Browsing Department of Computer Science & Engineering by Subject "Deep Learning"

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Deep Learning Models for Cardiac Abnormality Detection from ECG Signals: An Interpretability Perspective

Nankani, Deepankar (2022)

Cardiovascular diseases (CVD) accounted for 54 million deaths in India in 2016, and the number of patients has been rapidly rising, particularly within urban communities. Deep learning models (DLM) have been widely used ...
Sentiment analysis of tweets on societal topics

Singh, Loitongbam Gyanendro (2021)

With the increasing popularity of Twitter, a surge in understanding public opinions on various social issues has been evident. One of the parameters often considered in such studies is understanding public sentiment toward ...
Spatial-Domain Image Steganalysis using Deep Learning Techniques

Singh, Brijesh (2021)

Steganography is an art of covert communication where a message is hidden in some natural-looking objects such that no one can even suspect the ongoing communication. On the other hand, steganalysis is science for detecting ...

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