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Federated learning for medical applications: A taxonomy, current trends, challenges, and future research directions
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 …
(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
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 …
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 …
increasing day by day. However, excessive amounts of data create great challenges for …
A survey on deep learning for multimodal data fusion
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 …
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
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 …
particularly in sectors such as healthcare, owing to the exponential growth of data and …
Towards big data driven construction industry
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 …
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
Modern medical clinics support medical examinations with computer systems which use
Computational Intelligence on the way to detect potential health problems in more efficient …
Computational Intelligence on the way to detect potential health problems in more efficient …
Review of smart meter data analytics: Applications, methodologies, and challenges
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 …
electricity consumption data to be collected. Meanwhile, the deregulation of the power …
Differential privacy techniques for cyber physical systems: A survey
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 …
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
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 …
research attention and implementation in today's industrial activities, business intelligence …