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Research Thesis

Research Thesis

Student Name Thesis Title Program Partner Name
Vaneeza Kiyani Machine Learning Based Health Monitoring System to Improve Maternal Health Care MS(CS) COMSATS University Islamabad (CUI) Wah Campus
Farah Sajjad Prediction of Pregnancy Results After IVF Treatment by Using Deep Learning Techniques MS(CS) COMSATS University Islamabad (CUI) Wah Campus
Aiman Hashim Prediction of Gestational Diabetes Mellitus Using Deep Learning Techniques MS(CS) COMSATS University Islamabad (CUI) Wah Campus
Palwasha Khan Prediction of “Large for Gestational Age” Infants Using Deep Learning Techniques MS(CS) COMSATS University Islamabad (CUI) Wah Campus
Pakiza Amin Predictive Analytics in Maternal Health: Machine Learning Approach for classification of Preeclampsia MS(CS) COMSATS University Islamabad (CUI) Wah Campus
Ahmad Hassan Remote Sensing and Predictive Modelling for Gestational Diabetes Mellitus MS(CS) COMSATS University Islamabad (CUI) Wah Campus
Hassan Sardar Fetus Anomaly Detection using Ultrasound images MS(CS) COMSATS University Islamabad (CUI) Wah Campus
Amina Shakeel A Hybrid Approach for Harnessing the Power of Machine and Deep Learning for Precise Alzheimer's Diagnosis MS(CS) COMSATS University Islamabad (CUI) Wah Campus
Saad Irfan A novel hybrid deep learning model for human activity recognition based on transitional activities MS Capital University of Science and Technology (CUST) Islamabad, Pakistan
Amna Ashfaq ECG Signal Analysis to Detect Arrhythmia using Deep Neural Networks MS Capital University of Science and Technology (CUST) Islamabad, Pakistan
Sahabzadi Anum Application of Attribute based encryption in fog infrastructure for securing healthcare data MS Capital University of Science and Technology (CUST) Islamabad, Pakistan
Nagina Razzaq Stroke Prediction by deploying predictive models on fog devices MS Capital University of Science and Technology (CUST) Islamabad, Pakistan
Sania Komal Monitoring the wellbeing of elderly using IoT devices MS Capital University of Science and Technology (CUST) Islamabad, Pakistan
Zahra Irshad Comparison of fall detection approaches with wearable and non-wearable devices MS Capital University of Science and Technology (CUST) Islamabad, Pakistan
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