Blockchain and machine learning: A critical review on security

H Taherdoost - Information, 2023 - mdpi.com
Blockchain is the foundation of all cryptocurrencies, while machine learning (ML) is one of
the most popular technologies with a wide range of possibilities. Blockchain may be …

Navigating the Future: Blockchain's Impact on Accounting and Auditing Practices

S Sheela, AA Alsmady, K Tanaraj, I Izani - Sustainability, 2023 - mdpi.com
This study seeks to meticulously analyze the scholarly discussion on the integration of
blockchain technology into accounting and auditing. Based on a total of 67 articles from the …

Recent advancements and future prospects in active deep learning for medical image segmentation and classification

T Mahmood, A Rehman, T Saba, L Nadeem… - IEEE …, 2023 - ieeexplore.ieee.org
Medical images are helpful for the diagnosis, treatment, and evaluation of diseases. Precise
medical image segmentation improves diagnosis and decision-making, aiding intelligent …

A new framework for fraud detection in bitcoin transactions through ensemble stacking model in smart cities

N Nayyer, N Javaid, M Akbar, A Aldegheishem… - IEEE …, 2023 - ieeexplore.ieee.org
Bitcoin has a reputation of being used for unlawful activities, such as money laundering,
dark web transactions, and payments for ransomware in the context of smart cities …

On the integration of artificial intelligence and blockchain technology: a perspective about security

A Kuznetsov, P Sernani, L Romeo, E Frontoni… - IEEE …, 2024 - ieeexplore.ieee.org
As reliance on disruptive applications based on Artificial Intelligence (AI) and Blockchain
grows, the need for secure and trustworthy solutions becomes ever more critical. Whereas …

[HTML][HTML] Detecting anomalies in blockchain transactions using machine learning classifiers and explainability analysis

M Hasan, MS Rahman, H Janicke, IH Sarker - Blockchain: Research and …, 2024 - Elsevier
As the use of Blockchain for digital payments continues to rise in popularity, it also becomes
susceptible to various malicious attacks. Successfully detecting anomalies within Blockchain …

[PDF][PDF] An Intelligent Machine Learning Approach for Fraud Detection in Medical Claim Insurance: A Comprehensive Study

S Agarwal - Scholars Journal of Engineering and Technology, 2023 - saspublishers.com
Medical claim insurance fraud poses a significant challenge for insurance companies and
the healthcare system, leading to financial losses and reduced efficiency. In response to this …

Blockchain-Based Malicious Behaviour Management Scheme for Smart Grids

Z Xu, A Salehi Shahraki, C Rudolph - Smart Cities, 2023 - mdpi.com
The smart grid optimises energy transmission efficiency and provides practical solutions for
energy saving and life convenience. Along with a decentralised, transparent and fair trading …

A machine-learning-based approach for predicting mechanical performance of semi-porous hip stems

K Akkad, H Mehboob, R Alyamani… - Journal of Functional …, 2023 - mdpi.com
Novel designs of porous and semi-porous hip stems attempt to alleviate complications such
as aseptic loosening, stress shielding, and eventual implant failure. Various designs of hip …

Pulling off the mask: Forensic analysis of the deceptive creator wallets behind smart contract fraud

M Yao, R Zhang, H Xu, SH Chou, VC Paturi… - 2024 IEEE Symposium …, 2024 - computer.org
Criminals, using crypto wallets referred to as Deceptive Creator Wallets (DCWs), have
orchestrated fraudulent activities by luring victims to transfer funds to fraud smart contracts …