Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions

SB Atitallah, M Driss, W Boulila, HB Ghézala - Computer Science Review, 2020 - Elsevier
The rapid growth of urban populations worldwide imposes new challenges on citizens' daily
lives, including environmental pollution, public security, road congestion, etc. New …

[HTML][HTML] Deep learning for network traffic monitoring and analysis (NTMA): A survey

M Abbasi, A Shahraki, A Taherkordi - Computer Communications, 2021 - Elsevier
Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …

Industry 5.0 or industry 4.0 S? Introduction to industry 4.0 and a peek into the prospective industry 5.0 technologies

A Raja Santhi, P Muthuswamy - International Journal on Interactive Design …, 2023 - Springer
Abstract The Industrial Revolution can be termed as the transformation of traditional
industrial practices into new techniques dominated by the technologies available at that …

A blockchained federated learning framework for cognitive computing in industry 4.0 networks

Y Qu, SR Pokhrel, S Garg, L Gao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Cognitive computing, a revolutionary AI concept emulating human brain's reasoning
process, is progressively flourishing in the Industry 4.0 automation. With the advancement of …

From emotion AI to cognitive AI

G Zhao, Y Li, Q Xu - International Journal of Network Dynamics and …, 2022 - sciltp.com
Cognitive computing is recognized as the next era of computing. In order to make hardware
and software systems more human-like, emotion artificial intelligence (AI) and cognitive AI …

Brain intelligence: go beyond artificial intelligence

H Lu, Y Li, M Chen, H Kim, S Serikawa - Mobile Networks and Applications, 2018 - Springer
Artificial intelligence (AI) is an important technology that supports daily social life and
economic activities. It contributes greatly to the sustainable growth of Japan's economy and …

Disease prediction by machine learning over big data from healthcare communities

M Chen, Y Hao, K Hwang, L Wang, L Wang - Ieee Access, 2017 - ieeexplore.ieee.org
With big data growth in biomedical and healthcare communities, accurate analysis of
medical data benefits early disease detection, patient care, and community services …

An overview of service placement problem in fog and edge computing

FA Salaht, F Desprez, A Lebre - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
To support the large and various applications generated by the Internet of Things (IoT), Fog
Computing was introduced to complement the Cloud Computing and offer Cloud-like …

Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches

C Fan, D Yan, F **ao, A Li, J An, X Kang - Building Simulation, 2021 - Springer
Buildings have a significant impact on global sustainability. During the past decades, a wide
variety of studies have been conducted throughout the building lifecycle for improving the …

Narrow band internet of things

M Chen, Y Miao, Y Hao, K Hwang - IEEE access, 2017 - ieeexplore.ieee.org
In this paper, we review the background and state-of-the-art of the narrow-band Internet of
Things (NB-IoT). We first introduce NB-IoT general background, development history, and …