Nazri Mohd Nawi
Orcid: 0000-0003-0685-7892
According to our database1,
Nazri Mohd Nawi
authored at least 67 papers
between 2006 and 2024.
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Bibliography
2024
Dimension Reduction Using Dual-Featured Auto-Encoder for the Histological Classification of Human Lungs Tissues.
IEEE Access, 2024
Adaptive Feature Selection and Image Classification Using Manifold Learning Techniques.
IEEE Access, 2024
2023
Multim. Tools Appl., March, 2023
An improved in tasks allocation system for virtual machines in cloud computing using HBAC algorithm.
J. Ambient Intell. Humaniz. Comput., 2023
2022
Recent advancement in VM task allocation system for cloud computing: review from 2015 to2021.
Artif. Intell. Rev., 2022
Proceedings of the Recent Advances in Soft Computing and Data Mining, 2022
Customer's Behavior in Purchase Decision of Textile Materials: Rough-Regression Model.
Proceedings of the Recent Advances in Soft Computing and Data Mining, 2022
Improving Genetic Algorithm to Attain Better Routing Solutions for Real-World Water Line System.
Proceedings of the Recent Advances in Soft Computing and Data Mining, 2022
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
Evol. Intell., 2021
An Improved Framework for Content- and Link-Based Web-Spam Detection: A Combined Approach.
Complex., 2021
2020
Enhancing the dynamic load balancing technique for cloud computing using HBATAABC algorithm.
Int. J. Model. Simul. Sci. Comput., 2020
Int. J. High Perform. Comput. Netw., 2020
Int. J. Fuzzy Log. Intell. Syst., 2020
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2020
Lungs Cancer Nodules Detection from CT Scan Images with Convolutional Neural Networks.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2020
2019
Proceedings of the 9th IEEE International Conference on System Engineering and Technology, 2019
2018
RMIL/AG: A New Class of Nonlinear Conjugate Gradient for Training Back Propagation Algorithm.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2018
A Group-Based Feature Selection Approach to Improve Classification of Holy Quran Verses.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2018
2016
Hybrid Bat and Levenberg-Marquardt Algorithms for Artificial Neural Networks Learning.
J. Inf. Sci. Eng., 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
Robot arm simulation using 3D software application with 3D modeling, programming and simulation support.
Proceedings of the International Symposium on Micro-NanoMechatronics and Human Science, 2016
2015
Studying the Effect of Optimizing Weights in Neural Networks with Meta-Heuristic Techniques.
Proceedings of the Second International Conference on Advanced Data and Information Engineering, 2015
Proceedings of the Second International Conference on Advanced Data and Information Engineering, 2015
2014
Int. J. Comput. Intell. Appl., 2014
CSLMEN: A New Cuckoo Search Levenberg Marquardt Elman Network for Data Classification.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2014
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2014
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2014
Second Order Back Propagation Neural Network (SOBPNN) Algorithm for Medical Data Classification.
Proceedings of the Computational Intelligence in Information Systems, 2014
An Accelerated Particle Swarm Optimization Based Levenberg Marquardt Back Propagation Algorithm.
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Neural Network Training by Hybrid Accelerated Cuckoo Particle Swarm Optimization Algorithm.
Proceedings of the Neural Information Processing - 21st International Conference, 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
Global Artificial Bee Colony-Levenberq-Marquardt (GABC-LM) Algorithm for Classification.
Int. J. Appl. Evol. Comput., 2013
Proceedings of the Advances in Systems Science, 2013
Proceedings of the Computational Science and Its Applications - ICCSA 2013, 2013
Proceedings of the Computational Science and Its Applications - ICCSA 2013, 2013
CSBPRNN: A New Hybridization Technique Using Cuckoo Search to Train Back Propagation Recurrent Neural Network.
Proceedings of the First International Conference on Advanced Data and Information Engineering, 2013
Countering the Problem of Oscillations in Bat-BP Gradient Trajectory by Using Momentum.
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
Rough and Soft Set Approaches for Attributes Selection of Traditional Malay Musical Instrument Sounds Classification.
Int. J. Softw. Sci. Comput. Intell., 2012
Int. J. Appl. Metaheuristic Comput., 2012
Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012
2011
Using Artificial Bee Colony Algorithm for MLP Training on Earthquake Time Series Data Prediction
CoRR, 2011
Rough Set Approach for Attributes Selection of Traditional Malay Musical Instruments Sounds Classification.
Proceedings of the Ubiquitous Computing and Multimedia Applications, 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
Rough Set Theory for Feature Ranking of Traditional Malay Musical Instruments Sounds Dataset.
Proceedings of the Software Engineering and Computer Systems, 2011
The Effect of Adaptive Momentum in Improving the Accuracy of Gradient Descent Back Propagation Algorithm on Classification Problems.
Proceedings of the Software Engineering and Computer Systems, 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
2010
Dealing with uncertainty in incomplete information system using fuzzy modeling technique.
Proceedings of the 10th International Conference on Information Sciences, 2010
Soft Set Theory for Feature Selection of Traditional Malay Musical Instrument Sounds.
Proceedings of the Information Computing and Applications - First International Conference, 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
The Ideal Data Representation for Feature Extraction of Traditional Malay Musical Instrument Sounds Classification.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 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
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009
Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2009
Proceedings of the iiWAS'2009, 2009
2008
A New Method to Improve the Gradient Based Search Direction to Enhance the Computational Efficiency of Back Propagation Based Neural Network Algorithms.
Proceedings of the Second Asia International Conference on Modelling and Simulation, 2008
2007
2006
Improving the Gradient Based Search Direction to Enhance Training Efficiency of Back Propagation Based Neural Network Algorithms.
Proceedings of the Research and Development in Intelligent Systems XXIII, 2006
An Improved Learning Algorithm Based on The Broyden-Fletcher-Goldfarb-Shanno (BFGS) Method For Back Propagation Neural Networks.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006