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DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING
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Browsing Project Report by Subject "Explainable AI"

Now showing items 1-4 of 4

Deep Learning for Early Detection of Depression in University Students: A Mental Health Perspective

Akter, Mst. Fariha (Daffodil International University, 2025-09-17)

Nowadays, depression has spread at an alarming rate among students. There are many reasons for this such as lack of sleep, academic decline, loneliness, limited mental support, personal, family or financial problems, ...
An Effective Early Warning Attempt of Heart Failure With Significant Features and Promising Combination Methods of Machine Learning

Sutradhar, Ananda; Rafi, Mustahsin Al (Daffodil International University, 23-02-18)

Heart failure (HF) is currently the leading cause of morbidity and mortality worldwide. Diagnosis of a medical condition is difficult and time-consuming in medical science. Whereas Machine learning (ML) techniques can help ...
A Novel explainable ai-based approach: early-stage thyroid disease classification

Nizhum, Md. (Daffodil International University, 2024-01-22)

As of the most current information, thyroid illnesses remain widespread on a worldwide scale. The rate of hypothyroidism among Americans is around 4.6%, with a higher incidence seen in women and older individuals. ...
Parkinson disease detection using machine learning with Explainable AI

Ferdaous, Jannatul (Daffodil International University, 2024-01-26)

Aside from its effects on the nervous system, Parkinson's disease also modifies the physiological functions that the nervous system regulates. The progressive nature of Parkinson's disease makes it a degenerative disorder. ...

Browsing Project Report by Subject "Explainable AI"

Browsing Project Report by Subject "Explainable AI"

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