[HTML][HTML] Blockchain consensus mechanisms comparison in fog computing: A systematic review

YI Alzoubi, A Mishra - ICT Express, 2024 - Elsevier
Numerous consensus mechanisms have been suggested to cater to the specific
characteristics of fog computing. To comprehensively understand their unique features …

Exploring the Synergy of Fog Computing, Blockchain, and Federated Learning for IoT Applications: A Systematic Literature Review

WV Solis, JM Parra-Ullauri, A Kertesz - IEEE Access, 2024 - ieeexplore.ieee.org
The proliferation of Internet of Things (IoT) applications poses formidable challenges in
managing data processing, privacy, and security. In response, technologies such as Fog …

Advancing forensic-based investigation incorporating slime mould search for gene selection of high-dimensional genetic data

F Qiu, AA Heidari, Y Chen, H Chen, G Liang - Scientific Reports, 2024 - nature.com
Modern medicine has produced large genetic datasets of high dimensions through
advanced gene sequencing technology, and processing these data is of great significance …

A blockchain-based security system with light cryptography for user authentication security

I Hagui, A Msolli, N ben Henda, A Helali… - Multimedia Tools and …, 2024 - Springer
Abstract Nowadays, the Internet of Things (IoT) enables the creation of a wide range of new
services, including smart cities, agriculture, energy, technology, healthcare, and other …

A novel machine learning model for efficacy prediction of immunotherapy-chemotherapy in NSCLC based on CT radiomics

C Li, Z Zhou, L Hou, K Hu, Z Wu, Y Xie… - Computers in Biology …, 2024 - Elsevier
Lung cancer is categorized into two main types: non-small cell lung cancer (NSCLC) and
small cell lung cancer. Of these, NSCLC accounts for approximately 85% of all cases and …

A framework for low cost, ubiquitous and interactive smart refrigerator

S Mundody, RMR Guddeti - Multimedia Tools and Applications, 2024 - Springer
Abstract Internet of Things (IoT) and Artificial Intelligence (AI)-enabled technologies are
essential in developing innovative environments and intelligent applications. IoT and AI …

Predictive modeling for early detection of biliary atresia in infants with cholestasis: Insights from a machine learning study

X Chen, D Zhao, H Ji, Y Chen, Y Li, Z Zuo - Computers in Biology and …, 2024 - Elsevier
Cholestasis, characterized by the obstruction of bile flow, poses a significant concern in
neonates and infants. It can result in jaundice, inadequate weight gain, and liver dysfunction …

Predictive modeling of deep vein thrombosis risk in hospitalized patients: A Q-learning enhanced feature selection model

R Li, S Chen, J Xia, H Zhou, Q Shen, Q Li… - Computers in Biology and …, 2024 - Elsevier
Deep vein thrombosis (DVT) represents a critical health concern due to its potential to lead
to pulmonary embolism, a life-threatening complication. Early identification and prediction of …

Enhanced Runge-Kutta-driven feature selection model for early detection of gastroesophageal reflux disease

J Mao, Z Zhu, M Xia, M Zhou, L Wang, J Xia… - Computers in Biology …, 2024 - Elsevier
Gastroesophageal reflux disease (GERD) profoundly compromises the quality of life, with
prolonged untreated cases posing a heightened risk of severe complications such as …

A multi-objective optimisation approach with improved pareto-optimal solutions to enhance economic and environmental dispatch in power systems

MIK Khalil, IU Rahman, M Zakarya, A Zia, AA Khan… - Scientific Reports, 2024 - nature.com
This work implements the recently developed n th state Markovian jumping particle swarm
optimisation (PSO) algorithm with local search (NS-MJPSO loc) awareness method to …