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Rozaida Bt Ghazali – Rozaida Gazali
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2020 – today
- 2024
[j37]Syed Irteza Hussain Jafri
, Rozaida Ghazali, Irfan Javid, Yana Mazwin Mohmad Hassim, Mubashir Hayat Khan:
A Hybrid Solution For The Cold Start Problem In Recommendation. Comput. J. 67(5): 1637-1644 (2024)- [j36]Muhammad Zulqarnain, Rozaida Ghazali, Muhammad Aamir, Yana Mazwin Mohmad Hassim:
An efficient two-state GRU based on feature attention mechanism for sentiment analysis. Multim. Tools Appl. 83(1): 3085-3110 (2024) - 2023
- [j35]Fazli Wahid, Rozaida Ghazali, Lokman Hakim Bin Ismail, Ali M. Algarwi Aseere:
An Optimal Neural Network for Hourly and Daily Energy Consumption Prediction in Buildings. Int. J. Swarm Intell. Res. 14(1): 1-13 (2023) - [j34]Irfan Javid, Rozaida Ghazali, Muhammad Zulqarnain, Norlida Hassan:
Data pre-processing for cardiovascular disease classification: A systematic literature review. J. Intell. Fuzzy Syst. 44(1): 1525-1545 (2023) - [j33]Ebrahim Al-wajih, Rozaida Ghazali:
Threshold center-symmetric local binary convolutional neural networks for bilingual handwritten digit recognition. Knowl. Based Syst. 259: 110079 (2023) - [c58]Abdullahi Abdi Abubakar Hassan, Nordiana Rahim, Rozaida Ghazali, Norhanifah Murli:
Exploring the Effectiveness of GRU Model with SIELU Activation Function for Water Quality Classification. ICCSCE 2023: 138-143 - 2022
- [j32]Irfan Javid, Ahmed Khalaf Zager Alsaedi, Rozaida Ghazali, Yana Mazwin Mohmad Hassim, Muhammad Zulqarnain:
Optimally organized GRU-deep learning model with Chi2 feature selection for heart disease prediction. J. Intell. Fuzzy Syst. 42(4): 4083-4094 (2022) - [c57]Irfan Javid, Rozaida Ghazali, Muhammad Zulqarnain, Noor Aida Husaini:
Deep Learning GRU Model and Random Forest for Screening Out Key Attributes of Cardiovascular Disease. SCDM 2022: 160-170 - [c56]Sibtain Ahmed Butt, Umer Iqbal, Rozaida Ghazali, Ijaz Ali Shoukat, Ayodele Lasisi, Ahmed Khalaf Zager Al Saedi:
An Improved Convolutional Neural Network for Speech Emotion Recognition. SCDM 2022: 194-201 - [c55]Yana Mazwin Mohmad Hassim, Rozaida Ghazali:
The Effect of Trigonometric Basis Function on Functional Link Neural Network with Ant Lion Optimizer. SCDM 2022: 245-251 - [c54]Z. A. M. S. Juman, Salama A. Mostafa, Rozaida Ghazali, K. S. M. Karunamuni, H. M. N. S. Kumari:
A Generalized Assignment of Standard Minute Value Model to Minimize the Difference Between the Planned and Actual Outputs of a Garment Production Line. SCDM 2022: 272-281 - [e6]Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris, Jemal H. Abawajy, Nureize Arbaiy:
Recent Advances in Soft Computing and Data Mining - Proceedings of the Fifth International Conference on Soft Computing and Data Mining (SCDM 2022), May 30-31, 2022, Virtual Event. Lecture Notes in Networks and Systems 457, Springer 2022, ISBN 978-3-031-00827-6 [contents] - 2021
- [j31]Muhammad Asghar Khan, Habib Shah, Sajjad Ur Rehman, Neeraj Kumar, Rozaida Ghazali, Danish Shehzad, Insaf Ullah:
Securing Internet of Drones With Identity-Based Proxy Signcryption. IEEE Access 9: 89133-89142 (2021) - [j30]Jamal Uddin, Rozaida Ghazali, Mustafa Mat Deris, Umer Iqbal, Ijaz Ali Shoukat:
A novel rough value set categorical clustering technique for supplier base management. Computing 103(9): 2061-2091 (2021) - [j29]Mazhar Hameed, Khurum Iqbal, Rozaida Ghazali, Fawwad Hassan Jaskani, Zunaira Saman:
Karachi Stock Exchange Price Prediction using Machine Learning Regression Techniques. EAI Endorsed Trans. Creative Technol. 8(28): e5 (2021) - [j28]Fazli Wahid, Rozaida Ghazali:
A hybrid approach of firefly and genetic algorithm for solving optimisation problems. Int. J. Comput. Aided Eng. Technol. 14(1): 62-79 (2021) - [j27]Ebrahim Al-wajih, Rozaida Ghazali:
An enhanced LBP-based technique with various size of sliding window approach for handwritten Arabic digit recognition. Multim. Tools Appl. 80(16): 24399-24418 (2021) - [j26]Muhammad Zulqarnain, Ahmed Khalaf Zager Alsaedi, Rozaida Ghazali, Muhammad Ghulam Ghouse, Wareesa Sharif, Noor Aida Husaini:
A comparative analysis on question classification task based on deep learning approaches. PeerJ Comput. Sci. 7: e570 (2021) - [c53]Noor Aida Husaini, Rozaida Ghazali, Nureize Arbaiy, Ayodele Lasisi:
Effects of the Number of Network's Order Used in a Higher Order Neural Network on Time Series Prediction. RoViSP 2021: 670-676 - [c52]Ayodele Lasisi, Rozaida Ghazali, Lokman Hakim Bin Ismail, Noor Aida Husaini:
Deploying Fuzzy Rough Set and Artificial Immune System Algorithms for Air Quality Prediction. RoViSP 2021: 997-1002 - 2020
- [j25]Waddah Waheeb, Rozaida Ghazali:
A novel error-output recurrent neural network model for time series forecasting. Neural Comput. Appl. 32(13): 9621-9647 (2020) - [c51]Ebrahim Al-wajih, Rozaida Ghazali, Yana Mazwin Mohmad Hassim:
Residual Neural Network Vs Local Binary Convolutional Neural Networks for Bilingual Handwritten Digit Recognition. SCDM 2020: 25-34 - [c50]Yana Mazwin Mohmad Hassim, Rozaida Ghazali:
Training Functional Link Neural Network with Ant Lion Optimizer. SCDM 2020: 130-139 - [e5]Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris, Jemal H. Abawajy:
Recent Advances on Soft Computing and Data Mining - Proceedings of the Fourth International Conference on Soft Computing and Data Mining (SCDM 2020), Melaka, Malaysia, January 22-23, 2020. Advances in Intelligent Systems and Computing 978, Springer 2020, ISBN 978-3-030-36055-9 [contents]
2010 – 2019
- 2019
- [j24]Fazli Wahid, Rozaida Ghazali:
Hybrid of firefly algorithm and pattern search for solving optimization problems. Evol. Intell. 12(1): 1-10 (2019) - [j23]Waddah Waheeb, Rozaida Ghazali:
A new genetically optimized tensor product functional link neural network: an application to the daily exchange rate forecasting. Evol. Intell. 12(4): 593-608 (2019) - [j22]Waddah Waheeb, Rozaida Ghazali:
Forecasting the Behavior of Gas Furnace Multivariate Time Series Using Ridge Polynomial Based Neural Network Models. Int. J. Interact. Multim. Artif. Intell. 5(5): 126-133 (2019) - [j21]Zeeshan Danish, Habib Shah, Nasser Tairan, Rozaida Gazali, Akhtar Badshah:
Global Artificial Bee Colony Search Algorithm for Data Clustering. Int. J. Swarm Intell. Res. 10(2): 48-59 (2019) - [j20]Ayodele Lasisi, Nasser Tairan, Rozaida Ghazali, Wali Khan Mashwani, Sultan Noman Qasem, Harish Garg, Anuja Arora:
Predicting Crude Oil Price Using Fuzzy Rough Set and Bio-Inspired Negative Selection Algorithm. Int. J. Swarm Intell. Res. 10(4): 25-37 (2019) - [j19]Fazli Wahid, Lokman Hakim Bin Ismail, Rozaida Ghazali, Muhammad Aamir:
An Efficient Artificial Intelligence Hybrid Approach for Energy Management in Intelligent Buildings. KSII Trans. Internet Inf. Syst. 13(12): 5904-5927 (2019) - [j18]Fazli Wahid, Ahmed Khalaf Zager Alsaedi, Rozaida Ghazali:
Using improved firefly algorithm based on genetic algorithm crossover operator for solving optimization problems. J. Intell. Fuzzy Syst. 36(2): 1547-1562 (2019) - [j17]Fazli Wahid, Rozaida Ghazali, Lokman Hakim Bin Ismail:
An Enhanced Approach of Artificial Bee Colony for Energy Management in Energy Efficient Residential Building. Wirel. Pers. Commun. 104(1): 235-257 (2019) - [e4]Jemal H. Abawajy, Mohamed Othman, Rozaida Ghazali, Mustafa Mat Deris, Hairulnizam Mahdin, Tutut Herawan:
Proceedings of the Second International Conference on Advanced Data and Information Engineering, DaEng 2015, Bali, Indonesia, April 25-26, 2015. Lecture Notes in Electrical Engineering 520, Springer 2019, ISBN 978-981-13-1797-2 [contents] - 2018
- [j16]Waddah Waheeb, Rozaida Ghazali, Abir Jaafar Hussain:
Dynamic ridge polynomial neural network with Lyapunov function for time series forecasting. Appl. Intell. 48(7): 1721-1738 (2018) - [j15]Habib Shah, Nasser Tairan, Harish Garg, Rozaida Ghazali:
Global Gbest Guided-Artificial Bee Colony Algorithm for Numerical Function Optimization. Comput. 7(4): 69 (2018) - [j14]Umer Iqbal, Rozaida Ghazali, Muhammad Faheem Mushtaq, Afshan Kanwal:
Functional Expansions Based Multilayer Perceptron Neural Network for Classification Task. Computación y Sistemas 22(4) (2018) - [j13]Habib Shah, Nasser Tairan, Harish Garg, Rozaida Ghazali:
A Quick Gbest Guided Artificial Bee Colony Algorithm for Stock Market Prices Prediction. Symmetry 10(7): 292 (2018) - [c49]David C. Reid, Abir Jaafar Hussain, Hissam Tawfik, Rozaida Ghazali, Dhiya Al-Jumeily:
Forecasting Natural Events Using Axonal Delay. CEC 2018: 1-6 - [c48]Fazli Wahid, Rozaida Ghazali, Habib Shah:
An Improved Hybrid Firefly Algorithm for Solving Optimization Problems. SCDM 2018: 14-23 - [c47]Umer Iqbal, Rozaida Ghazali, Habib Shah:
Fibonacci Polynomials Based Functional Link Neural Network for Classification Tasks. SCDM 2018: 234-242 - [e3]Rozaida Ghazali, Mustafa Mat Deris, Nazri Mohd Nawi, Jemal H. Abawajy:
Recent Advances on Soft Computing and Data Mining - Proceedings of the Third International Conference on Soft Computing and Data Mining (SCDM 2018), Johor, Malaysia, February 06-07, 2018. Advances in Intelligent Systems and Computing 700, Springer 2018, ISBN 978-3-319-72549-9 [contents] - [i3]Waddah Waheeb, Rozaida Ghazali:
Multi-step Time Series Forecasting Using Ridge Polynomial Neural Network with Error-Output Feedbacks. CoRR abs/1811.11620 (2018) - 2017
- [j12]Jamal Uddin, Rozaida Ghazali, Mustafa Mat Deris, Rashid Naseem, Habib Shah:
A survey on bug prioritization. Artif. Intell. Rev. 47(2): 145-180 (2017) - [j11]Waddah Waheeb, Rozaida Ghazali:
Content-based SMS Classification: Statistical Analysis for the Relationship between Features Size and Classification Performance. Computación y Sistemas 21(4) (2017) - [j10]Tutut Herawan, Yana Mazwin Mohmad Hassim, Rozaida Ghazali:
Functional Link Neural Network with Modified Artificial Bee Colony for Data Classification. Int. J. Intell. Inf. Technol. 13(3): 1-14 (2017) - [e2]Tutut Herawan, Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris:
Recent Advances on Soft Computing and Data Mining - The Second International Conference on Soft Computing and Data Mining (SCDM-2016), Bandung, Indonesia, August 18-20, 2016, Proceedings. Advances in Intelligent Systems and Computing 549, Springer 2017, ISBN 978-3-319-51279-2 [contents] - 2016
- [j9]Ayodele Lasisi, Rozaida Ghazali, Mustafa Mat Deris, Tutut Herawan, Fola Lasisi:
Extracting Information in Agricultural Data Using Fuzzy-Rough Sets Hybridization and Clonal Selection Theory Inspired Algorithms. Int. J. Pattern Recognit. Artif. Intell. 30(9): 1660008:1-1660008:31 (2016) - [c46]Yana Mazwin Mohmad Hassim, Rozaida Ghazali, Noorhaniza Wahid:
Improved Functional Link Neural Network Learning Using Modified Bee-Firefly Algorithm for Classification Task. SCDM 2016: 71-80 - [c45]Ayodele Lasisi, Rozaida Ghazali, Haruna Chiroma:
Utilizing Clonal Selection Theory Inspired Algorithms and K-Means Clustering for Predicting OPEC Carbon Dioxide Emissions from Petroleum Consumption. SCDM 2016: 101-110 - [c44]Umer Iqbal, Rozaida Ghazali:
Chebyshev Multilayer Perceptron Neural Network with Levenberg Marquardt-Back Propagation Learning for Classification Tasks. SCDM 2016: 162-170 - [c43]Waddah Waheeb, Rozaida Ghazali, Tutut Herawan:
Time Series Forecasting Using Ridge Polynomial Neural Network with Error Feedback. SCDM 2016: 189-200 - [c42]Norlida Hassan, Rozaida Ghazali, Kashif Hussain:
Training ANFIS Using Catfish-Particle Swarm Optimization for Classification. SCDM 2016: 201-210 - [c41]Jamal Uddin, Rozaida Ghazali, Mustafa Mat Deris:
Does Number of Clusters Effect the Purity and Entropy of Clustering? SCDM 2016: 355-365 - [c40]Ahmed Khalaf Zager Al Saedi, Rozaida Ghazali, Mustafa Mat Deris:
A New Multi Objective Optimization to Improve Growth Domestic Produce of Economic Using Metaheuristic Approaches: Case Study of Iraq Economic. SCDM 2016: 496-505 - [c39]Waddah Waheeb, Rozaida Ghazali:
Multi-step Time Series Forecasting Using Ridge Polynomial Neural Network with Error-Output Feedbacks. SCDS 2016: 48-58 - [c38]Yana Mazwin Mohmad Hassim, Rozaida Ghazali:
Mammographic Mass Classification Using Functional Link Neural Network with Modified Bee Firefly Algorithm. ICSI (1) 2016: 192-199 - [p1]Yana Mazwin Mohmad Hassim, Rozaida Ghazali:
Improving Functional Link Neural Network Learning Scheme for Mammographic Classification. Advances in Neural Networks 2016: 213-221 - 2015
- [c37]Habib Shah, Haruna Chiroma, Tutut Herawan, Rozaida Ghazali, Nasser Tairan:
An Efficient Bio-inspired Bees Colony for Breast Cancer Prediction. DaEng 2015: 597-608 - [c36]Waddah Waheeb, Rozaida Ghazali, Mustafa Mat Deris:
Content-based SMS spam filtering based on the Scaled Conjugate Gradient backpropagation algorithm. FSKD 2015: 675-680 - [c35]Ayodele Lasisi, Rozaida Ghazali, Tutut Herawan, Fola Lasisi, Mustafa Mat Deris:
Knowledge extraction of agricultural data using artificial immune system. FSKD 2015: 1653-1658 - [c34]Ayodele Lasisi, Rozaida Ghazali, Tutut Herawan, Haruna Chiroma:
Orchestrating Real-Valued Negative Selection Algorithm with Computational Efficiency for Crude Oil Price. ICIC (3) 2015: 387-396 - [c33]Ahmed Khalaf Zager Alsaedi, Rozaida Ghazali, Mustafa Mat Deris:
An Efficient Multi Join Query Optimization for Relational Database Management System Using Two Phase Artificial Bess Colony Algorithm. IVIC 2015: 213-226 - 2014
- [j8]Noor Aida Husaini, Rozaida Ghazali, Nazri Mohd Nawi, Lokman Hakim Bin Ismail, Mustafa Mat Deris, Tutut Herawan:
Pi-Sigma Neural Network for a One-Step-Ahead temperature Forecasting. Int. J. Comput. Intell. Appl. 13(4) (2014) - [c32]Tutut Herawan, Zailani Abdullah, Haruna Chiroma, Eka Novita Sari, Rozaida Ghazali, Nazri Mohd Nawi:
Cauchy criterion for the Henstock-Kurzweil integrability of fuzzy number-valued functions. ICACCI 2014: 1329-1333 - [c31]Endy Marlina, Arya Ronald, Sudaryono, Rozaida Ghazali, Tutut Herawan:
Spatial Control of Post-earthquake Market Based on Paseduluran. ICCSA (4) 2014: 95-108 - [c30]Zailani Abdullah, Tutut Herawan, Noraziah Ahmad, Rozaida Ghazali, Mustafa Mat Deris:
Mining Indirect Least Association Rule from Students' Examination Datasets. ICCSA (6) 2014: 783-797 - [c29]Rozaida Ghazali, Zulaika Abu Bakar, Yana Mazwin Mohmad Hassim, Tutut Herawan, Noorhaniza Wahid:
Functional Link Neural Network with Modified Cuckoo Search Training Algorithm for Physical Time Series Forecasting. ICIC (1) 2014: 285-291 - [c28]David C. Reid, Abir Jaafar Hussain, Hissam Tawfik, Rozaida Ghazali:
Prediction of Physical Time Series Using Spiking Neural Networks. ICIC (2) 2014: 816-824 - [c27]Habib Shah, Tutut Herawan, Rozaida Ghazali, Rashid Naseem, Maslina Abdul Aziz, Jemal H. Abawajy:
An Improved Gbest Guided Artificial Bee Colony (IGGABC) Algorithm for Classification and Prediction Tasks. ICONIP (1) 2014: 559-569 - [c26]Habib Shah, Tutut Herawan, Rashid Naseem, Rozaida Ghazali:
Hybrid Guided Artificial Bee Colony Algorithm for Numerical Function Optimization. ICSI (1) 2014: 197-206 - [c25]Rozaida Ghazali, Noor Aida Husaini, Lokman Hakim Bin Ismail, Tutut Herawan, Yana Mazwin Mohmad Hassim:
The performance of a Recurrent HONN for temperature time series prediction. IJCNN 2014: 518-524 - [c24]Noor Aida Husaini, Rozaida Ghazali, Lokman Hakim Bin Ismail, Tutut Herawan:
A Jordan Pi-Sigma Neural Network for Temperature Forecasting in Batu Pahat Region. SCDM 2014: 11-24 - [c23]Habib Shah, Rozaida Ghazali, Yana Mazwin Mohmad Hassim:
Honey Bees Inspired Learning Algorithm: Nature Intelligence Can Predict Natural Disaster. SCDM 2014: 215-225 - [c22]Siti Zulaikha Bt Abu Bakar, Rozaida Ghazali, Lokman Hakim Bin Ismail, Tutut Herawan, Ayodele Lasisi:
Implementation of Modified Cuckoo Search Algorithm on Functional Link Neural Network for Climate Change Prediction via Temperature and Ozone Data. SCDM 2014: 239-247 - [c21]Ayodele Lasisi, Rozaida Ghazali, Tutut Herawan:
Comparative Performance Analysis of Negative Selection Algorithm with Immune and Classification Algorithms. SCDM 2014: 441-452 - [e1]Tutut Herawan, Rozaida Ghazali, Mustafa Mat Deris:
Recent Advances on Soft Computing and Data Mining - Proceedings of The First International Conference on Soft Computing and Data Mining (SCDM-2014) Universiti Tun Hussein Onn Malaysia, Johor, Malaysia, June 16th-18th, 2014. Advances in Intelligent Systems and Computing 287, Springer 2014, ISBN 978-3-319-07691-1 [contents] - 2013
- [j7]Habib Shah, Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris, Tutut Herawan:
Global Artificial Bee Colony-Levenberq-Marquardt (GABC-LM) Algorithm for Classification. Int. J. Appl. Evol. Comput. 4(3): 58-74 (2013) - [j6]Yana Mazwin Mohmad Hassim, Rozaida Ghazali:
An improved functional link neural network learning using artificial bee colony optimisation for time series prediction. Int. J. Bus. Intell. Data Min. 8(4): 307-318 (2013) - [c20]Habib Shah, Rozaida Ghazali, Nazri Mohd Nawi:
Global Artificial Bee Colony Algorithm for Boolean Function Classification. ACIIDS (1) 2013: 12-20 - [c19]Yana Mazwin Mohmad Hassim, Rozaida Ghazali:
A Modified Artificial Bee Colony Optimization for Functional Link Neural Network Training. DaEng 2013: 69-78 - [c18]Siti Zulaikha Bt Abu Bakar, Rozaida Bt Ghazali, Lokman Hakim Bin Ismail:
Implementation of Modified Cuckoo Search Algorithm on Functional Link Neural Network for Temperature and Relative Humidity Prediction. DaEng 2013: 151-158 - [c17]Ayodele Lasisi, Rozaida Ghazali, Tutut Herawan:
Negative Selection Algorithm: A Survey on the Epistemology of Generating Detectors. DaEng 2013: 167-176 - [c16]Yana Mazwin Mohmad Hassim, Rozaida Ghazali:
Functional Link Neural Network - Artificial Bee Colony for Time Series Temperature Prediction. ICCSA (1) 2013: 427-437 - [c15]Yana Mazwin Mohmad Hassim, Rozaida Ghazali:
Solving a classification task using Functional Link Neural Networks with modified Artificial Bee Colony. ICNC 2013: 189-193 - 2012
- [j5]Habib Shah, Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris:
G-HABC Algorithm for Training Artificial Neural Networks. Int. J. Appl. Metaheuristic Comput. 3(3): 1-19 (2012) - [c14]Habib Shah, Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris:
Global Hybrid Ant Bee Colony Algorithm for Training Artificial Neural Networks. ICCSA (1) 2012: 87-100 - [i2]Yana Mazwin Mohmad Hassim, Rozaida Ghazali:
Training a Functional Link Neural Network Using an Artificial Bee Colony for Solving a Classification Problems. CoRR abs/1212.6922 (2012) - 2011
- [j4]Rozaida Ghazali, Abir Jaafar Hussain, Panos Liatsis:
Dynamic Ridge Polynomial Neural Network: Forecasting the univariate non-stationary and stationary trading signals. Expert Syst. Appl. 38(4): 3765-3776 (2011) - [c13]Habib Shah, Rozaida Ghazali:
Prediction of Earthquake Magnitude by an Improved ABC-MLP. DeSE 2011: 312-317 - [c12]Noor Aida Husaini, Rozaida Ghazali, Nazri Mohd Nawi, Lokman Hakim Bin Ismail:
Pi-Sigma Neural Network for Temperature Forecasting in Batu Pahat. ICSECS (2) 2011: 530-541 - [c11]Norhamreeza Abdul Hamid, Nazri Mohd Nawi, Rozaida Ghazali, Mohd Najib B. Mohd Salleh:
Learning Efficiency Improvement of Back Propagation Algorithm by Adaptively Changing Gain Parameter together with Momentum and Learning Rate. ICSECS (3) 2011: 812-824 - [c10]Ashikin Ali, Rozaida Ghazali, Mustafa Mat Deris:
The wavelet multilayer perceptron for the prediction of earthquake time series data. iiWAS 2011: 138-143 - [c9]Noor Aida Husaini, Rozaida Ghazali, Lokman Hakim Bin Ismail, Norhamreeza Abdul Hamid, Mustafa Mat Deris, Nazri Mohd Nawi:
Temperature forecasting with a dynamic higher-order neural network model. iiWAS 2011: 547-551 - [c8]Noor Aida Husaini, Rozaida Ghazali, Nazri Mohd Nawi, Lokman Hakim Bin Ismail:
Jordan Pi-Sigma Neural Network for Temperature Prediction. UCMA (2) 2011: 547-558 - [c7]Norhamreeza Abdul Hamid, Nazri Mohd Nawi, Rozaida Ghazali, Mohd Najib B. Mohd Salleh:
Accelerating Learning Performance of Back Propagation Algorithm by Using Adaptive Gain Together with Adaptive Momentum and Adaptive Learning Rate on Classification Problems. UCMA (2) 2011: 559-570 - [i1]Habib Shah, Rozaida Ghazali, Nazri Mohd Nawi:
Using Artificial Bee Colony Algorithm for MLP Training on Earthquake Time Series Data Prediction. CoRR abs/1112.4628 (2011) - 2010
- [c6]Nazri Mohd Nawi, Rajesh S. Ransing, Mohd Najib B. Mohd Salleh, Rozaida Ghazali, Norhamreeza Abdul Hamid:
An Improved Back Propagation Neural Network Algorithm on Classification Problems. FGIT-DTA/BSBT 2010: 177-188 - [c5]Nazri Mohd Nawi, Rozaida Ghazali, Mohd Najib B. Mohd Salleh:
The Development of Improved Back-Propagation Neural Networks Algorithm for Predicting Patients with Heart Disease. ICICA (LNCS) 2010: 317-324
2000 – 2009
- 2009
- [j3]Rozaida Ghazali, Abir Jaafar Hussain, Nazri Mohd Nawi, Baharuddin Mohamad:
Non-stationary and stationary prediction of financial time series using dynamic ridge polynomial neural network. Neurocomputing 72(10-12): 2359-2367 (2009) - 2008
- [j2]Abir Jaafar Hussain, Rozaida Ghazali, Dhiya Al-Jumeily:
Dynamic Ridge Polynomial Neural Networks for multi-step financial time-series prediction. Int. J. Intell. Syst. Technol. Appl. 5(1/2): 145-165 (2008) - [j1]Rozaida Ghazali, Abir Jaafar Hussain, Panos Liatsis, Hissam Tawfik:
The application of ridge polynomial neural network to multi-step ahead financial time series prediction. Neural Comput. Appl. 17(3): 311-323 (2008) - [c4]Rozaida Ghazali, Abir Jaafar Hussain, M. N. Mohd. Salleh:
Application of Polynomial Neural Networks to Exchange Rate Forecasting. ISDA (2) 2008: 90-95 - 2007
- [b1]Rozaida Ghazali:
Higher order neural networks for financial time series prediction. Liverpool John Moores University, UK, 2007 - [c3]Rozaida Ghazali, Abir Jaafar Hussain, Dhiya Al-Jumeily, Madjid Merabti:
Dynamic Ridge Polynomial Neural Networks in Exchange Rates Time Series Forecasting. ICANNGA (2) 2007: 123-132 - 2006
- [c2]Rozaida Ghazali, Abir Jaafar Hussain, Madjid Merabti:
Higher order neural networks and their applications to financial time series prediction. Artificial Intelligence and Soft Computing 2006: 120-125 - [c1]Rozaida Ghazali, Abir Jaafar Hussain, Wael El-Deredy:
Application of Ridge Polynomial Neural Networks to Financial Time Series Prediction. IJCNN 2006: 913-920
Coauthor Index
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