[HTML][HTML] A review of deep learning in dentistry

C Huang, J Wang, S Wang, Y Zhang - Neurocomputing, 2023 - Elsevier
Oral diseases have a significant impact on human health, often going unnoticed in their
early stages. Deep learning, a promising field in artificial intelligence, has shown remarkable …

A Generalized Zero-Shot Deep Learning Classifier for Emotion Recognition Using Facial Expression Images

VS Bhati, N Tiwari, M Chawla - IEEE Access, 2025 - ieeexplore.ieee.org
In the real world environment, various micro and nano facial expressions are generated
according to the mental state of thought, which leads to a change in an emotional state. A …

A Machine Learning Approach to Analyze the Drug Addiction

U Kumara, SSA Siriwardana… - … on Advancements in …, 2023 - ieeexplore.ieee.org
Effective therapies and solutions are required because drug addiction is a serious social
problem. This study applies machine learning approaches to address several aspects of …

Convolutional Neural Network model in Different dataset for Pose Face Recognition

P Jayabharathi, A Suresh - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Face recognition has progressed significantly thanks to recent developments in
convolutional neural networks and the expanding amount of data. Security, healthcare …

[PDF][PDF] REAL TIME SURVEILLANCE FOR CRIMINAL FACE RECOGNITION USING CYBER SECURITY

MS Saravanan - academia.edu
The initiative for Face-Based e-Crime Identification and Online FIR Reporting represents a
pioneering integration of cutting-edge technologies to combat the escalating challenges …

[PDF][PDF] SECURING EXAM INTEGRITY: DETECTING AND PREVENTING FRAUD ACTIVITIES IN EXAMINATION CENTERS USING PYTHON

MM PALANISAMY - academia.edu
Exam malpractice is defined as any international wrong doing that is contrary to the
examination's standards and intended to provide a candidate an unfair advantage. Exam …