Deep learning and image processing-based early detection of Alzheimer disease in cognitively normal individuals

P Borkar, VA Wankhede, DT Mane, S Limkar… - Soft Computing, 2023 - Springer
Alzheimer's patients typically suffer from a decline in cognitive abilities, which makes it
difficult for them to carry out the activities of daily living. At this time, it is unknown whether or …

Emotion detection based on infrared thermography: A review of machine learning and deep learning algorithms

S Calderon-Uribe, LAM Hernández… - Infrared Physics & …, 2024 - Elsevier
Thermography has proven to be a valuable tool in the study of psychology and the
understanding of emotional states, analyzing how they influence perception, thought and …

Thermal mapping the eye: A critical review of advances in infrared imaging for disease detection

J Persiya, A Sasithradevi - Journal of Thermal Biology, 2024 - Elsevier
Infrared thermography (IRT) has become more accessible due to technological
advancements, making thermal cameras more affordable. Infrared thermal cameras capture …

Development of a robust parallel and multi-composite machine learning model for improved diagnosis of Alzheimer's disease: correlation with dementia-associated …

A Khan, S Zubair, M Shuaib, A Sheneamer… - Frontiers in …, 2024 - frontiersin.org
Introduction Machine learning (ML) algorithms and statistical modeling offer a potential
solution to offset the challenge of diagnosing early Alzheimer's disease (AD) by leveraging …

Anticipating interpersonal sensitivity: A predictive model for early intervention in psychological disorders in college students

M Zhang, K Yan, Y Chen, R Yu - Computers in Biology and Medicine, 2024 - Elsevier
Psychological disorders, notably social anxiety and depression, exert detrimental effects on
university students, impeding academic achievement and overall development. Timely …

Rapid Detection of Pilgrims Whereabouts During Hajj and Umrah by Wireless Communication Framework: An application AI and Deep Learning

M Alhameed, MA Hossain - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Human injuries and deaths occur often during public events like concerts, religious services,
and political rallies because of a lack of proper crowd safety oversight. A small disaster can …

Trustworthy federated learning model for the internet of robotic things

S Basudan, A Alamer - Enterprise Information Systems, 2024 - Taylor & Francis
Federated learning (FL) has become a viable concept in the Internet of Robotic Things
(IoRT) by allowing local gradients to be shared and used to train a global model without …

CNN Based Face Emotion Recognition System for Healthcare Application

RK Kanna, BS Panigrahi, SK Sahoo… - … on Pervasive Health …, 2024 - publications.eai.eu
INTRODUCTION: Because it has various benefits in areas such psychology, human-
computer interaction, and marketing, the recognition of facial expressions has gained a lot of …

Unveiling human eye temperature with deep learning-powered segmentation

J Persiya, A Sasithradevi - Biomedical Signal Processing and Control, 2025 - Elsevier
Thermal imaging technology presents a promising, non-invasive tool for medical
diagnostics, particularly in eye health assessment. However, accurately delineating the eye …

Facial Expression Recognition Using Visible, IR, and MSX Images by Early and Late Fusion of Deep Learning Models

MT Naseem, CS Lee, NH Kim - IEEE Access, 2024 - ieeexplore.ieee.org
Facial expression recognition (FER) is one of the best non-intrusive methods for
understanding and tracking mood and mental states. In this study, we propose early and late …