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Dept. of Applied Computing Master's Theses and Master's Reports

Explore our collection of master's theses and master's reports from the Department of Applied Computing below.

Theses/Dissertations/Reports from 2025 2025

GENERALIZING MEDICAL IMAGE SEGMENTATION TASK WITH EFFICIENT DEEP LEARNING MODELS, Abel A. Reyes-Angulo

Utilizing Biometrics and Blockchain for Enhanced Security of Remote Patient Monitoring (RPM) Data Sharing, Amaturrahman Raihanah Medlock

Theses/Dissertations/Reports from 2024 2024

ADVANCING HEALTH LITERACY THROUGH GENERATIVE AI: THE UTILIZATION OF OPEN-SOURCE LARGE LANGUAGE MODELS (LLMS) FOR TEXT SIMPLIFICATION AND READABILITY, Sifat Naseem

EARLY SCREENING OF ALZHEIMER’S DISEASE THROUGH VERBAL COMMUNICATION AND USING LARGE LANGUAGE MODELS (LLMS), Venkatanand ram Addepalli

Theses/Dissertations/Reports from 2023 2023

Deep Learning for Medical Image Segmentation using Prior Knowledge and Topology, Chen Zhao

Knowledge discovery on the integrative analysis of electrical and mechanical dyssynchrony to improve cardiac resynchronization therapy, Zhuo He

Theses/Dissertations/Reports from 2020 2020

HIERARCHICAL CLUSTERING TO PREDICT THE RESPONSE OF CARDIAC RESYNCHRONIZATION THERAPY IN PATIENTS WITH HEART FAILURE, Rukayat Bukola Adeosun