Mumtazimah Mohamad

发表

The Reconstructed Heterogeneity to Enhance Ensemble Neural Network for Large Data

Mokhairi Makhtar, Mohd Nordin Abdul Rahman, Mumtazimah Mohamad, 2016, SCDM.

Distributed Learning for Back Propagation in Character Recognition

Mumtazimah Mohamad, 2011 .

POTENTIAL OF MULTIVARIATE ANALYSIS IN SUBSTANCE ABUSE RESEARCH

Hafizan Juahir, Mohd Khairul Amri Kamarudin, Mumtazimah Mohamad, 2018 .

Parallel Pattern Back Propagation Neural Network Training of Multilayer Perceptron

Mumtazimah Mohamad, 2010 .

Wireless Network Traffic Analysis and Troubleshooting using Raspberry Pi

Zarina Mohamad, Wan Nor Shuhadah Wan Nik, Mumtazimah Mohamad, 2018 .

Current issues in Ciphertext Policy-Attribute based scheme for cloud computing: A survey

Jasni Mohamad Zain, Norhidayah Muhammad, Mumtazimah Mohamad, 2018 .

The Contribution of Feature Selection and Morphological Operation for On-Line Business System's Image Classification

Fatma Susilawati Mohamad, Mokhairi Makhtar, Mohd Fadzil Abdul Kadir, 2015, MUE 2015.

A Multi-Classifier Method based Deep Learning Approach for Breast Cancer

Aznida Hayati Zakaria, Mokhairi Makhtar, Rosaida Rosly, 2020 .

Noise removal using statistical operators for efficient leaf identification

Abd Rasid Mamat, Mohd Fadzil Abdul Kadir, Mumtazimah Mohamad, 2018 .

Comparison of Diverse Ensemble Neural Network for Large Data Classification

Zainal Abidin, Yazid Mohd Saman, Mumtazimah Mohamad, 2015 .

An Analysis of Large Data Classification using Ensemble Neural Network

Zahrahtul Amani Zakaria, Arifah Che Alhadi, Wan Nor Shuhadah Wan Nik, 2018 .

Divide and Conquer Approach in Reducing ANN Training Time for Small and Large Data

Yazid Mohd Saman, M. S. Hitam, Muhammad Suzuri Hitam, 2013 .

A framework of ensemble artificial neural networks model for classification of large datasets

Mumtazimah Mohamad, 2014 .

A Review on Sentiment Analysis in Arabic Using Document Level

Mumtazimah Mohamad, Ibrahim Awajan, M. Mohamad, 2018, International Journal of Engineering & Technology.

Detection and Feature Extraction for Images Signatures

Fatma Susilawati Mohamad, Mohamad Afendee Mohamed, Azrul Amri Jamal, 2018 .

COMPARISON OF IMAGE CLASSIFICATION TECHNIQUES USING CALTECH 101 DATASET

Fatma Susilawati Mohamad, Mokhairi Makhtar, Syed Abdullah Fadzli, 2015 .

Source apportionment of social support and quality of life index among drug abuse inmates using multiple linear regression

Hafizan Juahir, Mohd Khairul Amri Kamarudin, Mumtazimah Mohamad, 2018 .

Complexity Approximation of Classification Task for Large Dataset Ensemble Artificial Neural Networks

Nazirah Abd Hamid, Mumtazimah Mohamad, Md. Yazid Mohd. Saman, 2015, DaEng.

Concept Based Lattice Mining (CBLM) Using Formal Concept Analysis (FCA) for Text Mining

Zailani Abdullah, Mumtazimah Mohamad, Md. Yazid Mohd. Saman, 2015, DaEng.

Enhancement Processing Time and Accuracy Training via Significant Parameters in the Batch BP Algorithm

Fatma Susilawati Mohamad, Mohd Nizam Husen, Mumtazimah Mohamad, 2020 .

Implementation of Apriori Algorithm for a New Flood Area Prediction System

Mokhairi Makhtar, Nur Ashikin Harun, Azwa Abd Aziz, 2017 .

Noise removal using statistical operators for efficient leaf identification

Mumtazimah Mohamad, Muhammad Ghali Aliyu, Mohd Fadzil bin Abdul Kadir, 2018, Int. J. Comput. Aided Eng. Technol..

Improving Accuracy of Imbalanced Clinical Data Classification Using Synthetic Minority Over-Sampling Technique

Fatihah Mohd, Masita Abdul Jalil, Mumtazimah Mohamad, 2019, Communications in Computer and Information Science.

Mouse Movement Behavioral Biometric for Static User Authentication

Nurul Afnan Mahadi, Roslinda Muda, Nazirah Abd Hamid, 2017 .

A framework for multiprocessor neural networks systems

M. S. Hitam, Muhammad Suzuri Hitam, Mumtazimah Mohamad, 2012, 2012 International Conference on ICT Convergence (ICTC).

Parallel Training for Back Propagation in Character Recognition

Mumtazimah Mohamad, 2012 .

A Review of Arabic Optical Character Recognition Techniques & Performance

Mumtazimah Mohamad, Yazan M Alwaqfi, M. Mohamad, 2020 .

Performance Comparison of Neural Network Parallelization Techniques and Its Application for Large Data Classification

Mohd Nordin Abd Rahman, Mokhairi Makhtar, Roslinda Muda, 2017 .

Sentiment Analysis Technique and Neutrosophic Set Theory for Mining and Ranking Big Data From Online Reviews

Ashraf Al-Quran, Mumtazimah Mohamad, Ibrahim Awajan, 2021, IEEE Access.

Training Neural Networks by Enhance Grasshopper Optimization Algorithm for Spam Detection System

Waheed Ali H. M. Ghanem, Syed Abdullah Fadzli, Mumtazimah Mohamad, 2021, IEEE Access.

Integrating mutation operator into grasshopper optimization algorithm for global optimization

Waheed Ali H. M. Ghanem, Mumtazimah Mohamad, Engku Fadzli Hasan Syed Abdullah, 2021, Soft Computing.

INDOOR GLOBAL PATH PLANNING BASED ON CRITICAL CELLS USING DIJKSTRA ALGORITHM

Azrul Amri Jamal, Mohd Khalid Awang, Syed Abdullah Fadzli, 2015 .