A multimodal facial cues based engagement detection system in e-learning context using deep learning approach

S Gupta, P Kumar, R Tekchandani - Multimedia Tools and Applications, 2023 - Springer
Due to the COVID-19 crisis, the education sector has been shifted to a virtual environment.
Monitoring the engagement level and providing regular feedback during e-classes is one of …

Adoption of machine learning algorithm for predicting the length of stay of patients (construction workers) during COVID pandemic

SS Samy, S Karthick, M Ghosal, S Singh… - International Journal of …, 2023 - Springer
The construction sector in a rapidly developing country like India is a very unorganized
sector. A large number of workers were affected and hospitalized during the pandemic. This …

Affective e-learning approaches, technology and implementation model: a systematic review.

MO Adebiyi, AA Adebiyi, D Olaniyan… - … Journal of Electrical …, 2024 - search.ebscohost.com
A systematic literature study including articles from 2016 to 2022 was done to evaluate the
various approaches, technologies, and implementation models involved in measuring …

Enhancing Engagement in Virtual Classrooms: A Contactless Multi-Modal Emotion Detection Model

D Olaniyan, MO Adebiyi, AA Adebiyi… - … and Business for …, 2024 - ieeexplore.ieee.org
This research addresses the growing need for effective assessment of student engagement
and emotional states in virtual learning environments. Recognizing challenges in accurately …

A Survey on Enabling Serverless Deployment In E-Commerce Platform With Performance Monitoring System

SS Samy - NeuroQuantology, 2022 - search.proquest.com
A vital cloud computing paradigm that has the potential to greatly simplify application
development while easing developers of the burden of operational responsibilities is …

[引用][C] Attentive Gauging in an E-Learning Platform Using Artificial Intelligence EfficientNet Architecture

M Yousuf, A Wahid… - International Journal of …, 2024 - University of Bahrain