Fog computing for next-generation internet of things: fundamental, state-of-the-art and research challenges

A Hazra, P Rana, M Adhikari, T Amgoth - Computer Science Review, 2023 - Elsevier
In recent times, the Internet of Things (IoT) applications, including smart transportation, smart
healthcare, smart grid, smart city, etc. generate a large volume of real-time data for decision …

Machine learning for wireless sensor networks security: An overview of challenges and issues

R Ahmad, R Wazirali, T Abu-Ain - Sensors, 2022 - mdpi.com
Energy and security are major challenges in a wireless sensor network, and they work
oppositely. As security complexity increases, battery drain will increase. Due to the limited …

Evolutionary machine learning: A survey

A Telikani, A Tahmassebi, W Banzhaf… - ACM Computing …, 2021 - dl.acm.org
Evolutionary Computation (EC) approaches are inspired by nature and solve optimization
problems in a stochastic manner. They can offer a reliable and effective approach to address …

Digital twin of wireless systems: Overview, taxonomy, challenges, and opportunities

LU Khan, Z Han, W Saad, E Hossain… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Future wireless services will focus on improving the quality of life by enabling various
applications, such as extended reality, brain-computer interaction, and healthcare. These …

A comprehensive survey on interoperability for IIoT: Taxonomy, standards, and future directions

A Hazra, M Adhikari, T Amgoth… - ACM Computing Surveys …, 2021 - dl.acm.org
In the era of Industry 4.0, the Internet-of-Things (IoT) performs the driving position analogous
to the initial industrial metamorphosis. IoT affords the potential to couple machine-to …

Machine learning algorithms for social media analysis: A survey

TK Balaji, CSR Annavarapu, A Bablani - Computer Science Review, 2021 - Elsevier
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance

H Shao, J Lin, L Zhang, D Galar, U Kumar - Information Fusion, 2021 - Elsevier
Collaborative fault diagnosis can be facilitated by multisensory fusion technologies, as these
can give more reliable results with a more complete data set. Although deep learning …

A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews

PK Jain, R Pamula, G Srivastava - Computer science review, 2021 - Elsevier
Consumer sentiment analysis is a recent fad for social media-related applications such as
healthcare, crime, finance, travel, and in academia. Disentangling consumer perception to …

Deep learning in mobile and wireless networking: A survey

C Zhang, P Patras, H Haddadi - IEEE Communications surveys …, 2019 - ieeexplore.ieee.org
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

The fractal dimension of complex networks: A review

T Wen, KH Cheong - Information Fusion, 2021 - Elsevier
The fractal property is one of the most important properties in complex networks. It describes
the power law relationship between characteristics of the box and the box size. There are …