Federated learning for medical applications: A taxonomy, current trends, challenges, and future research directions

A Rauniyar, DH Hagos, D Jha… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the advent of the Internet of Things (IoT), artificial intelligence (AI), machine learning
(ML), and deep learning (DL) algorithms, the landscape of data-driven medical applications …

Building the metaverse using digital twins at all scales, states, and relations

Z Lv, S **e, Y Li, MS Hossain, A El Saddik - Virtual Reality & Intelligent …, 2022 - Elsevier
Developments in new-generation information technology have enabled Digital Twins to
reshape the physical world into a virtual digital space and provide technical support for …

Big data with cloud computing: Discussions and challenges

AK Sandhu - Big Data Mining and Analytics, 2021 - ieeexplore.ieee.org
With the recent advancements in computer technologies, the amount of data available is
increasing day by day. However, excessive amounts of data create great challenges for …

A survey on deep learning for multimodal data fusion

J Gao, P Li, Z Chen, J Zhang - Neural Computation, 2020 - direct.mit.edu
With the wide deployments of heterogeneous networks, huge amounts of data with
characteristics of high volume, high variety, high velocity, and high veracity are generated …

Harnessing big data analytics for healthcare: A comprehensive review of frameworks, implications, applications, and impacts

A Ahmed, R **, M Hou, SA Shah, S Hameed - IEEE Access, 2023 - ieeexplore.ieee.org
Big Data Analytics (BDA) has garnered significant attention in both academia and industries,
particularly in sectors such as healthcare, owing to the exponential growth of data and …

Towards big data driven construction industry

F Li, Y Laili, X Chen, Y Lou, C Wang, H Yang… - Journal of Industrial …, 2023 - Elsevier
The construction industry is currently going through an intelligent revolution. The profound
transformation of the Industry 4.0 era is made possible by contemporary technologies such …

Deep neural network correlation learning mechanism for CT brain tumor detection

M Woźniak, J Siłka, M Wieczorek - Neural Computing and Applications, 2023 - Springer
Modern medical clinics support medical examinations with computer systems which use
Computational Intelligence on the way to detect potential health problems in more efficient …

Review of smart meter data analytics: Applications, methodologies, and challenges

Y Wang, Q Chen, T Hong… - IEEE Transactions on smart …, 2018 - ieeexplore.ieee.org
The widespread popularity of smart meters enables an immense amount of fine-grained
electricity consumption data to be collected. Meanwhile, the deregulation of the power …

Differential privacy techniques for cyber physical systems: A survey

MU Hassan, MH Rehmani… - … Communications Surveys & …, 2019 - ieeexplore.ieee.org
Modern cyber physical systems (CPSs) has widely being used in our daily lives because of
development of information and communication technologies (ICT). With the provision of …

Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions

AC Ikegwu, HF Nweke, CV Anikwe, UR Alo… - Cluster …, 2022 - Springer
The study of big data analytics (BDA) methods for the data-driven industries is gaining
research attention and implementation in today's industrial activities, business intelligence …