Md Mahmudul Hasan

Orcid: 0000-0003-2747-4348

According to our database1, Md Mahmudul Hasan authored at least 36 papers between 2012 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Validation and interpretation of a multimodal drowsiness detection system using explainable machine learning.
Comput. Methods Programs Biomed., January, 2024

WeedScout: Real-Time Autonomous blackgrass Classification and Mapping using dedicated hardware.
CoRR, 2024

A Machine Learning Approach to Detect Customer Satisfaction From Multiple Tweet Parameters.
CoRR, 2024

UDEEP: Edge-based Computer Vision for In-Situ Underwater Crayfish and Plastic Detection.
CoRR, 2024

Responsible AI for cardiovascular disease detection: Towards a privacy-preserving and interpretable model.
Comput. Methods Programs Biomed., 2024

An explainable machine learning framework for predicting the risk of buprenorphine treatment discontinuation for opioid use disorder among commercially insured individuals.
Comput. Biol. Medicine, 2024

Synthetic Data Generation and Impact Analysis of Machine Learning Models for Enhanced Credit Card Fraud Detection.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024

2023
A central compact hybrid-variable method with spectral-like resolution: One-dimensional case.
J. Comput. Appl. Math., 2023

NeuroXRFitness: Music Therapy for Mental Stress Relief Using EEG Signal.
Proceedings of the 15th International Conference on Software, 2023

Net0Chain: An AI-Enabled Climate and Environmental Risks (CER) Framework for Achieving Net-Zero.
Proceedings of the 15th International Conference on Software, 2023

IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification.
Proceedings of the IEEE International Conference on Image Processing, 2023

Circulogy: An AI-Enabled Blockchain-Based e-Waste Management Framework Using Non-Fungible Tokens (NFT) to Achieve Net Zero and Imply the Circular Economy.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2023

2022
A Novel Framework for Co-designing of An Artificial Intelligence Based Television-enabled Application to Address Social Isolation and Alleviating Loneliness for Older People.
Proceedings of the 14th International Conference on Software, 2022

Designing a Classification Algorithm for Skin Lesions.
Proceedings of the 14th International Conference on Software, 2022

2021
A machine learning based two-stage clinical decision support system for predicting patients' discontinuation from opioid use disorder treatment: retrospective observational study.
BMC Medical Informatics Decis. Mak., 2021

2020
An intelligent decision-making scheme in a dynamic multi-objective environment using deep reinforcement learning.
PhD thesis, 2020

Resilient supplier selection in logistics 4.0 with heterogeneous information.
Expert Syst. Appl., 2020

On the Stability of Explicit Finite Difference Methods for Advection-Diffusion Equations.
CoRR, 2020

Efficient, Effective and Well Justified Estimation of Active Nodes within a Cluster.
CoRR, 2020

Latent Factor Analysis of Gaussian Distributions under Graphical Constraints.
Proceedings of the IEEE International Symposium on Information Theory, 2020

A Hybrid Framework for Interconnecting Various Software Engineering Process Models and Techniques.
Proceedings of the ICCA 2020: International Conference on Computing Advancements, 2020

2019
Dynamic multi-objective optimisation using deep reinforcement learning: benchmark, algorithm and an application to identify vulnerable zones based on water quality.
Eng. Appl. Artif. Intell., 2019

Algebraic Properties of Wyner Common Information Solution under Graphical Constraints.
Proceedings of the IEEE International Symposium on Information Theory, 2019

2018
Construction of Signaling Pathways with RNAi Data and Multiple Reference Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Counting motifs in dynamic networks.
BMC Syst. Biol., 2018

Estimation of RFID Tag Population Size by Gaussian Estimator.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

2016
Identifying the topology of signaling networks from partial RNAi data.
BMC Syst. Biol., 2016

Reversible decision support system: Minimising cognitive dissonance in multi-criteria based complex system using fuzzy analytic hierarchy process.
Proceedings of the 2016 8th Computer Science and Electronic Engineering Conference, 2016

2015
Indexing a protein-protein interaction network expedites network alignment.
BMC Bioinform., 2015

Construction of signaling networks with incomplete RNAi data.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Multiple reference networks improve accuracy of signaling network construction.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2014
A Computational Approach for Predicting Role of Human MicroRNAs in MERS-CoV Genome.
Adv. Bioinformatics, 2014

Incremental network querying in biological networks.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013
A scalable method for discovering significant subnetworks.
BMC Syst. Biol., 2013

Color distribution can accelerate network alignment.
Proceedings of the ACM Conference on Bioinformatics, 2013

2012
SiS: Significant subnetworks in massive number of network topologies.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012


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