
Functional Link Neural Network - Artificial Bee Colony for Time Series Temperature Prediction.
Proceedings of the Computational Science and Its Applications - ICCSA 2013, 2013
Proceedings of the First International Conference on Advanced Data and Information Engineering, 2013
A Modified Artificial Bee Colony Optimization for Functional Link Neural Network Training.
Proceedings of the First International Conference on Advanced Data and Information Engineering, 2013
Implementation of Modified Cuckoo Search Algorithm on Functional Link Neural Network for Temperature and Relative Humidity Prediction.
Proceedings of the First International Conference on Advanced Data and Information Engineering, 2013
Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013
2012
Int. J. Appl. Metaheuristic Comput., 2012
Training a Functional Link Neural Network Using an Artificial Bee Colony for Solving a Classification Problems
CoRR, 2012
Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012
2011
Dynamic Ridge Polynomial Neural Network: Forecasting the univariate non-stationary and stationary trading signals.
Expert Syst. Appl., 2011
Using Artificial Bee Colony Algorithm for MLP Training on Earthquake Time Series Data Prediction
CoRR, 2011
Proceedings of the Ubiquitous Computing and Multimedia Applications, 2011
Accelerating Learning Performance of Back Propagation Algorithm by Using Adaptive Gain Together with Adaptive Momentum and Adaptive Learning Rate on Classification Problems.
Proceedings of the Ubiquitous Computing and Multimedia Applications, 2011
Proceedings of the iiWAS'2011, 2011
Proceedings of the iiWAS'2011, 2011
Proceedings of the Software Engineering and Computer Systems, 2011
Learning Efficiency Improvement of Back Propagation Algorithm by Adaptively Changing Gain Parameter together with Momentum and Learning Rate.
Proceedings of the Software Engineering and Computer Systems, 2011
Proceedings of the 2011 Developments in E-systems Engineering, 2011
2010
The Development of Improved Back-Propagation Neural Networks Algorithm for Predicting Patients with Heart Disease.
Proceedings of the Information Computing and Applications - First International Conference, 2010
Proceedings of the Database Theory and Application, Bio-Science and Bio-Technology, 2010
2009
Non-stationary and stationary prediction of financial time series using dynamic ridge polynomial neural network.
Neurocomputing, 2009
2008
The application of ridge polynomial neural network to multi-step ahead financial time series prediction.
Neural Comput. Appl., 2008
Dynamic Ridge Polynomial Neural Networks for multi-step financial time-series prediction.
Int. J. Intell. Syst. Technol. Appl., 2008
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008
2007
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007
2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Higher order neural networks and their applications to financial time series prediction.
Proceedings of the Artificial Intelligence and Soft Computing, 2006