Machine learning-assisted materials development and device management in batteries and supercapacitors: performance comparison and challenges

S Jha, M Yen, YS Salinas, E Palmer… - Journal of Materials …, 2023 - pubs.rsc.org
Machine learning (ML) has been the focus in recent studies aiming to improve battery and
supercapacitor technology. Its application in materials research has demonstrated promising …

A reliable network intrusion detection approach using decision tree with enhanced data quality

A Guezzaz, S Benkirane, M Azrour… - Security and …, 2021 - Wiley Online Library
Due to the recent advancements in the Internet of things (IoT) and cloud computing
technologies and growing number of devices connected to the Internet, the security and …

[PDF][PDF] A Lightweight Hybrid Intrusion Detection Framework using Machine Learning for Edge-Based IIoT Security.

A Guezzaz, M Azrour, S Benkirane… - Int. Arab J. Inf …, 2022 - ccis2k.org
Due to the development of cloud computing and Internet of Things (IoT) environments, such
as healthcare systems, telecommunications and Industry 4.0 or Industrial IoT (IIoT) many …

Systematic review on educational data mining in educational gamification

N Bošnjaković, I Đurđević Babić - Technology, knowledge and learning, 2023 - Springer
To improve and facilitate the acquisition of learning outcomes, teachers often use innovative
teaching methods such as gamification to keep students' attention and increase their …

Utilization of random forest classifier and artificial neural network for predicting the acceptance of reopening decommissioned nuclear power plant

AKS Ong, YT Prasetyo, KEC Velasco, EDR Abad… - Annals of Nuclear …, 2022 - Elsevier
Abstract The Bataan Nuclear Power Plant (BNPP) is one of the many decommissioned
Nuclear Power Plant (NPP) globally and its reopening has led to different perceptions …

[HTML][HTML] Decision tree learning through a predictive model for student academic performance in intelligent m-learning environments

V Matzavela, E Alepis - Computers and Education: Artificial Intelligence, 2021 - Elsevier
In the area of machine learning and data science, decision tree learning is considered as
one of the most popular classification techniques. Therefore, a decision tree algorithm …

Real-time emotion classification using eeg data stream in e-learning contexts

A Nandi, F Xhafa, L Subirats, S Fort - Sensors, 2021 - mdpi.com
In face-to-face and online learning, emotions and emotional intelligence have an influence
and play an essential role. Learners' emotions are crucial for e-learning system because …

Purchasing intentions analysis of hybrid cars using random forest classifier and deep learning

AKS Ong, LNZ Cordova, FAB Longanilla… - World Electric Vehicle …, 2023 - mdpi.com
In developed or first-world countries, hybrid cars are widely utilized and essential in
technological development and reducing carbon emissions. Despite that, developing or third …

Survey of machine learning techniques for student profile modeling

T Hamim, F Benabbou, N Sael - International Journal of Emerging …, 2021 - learntechlib.org
Developments in information technology have led to the emergence of several online
platforms for educational purposes, such as e-learning platforms, e-recommendation …

Design and development of diagnostic Chabot for supporting primary health care systems

B Kidwai, RK Nadesh - Procedia Computer Science, 2020 - Elsevier
Technology is increasingly becoming a massive part of today's healthcare scenario.
Technology has changed the way how patients communicate with doctors and not only that …