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20212023
most citedStreamlining Brain Tumor Classification with Custom Transfer Learning in MRI Images

9 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023★ 2 cited

An experimental study for early diagnosing Parkinson's disease using machine learning

Md. Taufiqul Haque Khan Tusar, Md. Touhidul Islam, Abul Hasnat Sakil

One of the most catastrophic neurological disorders worldwide is Parkinson's Disease. Along with it, the treatment is complicated and abundantly expensive. The only effective actio…

eess.IV2023★ 9 cited

Streamlining Brain Tumor Classification with Custom Transfer Learning in MRI Images

Javed Hossain, Md. Touhidul Islam, Md. Taufiqul Haque Khan Tusar

Brain tumors are increasingly prevalent, characterized by the uncontrolled spread of aberrant tissues in the brain, with almost 700,000 new cases diagnosed globally each year. Magn…

cs.LG2022★ 1 cited

Detecting Chronic Kidney Disease(CKD) at the Initial Stage: A Novel Hybrid Feature-selection Method and Robust Data Preparation Pipeline for Different ML Techniques

Md. Taufiqul Haque Khan Tusar, Md. Touhidul Islam, Foyjul Islam Raju

Chronic Kidney Disease (CKD) has infected almost 800 million people around the world. Around 1.7 million people die each year because of it. Detecting CKD in the initial stage is e…

cs.CL2021★ 1 cited

A Comparative Study of Sentiment Analysis Using NLP and Different Machine Learning Techniques on US Airline Twitter Data

Md. Taufiqul Haque Khan Tusar, Md. Touhidul Islam

Today's business ecosystem has become very competitive. Customer satisfaction has become a major focus for business growth. Business organizations are spending a lot of money and h…

cs.LG2021

Early Prediction of Heart Disease Using PCA and Hybrid Genetic Algorithm with k-Means

Md. Touhidul Islam, Sanjida Reza Rafa, Md. Golam Kibria

Worldwide research shows that millions of lives lost per year because of heart disease. The healthcare sector produces massive volumes of data on heart disease that are sadly not u…