A critical analysis of the integration of blockchain and artificial intelligence for supply chain

V Charles, A Emrouznejad, T Gherman - Annals of Operations Research, 2023 - Springer
The integration between blockchain and artificial intelligence (AI) has gained a lot of
attention in recent years, especially since such integration can improve security, efficiency …

A survey of COVID-19 detection and prediction approaches using mobile devices, AI, and telemedicine

J Shen, S Ghatti, NR Levkov, H Shen, T Sen… - Frontiers in Artificial …, 2022 - frontiersin.org
Since 2019, the COVID-19 pandemic has had an extremely high impact on all facets of the
society and will potentially have an everlasting impact for years to come. In response to this …

Appositeness of optimized and reliable machine learning for healthcare: a survey

S Swain, B Bhushan, G Dhiman… - Archives of Computational …, 2022 - Springer
Abstract Machine Learning (ML) has been categorized as a branch of Artificial Intelligence
(AI) under the Computer Science domain wherein programmable machines imitate human …

Adaptive secure malware efficient machine learning algorithm for healthcare data

MA Mohammed, A Lakhan, DA Zebari… - CAAI Transactions …, 2023 - Wiley Online Library
Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes,
preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom …

AI in blockchain towards realizing cyber security

R Salama, F Al-Turjman - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Blockchain and artificial intelligence are two technologies that, when combined, have the
ability to help each other realize their full potential. Blockchains can guarantee the …

Blockchain and cloud computing-based secure electronic healthcare records storage and sharing

A Amanat, M Rizwan, C Maple, YB Zikria… - Frontiers in Public …, 2022 - frontiersin.org
Healthcare information is essential for both service providers and patients. Further secure
sharing and maintenance of Electronic Healthcare Records (EHR) are imperative. EHR …

Enhancing Healthcare Data Security and User Convenience: An Exploration of Integrated Single Sign-On (SSO) and OAuth for Secure Patient Data Access within …

AKR Sadhu - Hong Kong Journal of AI and Medicine, 2023 - hongkongscipub.com
The ever-increasing adoption of cloud-based healthcare applications necessitates robust
security measures to ensure the confidentiality, integrity, and availability of sensitive patient …

Prediction for chronic kidney disease by categorical and non_categorical attributes using different machine learning algorithms

S Pal - Multimedia Tools and Applications, 2023 - Springer
Chronic kidney disease (CKD) is a common disease as it is difficult to diagnose early due to
its lack of symptoms. The main goal is to first diagnose kidney failure, which is a requirement …

A reinforcement learning-based approach for availability-aware service function chain placement in large-scale networks

GL Santos, PT Endo, T Lynn, D Sadok… - Future Generation …, 2022 - Elsevier
By decoupling network service functions from custom-built hardware, network function
virtualization is transforming network service provisioning, making large scale …

AI enabled internet of medical things framework for smart healthcare

J Srivastava, S Routray - … on Innovations in Intelligent Computing and …, 2022 - Springer
Abstract Internet of Medical Things (IoMT) is basically the use of the Internet of Things (IoT)
in Smart Healthcare where automation in health monitoring is provided using Artificial …