[HTML][HTML] Applications of machine learning algorithms to support COVID-19 diagnosis using X-rays data information
Due to the rapid spread of the new coronavirus variant during the most recent pandemic, it
became difficult to distinguish common cold symptoms from those of other respiratory …
became difficult to distinguish common cold symptoms from those of other respiratory …
Perfrdiff: Personalised weight editing for multiple appropriate facial reaction generation
Human facial reactions play crucial roles in dyadic human-human interactions, where
individuals (ie, listeners) with varying cognitive process styles may display different but …
individuals (ie, listeners) with varying cognitive process styles may display different but …
Affective Computing for Healthcare: Recent Trends, Applications, Challenges, and Beyond
Affective computing, which aims to recognize, interpret, and understand human emotions,
provides benefits in healthcare, such as improving patient care and enhancing doctor …
provides benefits in healthcare, such as improving patient care and enhancing doctor …
A radial basis deformable residual convolutional neural model embedded with local multi-modal feature knowledge and its application in cross-subject classification
J Li, Y Zhou, T Liu, TP Jung, X Wan, D Duan… - Expert Systems with …, 2024 - Elsevier
In the spatial cognition and emotion recognition tasks based on electroencephalography
(EEG), the signal information representation of the single modal is incomplete because of …
(EEG), the signal information representation of the single modal is incomplete because of …
Physiological Time-series Fusion with Hybrid Attention for Adaptive Recognition of Pain
M Jiang, Y Li, J He, Y Yang, H Xie… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Automatic pain assessment is an application in healthcare serving personalized pain care,
and patients cannot self-report pain. Pain at the present is inferred from physiological …
and patients cannot self-report pain. Pain at the present is inferred from physiological …
Comparative Analysis of Advancements in Patient Pain Detection using Deep Learning
This review provides a systematic overview of the current state of sentiment analysis as
applied to detecting pain from facial expression A key feature of this work is the employment …
applied to detecting pain from facial expression A key feature of this work is the employment …
Research on multi-robot collaborative operation in logistics and warehousing using A3C optimized YOLOv5-PPO model
L Wang, G Liu - Frontiers in Neurorobotics, 2024 - frontiersin.org
Introduction In the field of logistics warehousing robots, collaborative operation and
coordinated control have always been challenging issues. Although deep learning and …
coordinated control have always been challenging issues. Although deep learning and …
Strategies for Assessing Pain Using Multimodal Pain Detection
A Taha, A Saad, N Nazih - … Conference (ITC-Egypt), 2024 - ieeexplore.ieee.org
Pain assessment is crucial for effective medical care, particularly in cases where patients are
unable to communicate their discomfort, such as infants or individuals with cognitive …
unable to communicate their discomfort, such as infants or individuals with cognitive …
A New Artificial Intelligence Supported Approach to Diagnosis and Prediction of Psoriasis.
MA Bülbül - Gazi Journal of Engineering Sciences (GJES) …, 2024 - search.ebscohost.com
English Early diagnosis and prediction of psoriasis is crucial to control disease progression,
alleviate symptoms and reduce the risk of complications. Diagnosis in the early stages helps …
alleviate symptoms and reduce the risk of complications. Diagnosis in the early stages helps …
Pain Sense: Intelligent Pain Mapping System for Spinal Cord Injuries
K Deshmukh, A Kule, P Bangal… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Millions of people in the world suffer from the injuries and devastating ailment of spinal cord
pain. For correct diagnosis and therapy, professionals must accurately identify spinal cord …
pain. For correct diagnosis and therapy, professionals must accurately identify spinal cord …