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 …

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 …

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

Y Wang, Q Chen, T Hong… - IEEE Transactions on …, 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 …

[HTML][HTML] Deep neural network correlation learning mechanism for CT brain tumor detection

M Woźniak, J Siłka, M Wieczorek - Neural Computing and Applications, 2021 - 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 …

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 …

Security, privacy and trust of different layers in Internet-of-Things (IoTs) framework

A Tewari, BB Gupta - Future generation computer systems, 2020 - Elsevier
Abstract Internet of Things (IoT) is playing an important role after its showing up, it covers
from traditional equipment to general household objects such as WSNs and RFID. With the …

[HTML][HTML] Big data analytics in smart grids: a review

Y Zhang, T Huang, EF Bompard - Energy informatics, 2018 - Springer
Data analytics are now playing a more important role in the modern industrial systems.
Driven by the development of information and communication technology, an information …

A manufacturing big data solution for active preventive maintenance

J Wan, S Tang, D Li, S Wang, C Liu… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Industry 4.0 has become more popular due to recent developments in cyber-physical
systems, big data, cloud computing, and industrial wireless networks. Intelligent …

Location privacy protection based on differential privacy strategy for big data in industrial internet of things

C Yin, J Xi, R Sun, J Wang - IEEE Transactions on Industrial …, 2017 - ieeexplore.ieee.org
In the research of location privacy protection, the existing methods are mostly based on the
traditional anonymization, fuzzy and cryptography technology, and little success in the big …

Deep matrix factorization with implicit feedback embedding for recommendation system

B Yi, X Shen, H Liu, Z Zhang, W Zhang… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Automatic recommendation has become an increasingly relevant problem to industries,
which allows users to discover new items that match their tastes and enables the system to …