Mohammad Sultan Mahmud

Orcid: 0000-0002-5795-787X

According to our database1, Mohammad Sultan Mahmud authored at least 21 papers between 2016 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Guest editorial: Mixture of experts and ensemble learning for big data.
Inf. Fusion, 2026

Enhancing query-based segmentation models with full-pixel integration for curvilinear object segmentation.
Inf. Fusion, 2026

Approximate approach for frequent itemsets mining on massive distributed data beyond computing capacity.
Expert Syst. Appl., 2026

ADODN: Attentive Dropout-Based Occlusion-Aware Deep Network for Facial Landmark Detection.
IEEE Access, 2026

2025
Determination of the Number of Clusters in High-Dimensional Data With Subspace Clusters.
IEEE Trans. Big Data, December, 2025

RSPCA: Random Sample Partition and Clustering Approximation for ensemble learning of big data.
Pattern Recognit., 2025

Spectral ensemble clustering with doubly stochastic co-association matrix.
Inf. Sci., 2025

2024
Clustering approximation via a fusion of multiple random samples.
Inf. Fusion, January, 2024

Transformer-based Text Classification on Unified Bangla Multi-class Emotion Corpus.
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.
J. Big Data, December, 2023

Approximate Clustering Ensemble Method for Big Data.
IEEE Trans. Big Data, August, 2023

A review of optimization methods for computation offloading in edge computing networks.
Digit. Commun. Networks, April, 2023

IoMT-Blockchain based Secured Remote Patient Monitoring Framework for Neuro-Stimulation Device.
CoRR, 2023

2021
Unsupervised Adaptation for High-Dimensional with Limited-Sample Data Classification Using Variational Autoencoder.
Comput. Informatics, 2021

2020
Variational Autoencoder-Based Dimensionality Reduction for High-Dimensional Small-Sample Data Classification.
Int. J. Comput. Intell. Appl., 2020

A survey of data partitioning and sampling methods to support big data analysis.
Big Data Min. Anal., 2020

2019
Unsupervised classification of high-dimension and low-sample data with variational autoencoder based dimensionality reduction.
Proceedings of the 4th IEEE International Conference on Advanced Robotics and Mechatronics, 2019

2018
High-Dimensional Limited-Sample Biomedical Data Classification Using Variational Autoencoder.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

Slice_OP: Selecting Initial Cluster Centers Using Observation Points.
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

2017
Smart Fire Detection System with Early Notifications Using Machine Learning.
Int. J. Comput. Intell. Appl., 2017

2016
An innovative recurrent error-based neuro-fuzzy system with momentum for stock price prediction.
Soft Comput., 2016


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