Machine learning towards intelligent systems: applications, challenges, and opportunities
The emergence and continued reliance on the Internet and related technologies has
resulted in the generation of large amounts of data that can be made available for analyses …
resulted in the generation of large amounts of data that can be made available for analyses …
Black-box vs. white-box: Understanding their advantages and weaknesses from a practical point of view
O Loyola-Gonzalez - IEEE access, 2019 - ieeexplore.ieee.org
Nowadays, in the international scientific community of machine learning, there exists an
enormous discussion about the use of black-box models or explainable models; especially …
enormous discussion about the use of black-box models or explainable models; especially …
Multi-stage optimized machine learning framework for network intrusion detection
Cyber-security garnered significant attention due to the increased dependency of individuals
and organizations on the Internet and their concern about the security and privacy of their …
and organizations on the Internet and their concern about the security and privacy of their …
Mobile game-based learning as a solution in COVID-19 era: Modeling the pedagogical affordance and student interactions
The closure of educational institutions due to the COVID-19 pandemic leads imperatively to
the utilization of technological advances and the Internet for enabling the continuity of …
the utilization of technological advances and the Internet for enabling the continuity of …
Systematic ensemble model selection approach for educational data mining
A plethora of research has been done in the past focusing on predicting student's
performance in order to support their development. Many institutions are focused on …
performance in order to support their development. Many institutions are focused on …
E-learning in karabuk university: The influence of students' engagement on their performance
ISM ALGHOWL, A ALHAMAD - المجلة الأفروآسيوية للبحث العلمي (AAJSR), 2024 - aajsr.com
During the COVID-19 outbreak, educational institutions throughout the globe rushed
into'emergency mode,'dramatically modifying teaching by implementing online and e …
into'emergency mode,'dramatically modifying teaching by implementing online and e …
Detecting botnet attacks in IoT environments: An optimized machine learning approach
MN Injadat, A Moubayed… - 2020 32nd International …, 2020 - ieeexplore.ieee.org
The increased reliance on the Internet and the corresponding surge in connectivity demand
has led to a significant growth in Internet-of-Things (IoT) devices. The continued deployment …
has led to a significant growth in Internet-of-Things (IoT) devices. The continued deployment …
Multi-split optimized bagging ensemble model selection for multi-class educational data mining
Predicting students' academic performance has been a research area of interest in recent
years, with many institutions focusing on improving the students' performance and the …
years, with many institutions focusing on improving the students' performance and the …
Feature evaluation of emerging e-learning systems using machine learning: An extensive survey
As of late, with the progression of AI and man-made brainpower, there has been a
developing spotlight on versatile e-learning. As all ways to deal with e-learning lose their …
developing spotlight on versatile e-learning. As all ways to deal with e-learning lose their …
A hybrid machine learning framework for predicting students' performance in virtual learning environment
E Evangelista - International Journal of Emerging Technologies in …, 2021 - learntechlib.org
Abstract Virtual Learning Environments (VLE), such as Moodle and Blackboard, store vast
data to help identify students' performance and engagement. As a result, researchers have …
data to help identify students' performance and engagement. As a result, researchers have …