[HTML][HTML] Affective state prediction of E-learner using SS-ROA based deep LSTM

S Rathi, KK Hiran, S Sakhare - Array, 2023 - Elsevier
An affective state of a learner in E-learning has gained enormous interest. The prediction of
the emotional state of a learner can enhance the outcome of learning by including …

Comparative Study of Heart Disease Prediction Algorithm

S Rathi, P Mehta, V Mishra, A Karale… - 2023 3rd Asian …, 2023 - ieeexplore.ieee.org
The prevalence of cardiovascular disease has been steadily rising, driven by factors such as
sedentary lifestyles, unhealthy dietary habits, tobacco use, obesity, and an aging population …

Analysis and Implementation of Machine Learning Approaches for Adaptive Learning Using Personalized Assessment

S Rathi, S Mule, S Nichat, J Mulla… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
A comparison of machine learning models developed for an adaptive learning platform is
done, aiming to revolutionize educational methodologies in response to the diverse learning …

Question and Assessment Generator: Deep Learning Approach for Customizable and Intelligent Assessment Creation

S Rathi, V Pophale, P Kutwal, S Mishra… - … for Women in …, 2024 - ieeexplore.ieee.org
An essential tool used by educational institutions to evaluate student performance is the
examination process. The type of exam questions would dictate the caliber of students that …

A Coherent Way of Detecting Learner's Academic Emotions via Live Camera Using CNN and Deep LSTM

S Rathi, S Oswal, A Ahuja - 2023 4th International Conference …, 2023 - ieeexplore.ieee.org
Academic Emotion Detection is fundamentally a system for detecting emotions. The system's
main goal was to identify feelings expressed while attending online lectures during the …

[引用][C] Learning style prediction of e-learner using hybrid optimizer-based neural network

S Rathi, P Paygude, N Shaikh, S Sawant-Patil, T Patil… - Journal of Integrated …, 2025