[HTML][HTML] Towards defining industry 5.0 vision with intelligent and softwarized wireless network architectures and services: A survey

S Zeb, A Mahmood, SA Khowaja, K Dev… - Journal of Network and …, 2024 - Elsevier
Abstract Industry 5.0 vision, a step toward the next industrial revolution and enhancement to
Industry 4.0, conceives the new goals of resilient, sustainable, and human-centric …

Edge-cloud polarization and collaboration: A comprehensive survey for ai

J Yao, S Zhang, Y Yao, F Wang, J Ma… - … on Knowledge and …, 2022 - ieeexplore.ieee.org
Influenced by the great success of deep learning via cloud computing and the rapid
development of edge chips, research in artificial intelligence (AI) has shifted to both of the …

Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence

C Zhao - Journal of Process Control, 2022 - Elsevier
The development of the Internet of Things, cloud computing, and artificial intelligence has
given birth to industrial artificial intelligence (IAI) technology, which enables us to obtain fine …

Deep learning approach to text analysis for human emotion detection from big data

J Guo - Journal of Intelligent Systems, 2022 - degruyter.com
Emotional recognition has arisen as an essential field of study that can expose a variety of
valuable inputs. Emotion can be articulated in several means that can be seen, like speech …

Internet of things (iot): Origin, embedded technologies, smart applications and its growth in the last decade

JS Yalli, MH Hasan, A Badawi - IEEE access, 2024 - ieeexplore.ieee.org
The idea of the IoT began back in 1982 when a vending machine was connected to the
internet, then to the concept of Mark Weiser in 1992, then RFID, and so on. A detailed …

DDPQN: An efficient DNN offloading strategy in local-edge-cloud collaborative environments

M Xue, H Wu, G Peng, K Wolter - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT) and communication technology,
Deep Neural Network (DNN) applications like computer vision, can now be widely used in …

Cloud-edge-device collaboration mechanisms of deep learning models for smart robots in mass personalization

C Yang, Y Wang, S Lan, L Wang, W Shen… - Robotics and Computer …, 2022 - Elsevier
Personalized products have gradually become the main business model and core
competencies of many enterprises. Large differences in components and short delivery …

Blockchain on security and forensics management in edge computing for IoT: A comprehensive survey

Z Liao, X Pang, J Zhang, B **ong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Security and forensics represent two key components for network management, especially
to guarantee the trusted operation of massive access networks such as the Internet of Things …

Industry 5.0 is coming: A survey on intelligent nextG wireless networks as technological enablers

S Zeb, A Mahmood, SA Khowaja, K Dev… - arxiv preprint arxiv …, 2022 - arxiv.org
Industry 5.0 vision, a step toward the next industrial revolution and enhancement to Industry
4.0, envisioned the new goals of resilient, sustainable, and human-centric approaches in …

End-edge-cloud collaborative computing for deep learning: A comprehensive survey

Y Wang, C Yang, S Lan, L Zhu… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The booming development of deep learning applications and services heavily relies on
large deep learning models and massive data in the cloud. However, cloud-based deep …