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Maria Sultana Keya
Institution:
Daffodil International University
Observed institution:
Daffodil International University
OpenAlex ID:
A5017209539
Performance Analysis of Machine Learning Approaches in Stroke Prediction
2020
·
Minhaz Uddin Emon
, Maria Sultana Keya
, et al.
·
International Conference on Electronics, Communication and Aerospace Technology (ICECA)
·
207
Machine Learning based Image Classification of Papaya Disease Recognition
2020
·
Md. Ashiqul Islam
, Md. Shahriar Islam
, et al.
·
International Conference on Electronics, Communication and Aerospace Technology (ICECA)
·
68
Performance Analysis of Chronic Kidney Disease through Machine Learning Approaches
2021
·
Minhaz Uddin Emon
, Al Mahmud Imran
, et al.
·
International Conference on Inventive Computation Technologies (ICICT)
·
55
Performance Analysis of Diabetic Retinopathy Prediction using Machine Learning Models
2021
·
Minhaz Uddin Emon
, Raihana Zannat
, et al.
·
International Conference on Inventive Computation Technologies (ICICT)
·
34
Primary Stage of Diabetes Prediction using Machine Learning Approaches
2021
·
Minhaz Uddin Emon
, Maria Sultana Keya
, et al.
·
International Conference on Artificial Intelligence and Smart Energy (ICAIS)
·
33
Comparison of Different Machine Learning Algorithms for Detecting Bankruptcy
2021
·
Maria Sultana Keya
, Himu Akter
, et al.
·
International Conference on Inventive Computation Technologies (ICICT)
·
18
Measuring the Heart Attack Possibility using Different Types of Machine Learning Algorithms
2021
·
Maria Sultana Keya
, Muhammad Shamsojjaman
, et al.
·
International Conference on Artificial Intelligence and Smart Energy (ICAIS)
·
11
Predicting performance analysis of garments women working status in Bangladesh using machine learning approaches
2021
·
Maria Sultana Keya
, Minhaz Uddin Emon
, et al.
·
International Conference on Inventive Computation Technologies (ICICT)
·
6
A Performance Analysis of Depression Ratio using Machine Learning Approaches
2022
·
Maria Sultana Keya
, Alex Han
·
International Conference on Artificial Intelligence and Smart Energy (ICAIS)
·
4
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Works count:
9
Citation count:
436
H-index:
7
I10-index:
7
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