Nazri Mohd Nawi

Orcid: 0000-0003-0685-7892

According to our database1, Nazri Mohd Nawi authored at least 66 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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On csauthors.net:

Bibliography

2024
Adaptive Feature Selection and Image Classification Using Manifold Learning Techniques.
IEEE Access, 2024

2023
Review on sentiment analysis for text classification techniques from 2010 to 2021.
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
Arabic text semantic-based query expansion.
Int. J. Data Min. Model. Manag., 2022

Recent advancement in VM task allocation system for cloud computing: review from 2015 to2021.
Artif. Intell. Rev., 2022

Fuzzy Density-Based Clustering for Medical Diagnosis.
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

IFPDSO-PS: A Hybrid Approach for Global and Local Optimization.
Proceedings of the Recent Advances in Soft Computing and Data Mining, 2022

The Comparative Performance Analysis of Clustering Algorithms.
Proceedings of the Recent Advances in Soft Computing and Data Mining, 2022

2021
A deep contractive autoencoder for solving multiclass classification problems.
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

BAT algorithm used for load balancing purpose in cloud computing: an overview.
Int. J. High Perform. Comput. Netw., 2020

Auto-Encoder Variants for Solving Handwritten Digits Classification Problem.
Int. J. Fuzzy Log. Intell. Syst., 2020

An Enhanced Model for Digital Reference Services.
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
Enhancing Query Expansion Method Using Word Embedding.
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

Optimizing Weights in Elman Recurrent Neural Networks with Wolf Search Algorithm.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2016

Chicken S-BP: An Efficient Chicken Swarm Based Back-Propagation Algorithm.
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

HAPSOENN: Hybrid Accelerated Particle Swarm Optimized Elman Neural Network.
Proceedings of the Second International Conference on Advanced Data and Information Engineering, 2015

2014
Pi-Sigma Neural Network for a One-Step-Ahead temperature Forecasting.
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

Comparing Performances of Cuckoo Search Based Neural Networks.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2014

Classify a Protein Domain Using SVM Sigmoid Kernel.
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

A New Bat Based Back-Propagation (BAT-BP) Algorithm.
Proceedings of the Advances in Systems Science, 2013

A New Cuckoo Search Based Levenberg-Marquardt (CSLM) Algorithm.
Proceedings of the Computational Science and Its Applications - ICCSA 2013, 2013

A New Back-Propagation Neural Network Optimized with Cuckoo Search Algorithm.
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

Global Artificial Bee Colony Algorithm for Boolean Function Classification.
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

G-HABC Algorithm for Training Artificial Neural Networks.
Int. J. Appl. Metaheuristic Comput., 2012

Global Hybrid Ant Bee Colony Algorithm for Training Artificial Neural Networks.
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

Jordan Pi-Sigma Neural Network for Temperature Prediction.
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

Temperature forecasting with a dynamic higher-order neural network model.
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

Pi-Sigma Neural Network for Temperature Forecasting in Batu Pahat.
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

An Improved Back Propagation Neural Network Algorithm on Classification Problems.
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

Feature Extraction for Traditional Malay Musical Instruments Classification System.
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009

Incomplete Information of Decision Support System for Planting Material Selection.
Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2009

A study on traditional Malay musical instruments sounds classification system.
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
Computational issues in process optimisation using historical data.
PhD thesis, 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


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