[HTML][HTML] Privacy-preserving artificial intelligence in healthcare: Techniques and applications
There has been an increasing interest in translating artificial intelligence (AI) research into
clinically-validated applications to improve the performance, capacity, and efficacy of …
clinically-validated applications to improve the performance, capacity, and efficacy of …
Federated learning for privacy preservation in smart healthcare systems: A comprehensive survey
Recent advances in electronic devices and communication infrastructure have
revolutionized the traditional healthcare system into a smart healthcare system by using …
revolutionized the traditional healthcare system into a smart healthcare system by using …
Prompt engineering for healthcare: Methodologies and applications
Prompt engineering is a critical technique in the field of natural language processing that
involves designing and optimizing the prompts used to input information into models, aiming …
involves designing and optimizing the prompts used to input information into models, aiming …
On the analyses of medical images using traditional machine learning techniques and convolutional neural networks
Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
Machine learning for enhancing transportation security: A comprehensive analysis of electric and flying vehicle systems
This paper delves into the transformative role of machine learning (ML) techniques in
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …
Internet of medical things and healthcare 4.0: Trends, requirements, challenges, and research directions
Healthcare 4.0 is a recent e-health paradigm associated with the concept of Industry 4.0. It
provides approaches to achieving precision medicine that delivers healthcare services …
provides approaches to achieving precision medicine that delivers healthcare services …
A privacy-aware framework for detecting cyber attacks on internet of medical things systems using data fusion and quantum deep learning
Abstract Internet of Medical Things (IoMT) devices and systems are often designed without
adequate security, leaving them highly susceptible to cyber threats. Unlike other IoT …
adequate security, leaving them highly susceptible to cyber threats. Unlike other IoT …
STSIR: An individual-group game-based model for disclosing virus spread in Social Internet of Things
G Wu, L **e, H Zhang, J Wang, S Shen, S Yu - Journal of Network and …, 2023 - Elsevier
Abstract Social Internet of Things (SIoT) with deep integration of Internet of Things and social
networks has become a target of a large number of hackers who attempt to spread viruses …
networks has become a target of a large number of hackers who attempt to spread viruses …
[HTML][HTML] Artificial intelligence for IoMT security: A review of intrusion detection systems, attacks, datasets and Cloud-Fog-Edge architectures
Recent advances in the Internet of Medical Things (IoMT) have impacted traditional medical
treatment and have evolved data communications in the Smart Healthcare scenario …
treatment and have evolved data communications in the Smart Healthcare scenario …
Fusion of federated learning and industrial Internet of Things: A survey
Abstract Industrial Internet of Things (IIoT) lays a new paradigm for the concept of Industry
4.0 and paves an insight for new industrial era. Nowadays smart machines and smart …
4.0 and paves an insight for new industrial era. Nowadays smart machines and smart …