Mohammad Sultan Mahmud

According to our database, Mohammad Sultan Mahmud authored at least 16 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

RSPCA: Random Sample Partition and Clustering Approximation for ensemble learning of big data.

Mohammad Sultan Mahmud, Hua Zheng, Diego García-Gil, Salvador García, Joshua Zhexue Huang

Pattern Recognit., 2025

Spectral ensemble clustering with doubly stochastic co-association matrix.

Yongda Cai, Mohammad Sultan Mahmud, Jingsheng Xu, Xudong Sun, Joshua Zhexue Huang

Inf. Sci., 2025

2024

Clustering approximation via a fusion of multiple random samples.

Mohammad Sultan Mahmud, Joshua Zhexue Huang, Salvador García

Inf. Fusion, January, 2024

Transformer-based Text Classification on Unified Bangla Multi-class Emotion Corpus.

Md Sakib Ullah Sourav, Mohammad Sultan Mahmud, Hua Zheng, Mohammad Aljaidi, Md. Simul Hasan Talukder, Rejwan Bin Sulaiman, Abdullah Hafez Nur, Ahmad Al-Qerem

Proceedings of the 25th International Arab Conference on Information Technology, 2024

2023

An ensemble method for estimating the number of clusters in a big data set using multiple random samples.

Mohammad Sultan Mahmud, Joshua Zhexue Huang, Rukhsana Ruby, Kaishun Wu

J. Big Data, December, 2023

Approximate Clustering Ensemble Method for Big Data.

Mohammad Sultan Mahmud, Joshua Zhexue Huang, Rukhsana Ruby, Alladoumbaye Ngueilbaye, Kaishun Wu

IEEE Trans. Big Data, August, 2023

A review of optimization methods for computation offloading in edge computing networks.

Kuanishbay Sadatdiynov, Laizhong Cui, Lei Zhang, Joshua Zhexue Huang, Salman Salloum, Mohammad Sultan Mahmud

Digit. Commun. Networks, April, 2023

IoMT-Blockchain based Secured Remote Patient Monitoring Framework for Neuro-Stimulation Device.

Md Sakib Ullah Sourav, Mohammad Sultan Mahmud, Md. Simul Hasan Talukder, Rejwan Bin Sulaiman, Abdullah Yasin

CoRR, 2023

2021

Unsupervised Adaptation for High-Dimensional with Limited-Sample Data Classification Using Variational Autoencoder.

Mohammad Sultan Mahmud, Joshua Zhexue Huang, Xianghua Fu, Rukhsana Ruby, Kaishun Wu

Comput. Informatics, 2021

2020

Variational Autoencoder-Based Dimensionality Reduction for High-Dimensional Small-Sample Data Classification.

Mohammad Sultan Mahmud, Joshua Zhexue Huang, Xianghua Fu

Int. J. Comput. Intell. Appl., 2020

A survey of data partitioning and sampling methods to support big data analysis.

Mohammad Sultan Mahmud, Joshua Zhexue Huang, Salman Salloum, Tamer Z. Emara, Kuanishbay Sadatdiynov

Big Data Min. Anal., 2020

2019

Unsupervised classification of high-dimension and low-sample data with variational autoencoder based dimensionality reduction.

Mohammad Sultan Mahmud, Xianghua Fu

Proceedings of the 4th IEEE International Conference on Advanced Robotics and Mechatronics, 2019

2018

High-Dimensional Limited-Sample Biomedical Data Classification Using Variational Autoencoder.

Mohammad Sultan Mahmud, Xianghua Fu, Joshua Zhexue Huang, Md Abdul Masud

Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

Slice_OP: Selecting Initial Cluster Centers Using Observation Points.

Md Abdul Masud, Joshua Zhexue Huang, Ming Zhong, Xianghua Fu, Mohammad Sultan Mahmud

Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

2017

Smart Fire Detection System with Early Notifications Using Machine Learning.

Mohammad Sultan Mahmud, Md. Shohidul Islam, Md. Ashiqur Rahman

Int. J. Comput. Intell. Appl., 2017

2016

An innovative recurrent error-based neuro-fuzzy system with momentum for stock price prediction.

Mohammad Sultan Mahmud, Phayung Meesad

Soft Comput., 2016