Robust and fair undersea target detection with automated underwater vehicles for biodiversity data collection
Undersea/subsea data collection via automated underwater vehicles (AUVs) plays an
important role for marine biodiversity research, while it is often much more challenging than …
important role for marine biodiversity research, while it is often much more challenging than …
Trustworthy AI Guidelines in Biomedical Decision-Making Applications: A Scoping Review
M Mora-Cantallops, E García-Barriocanal… - Big Data and Cognitive …, 2024 - mdpi.com
Recently proposed legal frameworks for Artificial Intelligence (AI) depart from some
frameworks of concepts regarding ethical and trustworthy AI that provide the technical …
frameworks of concepts regarding ethical and trustworthy AI that provide the technical …
TrustSys: Trusted decision making scheme for collaborative artificial intelligence of things
Many IoT-based applications have inherited the artificial intelligence of things (AIoT)
techniques to explore new services and benefits of smart recording and monitoring …
techniques to explore new services and benefits of smart recording and monitoring …
Auto diagnosis of Parkinson's disease via a deep learning model based on mixed emotional facial expressions
W Huang, W Xu, R Wan, P Zhang… - IEEE journal of …, 2023 - ieeexplore.ieee.org
Parkinson's disease (PD) is a common degenerative disease of the nervous system in the
elderly. The early diagnosis of PD is very important for potential patients to receive prompt …
elderly. The early diagnosis of PD is very important for potential patients to receive prompt …
Robust brain age estimation based on smri via nonlinear age-adaptive ensemble learning
Precise prediction on brain age is urgently needed by many biomedical areas including
mental rehabilitation prognosis as well as various medicine or treatment trials. People …
mental rehabilitation prognosis as well as various medicine or treatment trials. People …
Securing user privacy in cloud-based whiteboard services against health attribute inference attacks
Cloud-based whiteboard services have gained immense popularity, facilitating seamless
collaboration and communication. However, the open-ended and persistent nature of …
collaboration and communication. However, the open-ended and persistent nature of …
Stacked Model-Based Classification of Parkinson's Disease Patients Using Imaging Biomarker Data
Parkinson's disease (PSD) is a neurological disorder of the brain where nigrostriatal integrity
functions lead to motor and non-motor-based symptoms. Doctors can assess the patient …
functions lead to motor and non-motor-based symptoms. Doctors can assess the patient …
Quantum Face Recognition with Multi-Gate Quantum Convolutional Neural Network
In the last decade, quantum computing has showcased its unique mechanism across
diverse fields, highlighting significant potential for data-driven applications requiring …
diverse fields, highlighting significant potential for data-driven applications requiring …
[PDF][PDF] User-Centric Democratization towards Social Value Aligned Medical AI Services.
Democratic AI, aiming at developing AI systems aligned with human values, holds promise
for making AI services accessible to people. However, concerns have been raised regarding …
for making AI services accessible to people. However, concerns have been raised regarding …
A Study of Privacy-Preserving Neural Network Prediction Based on Replicated Secret Sharing
Y Zhang, P Li - Mathematics, 2023 - mdpi.com
Neural networks have a wide range of promise for image prediction, but in the current setting
of neural networks as a service, the data privacy of the parties involved in prediction raises …
of neural networks as a service, the data privacy of the parties involved in prediction raises …