Muntasir Mamun

Orcid: 0000-0001-9802-2627

According to our database1, Muntasir Mamun authored at least 16 papers between 2022 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Photogrammetry for Digital Twinning Industry 4.0 (I4) Systems.
CoRR, 2024

2023
A Deep Analysis of Brain Tumor Detection from MR Images Using Deep Learning Networks.
Algorithms, April, 2023

HW-V2W-Map: Hardware Vulnerability to Weakness Mapping Framework for Root Cause Analysis with GPT-assisted Mitigation Suggestion.
CoRR, 2023

A Deep Analysis of Transfer Learning Based Breast Cancer Detection Using Histopathology Images.
CoRR, 2023

MHfit: Mobile Health Data for Predicting Athletics Fitness Using Machine Learning.
CoRR, 2023

LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model.
CoRR, 2023

sleepWell: Stress Level Prediction Through Sleep Data. Are You Stressed?
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

A study of forecasting stocks price by using deep Reinforcement Learning.
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

2022
A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19?
PeerJ Comput. Sci., 2022

MLHeartDis: Can Machine Learning Techniques Enable to Predict Heart Diseases?
Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022

Deep Learning Based Model for Alzheimer's Disease Detection Using Brain MRI Images.
Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022

Vocal Feature Guided Detection of Parkinson's Disease Using Machine Learning Algorithms.
Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022

A Deep Analysis of Textual Features Based Cyberbullying Detection Using Machine Learning.
Proceedings of the IEEE Global Conference on Artificial Intelligence and Internet of Things, 2022

Cough Sound Analysis for the Evidence of Covid-19.
Proceedings of the Computer Vision and Machine Intelligence, 2022

Heart failure survival prediction using machine learning algorithm: am I safe from heart failure?
Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

Lung cancer prediction model using ensemble learning techniques and a systematic review analysis.
Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022


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