ASM Mohaimenul Islam

According to our database, ASM Mohaimenul Islam authored at least 7 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

The application and comparison of Deep Learning models for the prediction of chest cancer prognosis.

Mahadi Hasan, Miraz Al Mamun, Madhab Chandra Das, Md Maruf Hasan, ASM Mohaimenul Islam

Proceedings of the International Conference on Smart Applications, 2023

sleepWell: Stress Level Prediction Through Sleep Data. Are You Stressed?

Md Minhazur Rahman, ASM Mohaimenul Islam, Jonayet Miah, Sabbir Ahmad, Muntasir Mamun

Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

Empirical Analysis with Component Decomposition Methods for Cervical Cancer Risk Assessment.

Md Minhazur Rahman, ASM Mohaimenul Islam, Jonayet Miah, Sabbir Ahmad, Md Maruf Hasan

Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

Machine Learning-Based Relative Performance Analysis for Breast Cancer Prediction.

Fatema Tabassum Liza, Madhab Chandra Das, Partha Pratim Pandit, Afia Farjana, ASM Mohaimenul Islam, Fariha Tabassum

Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

2022

MLHeartDis: Can Machine Learning Techniques Enable to Predict Heart Diseases?

Muntasir Mamun, Md. Milon Uddin, Vivek Kumar Tiwari, ASM Mohaimenul Islam, Ahmed Ullah Ferdous

Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022

Deep Learning Based Model for Alzheimer's Disease Detection Using Brain MRI Images.

Muntasir Mamun, Siam Bin Shawkat, Md Salim Ahammed, Md. Milon Uddin, Md Ishtyaq Mahmud, ASM Mohaimenul Islam

Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022

Vocal Feature Guided Detection of Parkinson's Disease Using Machine Learning Algorithms.

Muntasir Mamun, Md Ishtyaq Mahmud, Md. Iqbal Hossain, ASM Mohaimenul Islam, Md Salim Ahammed, Md. Milon Uddin

Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022