[HTML][HTML] A review on federated learning and machine learning approaches: Categorization, application areas, and blockchain technology

RO Ogundokun, S Misra, R Maskeliunas… - Information, 2022 - mdpi.com
Federated learning (FL) is a scheme in which several consumers work collectively to unravel
machine learning (ML) problems, with a dominant collector synchronizing the procedure …

Toward privacy preservation using clustering based anonymization: recent advances and future research outlook

A Majeed, S Khan, SO Hwang - IEEE Access, 2022 - ieeexplore.ieee.org
With the continuous increase in avenues of personal data generation, privacy protection has
become a hot research topic resulting in various proposed mechanisms to address this …

[HTML][HTML] RAPCHI: Robust authentication protocol for IoMT-based cloud-healthcare infrastructure

V Kumar, MS Mahmoud, A Alkhayyat, J Srinivas… - The Journal of …, 2022 - Springer
With the fast growth of technologies like cloud computing, big data, the Internet of Things,
artificial intelligence, and cyber-physical systems, the demand for data security and privacy …

Optimization assisted bidirectional gated recurrent unit for healthcare monitoring system in big-data

PK Shukla, S Stalin, S Joshi, PK Shukla… - Applied Soft Computing, 2023 - Elsevier
A substantial amount of health-related data has been produced as a result of the
development of technology and expert systems. Due to noise, formats, size, missing values …

Empowering small businesses with the force of big data analytics and AI: A technological integration for enhanced business management

A Mantri, R Mishra - The Journal of High Technology Management …, 2023 - Elsevier
Small and medium-sized businesses (SMEs) in developing economies still face a number of
obstacles that prevent them from adopting digital technologies. In contrast, SMEs have …

Comprehensive Review on Development of Smart Cities Using Industry 4.0 Technologies

M Talebkhah, A Sali, M Gordan, SJ Hashim… - IEEE …, 2023 - ieeexplore.ieee.org
Smart Cities (SCs) have recently opened new lifestyles as they introduce effective
approaches for improving urban management. These cities integrate Industry 4.0 …

SMART HEALTH SYSTEM USING STACKING ENSEMBLE CLASSIFICATION ALGORITHM.

D Sathya, T Primya, S Vinothini… - International …, 2022 - search.ebscohost.com
Data Mining is a powerful technology and is used to identify useful and understandable
patterns by analyzing large sets of data. It gives a detailed view of various disease …

Online and Offline Integration of Smart Educational Monitoring System based on Face Recognition Smart Sign-in Devices

D Zhu, X Shen - 2022 International Conference on Inventive …, 2022 - ieeexplore.ieee.org
Online and offline integration of smart educational monitoring system based on face
recognition smart sign-in devices is studied in the paper. The face image analysis algorithm …

Analysis of the Implementation of Smart Cities Initiatives in Northeast Bulgaria's Districts

N Tsonkov, K Petrov - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Bulgarian municipalities' smart development is the cornerstone for building regional
innovative ecosystems. In this respect, the report presents the authors' comparative analysis …

Big data analytics and internet of things for personalised healthcare: opportunities and challenges.

S Venkatraman, S Parvin, W Mansoor… - … Journal of Electrical …, 2023 - search.ebscohost.com
With the increasing use of technologies and digitally driven healthcare systems worldwide,
there will be several opportunities for the use of big data in personalized healthcare. In …