Implementation of deep neural networks and statistical methods to predict the resilient modulus of soils

R Polo-Mendoza, J Duque, D Mašín… - … Journal of Pavement …, 2023 - Taylor & Francis
ABSTRACT The Resilient Modulus (Mr) is perhaps the most relevant and widely used
parameter to characterise the soil behaviour under repetitive loading for pavement …

Visual Data and Pattern Analysis for Smart Education: A Robust DRL-Based Early Warning System for Student Performance Prediction

W Bagunaid, N Chilamkurti, AS Shahraki… - Future Internet, 2024 - mdpi.com
Artificial Intelligence (AI) and Deep Reinforcement Learning (DRL) have revolutionised e-
learning by creating personalised, adaptive, and secure environments. However, challenges …

Intelligent Language Acquisition Model for Online Student Interaction with Educators Using 6G-Cyber Enhanced Wireless Network

L Zheng - Wireless Personal Communications, 2024 - Springer
Deep learning have created personalized, adaptive, and secure e-learning environments in
the ever-changing educational landscape. Privacy, bias, and data may limit e-learning …

Periodical Analysis of Stress in Working Professionals

S Mummadi, A Nithyasree… - 2023 14th …, 2023 - ieeexplore.ieee.org
The working sectors are introducing new products and technologies to the marketplace
these days, giving it a modern feel. It ultimately caused workers' stress levels to increase …

College Course Recommender System based on Sentiment Analysis.

N Zamri, N Palanichamy… - International Journal on …, 2023 - search.ebscohost.com
College plays a vital role in defining a student's future by providing relevant education, skills,
and exposure. The choice of college courses heavily influences their career foundation and …

The employment of machine learning algorithms for prediction in learning analytics and educational data mining within the context of higher education

V Čotić Poturić, S Čandrlić, I Dražić - Zbornik Veleučilišta u Rijeci, 2024 - hrcak.srce.hr
Sažetak This paper presents a review of the literature from the last five years on predictive
methods of Learning Analytics and Educational Data Mining based on Machine Learning …