A survey of blockchain, artificial intelligence, and edge computing for Web 3.0

J Zhu, F Li, J Chen - Computer Science Review, 2024 - Elsevier
Abstract Web 3.0, as the third generation of the World Wide Web, aims to solve
contemporary problems of trust, centralization, and data ownership. Driven by the latest …

A review of privacy and security of edge computing in smart healthcare systems: issues, challenges, and research directions

A Alzu'bi, A Alomar, S Alkhaza'leh… - Tsinghua Science …, 2024 - ieeexplore.ieee.org
The healthcare industry is rapidly adapting to new computing environments and
technologies. With academics increasingly committed to developing and enhancing …

Toward an intrusion detection model for IoT-based smart environments

C Hazman, A Guezzaz, S Benkirane… - Multimedia Tools and …, 2024 - Springer
Abstract Nowadays, modern Internet of Things (IoT) applications are enabling smart cities
across the world. They provide remote device monitoring, management, and control, and …

[PDF][PDF] RETRACTED ARTICLE: Latency aware smart health care system using edge and fog computing

A Ullah, S Yasin, T Alam - Multimedia Tools and Applications, 2024 - researchgate.net
Numerous gadgets are linked together globally by the Internet of Things (IoT). Health
checking, exercise programmers and remote medical assistance are a few examples of …

Combining Machine Learning and Edge Computing: Opportunities, Challenges, Platforms, Frameworks, and Use Cases

P Grzesik, D Mrozek - Electronics, 2024 - mdpi.com
In recent years, we have been observing the rapid growth and adoption of IoT-based
systems, enhancing multiple areas of our lives. Concurrently, the utilization of machine …

Machine Learning for Smart Healthcare Management Using IoT

Y Yigit, K Duran, N Moradpoor, L Maglaras… - IoT and ML for …, 2024 - Springer
This chapter explores the significant impact of Machine Learning (ML) and the Internet of
Things (IoT) on smart healthcare management, marking a new era of innovation with …

[HTML][HTML] Enhancing medical image classification via federated learning and pre-trained model

PN Srinivasu, GJ Lakshmi, SC Narahari, J Shafi… - Egyptian Informatics …, 2024 - Elsevier
The precise classification of medical images is crucial in various healthcare applications,
especially in fields like disease diagnosis and treatment planning. In recent times, machine …

Enhancing security in smart healthcare systems: Using intelligent edge computing with a novel Salp Swarm Optimization and radial basis neural network algorithm

A Almalawi, A Zafar, B Unhelkar, S Hassan, F Alqurashi… - Heliyon, 2024 - cell.com
A smart healthcare system (SHS) is a health service system that employs advanced
technologies such as wearable devices, the Internet of Things (IoT), and mobile internet to …

Edge-DPSDG: An Edge-based Differential Privacy Protection Model for Smart Healthcare

M Lyu, Z Ni, Q Chen, F Li - IEEE Transactions on Big Data, 2024 - ieeexplore.ieee.org
The edge computing paradigm has revolutionized the healthcare sector, providing more real-
time medical data processing and analysis, which also poses more serious privacy and …

Enabling Artificial Intelligence on IoT Edge: Smart Approaches and Solutions for Providing Remote Dental and Medical Services

AS Adly, AS Adly, E Malthiery, SA Shah, E Estephan… - IoT Edge …, 2024 - Springer
Recently, adapting the concepts of artificial intelligence, edgecomputing, and internet of
things (IoT) has been proven to rapidly improve the healthcare in different sectors and …