[HTML][HTML] How does artificial intelligence impact digital healthcare initiatives? A review of AI applications in dental healthcare

SS Mahdi, G Battineni, M Khawaja, R Allana… - International Journal of …, 2023 - Elsevier
The use of artificial intelligence (AI) technology in dentistry provides information that aids
clinical decision-making by interpreting big data quickly. This study aims to systematically …

[HTML][HTML] How machine learning is used to study addiction in digital healthcare: A systematic review

B Chhetri, LM Goyal, M Mittal - International Journal of Information …, 2023 - Elsevier
Long-term use of drugs can sometimes result in brain damage that greatly affects a person's
psychology and sometimes become indecent. This paper examines psychological disorders …

Dress to impress and serve well to prevail–Modelling regressive discontinuance for social networking sites

M Gandhi, AK Kar - International Journal of Information Management, 2024 - Elsevier
Regressive discontinuance is a form of IS discontinuance that occurs due to adoption failure.
The phenomenon of regressive discontinuance takes place between the adoption and …

[PDF][PDF] Técnicas y aplicaciones del Machine Learning e Inteligencia Artificial en educación: una revisión sistemática

W Forero-Corba, FN Bennasar - RIED-Revista Iberoamericana De …, 2024 - redalyc.org
Resumen El Machine Learning es un campo de la inteligencia artificial que está impactando
últimamente en todas las áreas del conocimiento. Las áreas de las ciencias sociales, en …

[PDF][PDF] Techniques and applications of Machine Learning and Artificial Intelligence in education: a systematic review

W Forero-Corba, FN Bennasar - RIED-Revista Iberoamericana de …, 2024 - redalyc.org
Abstract Machine learning is a field of artificial intelligence that is impacting lately in all areas
of knowledge. The areas of social sciences, especially education, are no stranger to it, so, a …

Exploring the connectivity between education 4.0 and classroom 4.0: Technologies, student perspectives, and engagement in the digital era

K Joshi, R Kumar, S Bharany, DKJB Saini… - IEEE …, 2024 - ieeexplore.ieee.org
The democratic welfare government is equally committed to quality-driven, impartial, and
egalitarian education. The major contribution of this study is to examine the problems and …

[HTML][HTML] An investigation of novel features for predicting student happiness in hybrid learning platforms–An exploration using experiments on trace data

C Verma, Z Illés, D Kumar - International Journal of Information …, 2024 - Elsevier
The current study investigated the novel factors influencing informatics students' happiness
and satisfaction using statistical and machine learning algorithms. A statistical t–test proved …

What doesn't kill us makes us stronger: insights from neuroscience studies and molecular genetics

Y Gan, H Huang, X Wu, M Meng - Current Opinion in Behavioral Sciences, 2024 - Elsevier
Highlights•Neural mechanisms underlying stress and resilience are discussed.•Genetic
factors may partially determine why only some individuals develop resilience.•Machine …

[HTML][HTML] Automating attendance management in human resources: A design science approach using computer vision and facial recognition

BT Nguyen-Tat, MQ Bui, VM Ngo - International Journal of Information …, 2024 - Elsevier
Haar Cascade is a cost-effective and user-friendly machine learning-based algorithm for
detecting objects in images and videos. Unlike Deep Learning algorithms, which typically …

A New Perspective on Stress Detection: An Automated Approach for Detecting Eustress and Distress

M Awada, B Becerik-Gerber, G Lucas… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Previous studies have solely focused on establishing Machine Learning (ML) models for
automated detection of stress arousal. However, these studies do not recognize stress …