Neural Correlate-Based E-Learning Validation and Classification Using Convolutional and Long Short-Term Memory Networks.

D Pathak, R Kashyap - Traitement du Signal, 2023 - search.ebscohost.com
The COVID-19 pandemic has precipitated an unprecedented surge in the proliferation of
online E-learning platforms, designed to cater to a wide array of subjects across all age …

A New Learning Resource Recommendation Method for Improving the Efficiency of Students' Online Independent Learning.

L Shi, C Fan - International Journal of Emerging …, 2023 - search.ebscohost.com
If the learning resource recommendation method fully considers the efficiency improvement
of college students' online independent learning, it can save college students' learning …

Evaluating E-learning Engagement Through EEG Signal Analysis with Convolutional Neural Networks

D Pathak, R Kashyap - International Conference on Computer & …, 2023 - Springer
Amidst the COVID-19 pandemic, online e-learning platforms have experienced a surge in
popularity, serving a diverse audience across multiple subjects. Nevertheless, the absence …

Bridging minds and machines in Industry 5.0: neurobiological approach

V Rueda-Castro, JD Azofeifa, J Chacon… - Frontiers in Human …, 2024 - frontiersin.org
Introduction In transitioning from Industry 4.0 to the forthcoming Industry 5.0, this research
explores the fusion of the humanistic view and technological developments to redefine …

Neural Architectures for Secure Data Transmission in Next-Gen Networks

P Aggarwal - 2023 IEEE International Conference on ICT in …, 2023 - ieeexplore.ieee.org
As data transmission speeds and degrees of complexity are projected to reach previously
unfathomable levels soon, it is now more necessary than ever to ensure data security while …

The Potential of Industrial Smart Grids in Optimizing Energy Consumption

HS Shreenidhi, S Upadhyay… - 2024 IEEE 13th …, 2024 - ieeexplore.ieee.org
In order to maximize the benefits of industrial smart grids in terms of energy optimization, this
research presents the Dynamic Energy Optimization System for Industrial Smart Grids …

Reinforcement Learning for Real-time ICU Patient Management in Critical Care

V Roy, R Kashyap, A Manhar, A Mishra… - 2023 International …, 2023 - ieeexplore.ieee.org
Managing patients, especially in high-stakes environments like intensive care units (ICUs),
is a difficult and time-sensitive task. Reinforcement learning, or RL, has the potential to …

Ensuring Transparency and Fairness in AI DecisionMaking Processes Influenced by large language Models

D Singh, KIP Kumar, G Nijhawan… - 2024 IEEE 13th …, 2024 - ieeexplore.ieee.org
This paper tackles the essential problem of assuring openness and justice in AI decision-
making processes driven by huge language models. While large language models like GPT …

Machine Learning in the Quantum Era

S Khurana, MJ Nene - 2023 2nd International Conference on …, 2023 - ieeexplore.ieee.org
Machine Learning (ML) has been extensively utilized in various scientific and engineering
domains. But the inherent constraints and computational complexity that arise in classical …

Transforming Modern Medicine with the Role of the Healthcare Internet of Things in Enhancing Patient Care and Monitoring

J Bhuvana, K Desai - 2024 IEEE 13th International …, 2024 - ieeexplore.ieee.org
The present healthcare sector is experiencing a fundamental upheaval with the emergence
of the Healthcare Internet of Things (HIoT). This article delves into the transformational …