Md. Jueal Mia

Orcid: 0000-0002-9383-8739

According to our database1, Md. Jueal Mia authored at least 12 papers between 2019 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2022
Convolutional Neural Network Modeling for Eye Disease Recognition.
Int. J. Online Biomed. Eng., July, 2022

An Explorative Analysis on the Machine-Vision-Based Disease Recognition of Three Available Fruits of Bangladesh.
Vietnam. J. Comput. Sci., 2022

An in-depth automated approach for fish disease recognition.
J. King Saud Univ. Comput. Inf. Sci., 2022

An in-depth exploration of automated jackfruit disease recognition.
J. King Saud Univ. Comput. Inf. Sci., 2022

Common human diseases prediction using machine learning based on survey data.
CoRR, 2022

Tumor-TL: A Transfer Learning Approach for Classifying Brain Tumors from MRI Images.
Proceedings of the Machine Intelligence and Emerging Technologies, 2022

Online Consumer Alignment using Supervised Machine Learning Technique.
Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022

2021
An Automated Approach for Bangla Sentence Classification Using Supervised Algorithms.
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

Feature Ranking Based Carrot Disease Recognition Using MIFS Method.
Proceedings of the Hybrid Intelligent Systems, 2021

2020
A Survey on RealSense: in context of Research and Application.
Proceedings of the 11th International Conference on Computing, 2020

2019
A Computer Vision Approach for Jackfruit Disease Recognition.
Proceedings of International Joint Conference on Computational Intelligence, 2019

Forecasting the Number of Road Accidents and Casualties using Random Forest Regression in the Context of Bangladesh.
Proceedings of the 10th International Conference on Computing, 2019


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