Unleashing the power of edge-cloud generative ai in mobile networks: A survey of aigc services

M Xu, H Du, D Niyato, J Kang, Z Xiong… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating,
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …

Mobile edge computing and machine learning in the internet of unmanned aerial vehicles: a survey

Z Ning, H Hu, X Wang, L Guo, S Guo, G Wang… - ACM Computing …, 2023 - dl.acm.org
Unmanned Aerial Vehicles (UAVs) play an important role in the Internet of Things and form
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …

Energy-efficient offloading for DNN-based smart IoT systems in cloud-edge environments

X Chen, J Zhang, B Lin, Z Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Deep Neural Networks (DNNs) have become an essential and important supporting
technology for smart Internet-of-Things (IoT) systems. Due to the high computational costs of …

STMGCN: Mobile edge computing-empowered vessel trajectory prediction using spatio-temporal multigraph convolutional network

RW Liu, M Liang, J Nie, Y Yuan, Z Xiong… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The revolutionary advances in machine learning and data mining techniques have
contributed greatly to the rapid developments of maritime Internet of Things (IoT). In maritime …

Machine and deep learning for resource allocation in multi-access edge computing: A survey

H Djigal, J Xu, L Liu, Y Zhang - IEEE Communications Surveys …, 2022 - ieeexplore.ieee.org
With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …

Financial causal sentence recognition based on BERT-CNN text classification

CX Wan, B Li - The Journal of Supercomputing, 2022 - Springer
By studying the causality contained in financial texts, we can further reveal more potential
laws of economic activities, such as “factors promoting stable and healthy economic …

Exploring the factors influencing users' learning and sharing behavior on social media platforms

J Wang, J Xie - Library Hi Tech, 2023 - emerald.com
Purpose The research goal is to understand what factors affect users' knowledge and
information learning and sharing on social media platforms. This study focuses on the …

Non-cooperative game algorithms for computation offloading in mobile edge computing environments

J Chen, Q Deng, X Yang - Journal of Parallel and Distributed Computing, 2023 - Elsevier
Abstract Mobile Edge Computing (MEC) has become a promising technology for 5G
networks. Computation offloading is an essential issue of MEC, which enables mobile User …

An efficient DNN splitting scheme for edge-AI enabled smart manufacturing

H Gauttam, KK Pattanaik, S Bhadauria, G Nain… - Journal of Industrial …, 2023 - Elsevier
Abstract Deep Neural Network (DNN)-based IoT solutions are enabling automation in smart
manufacturing. However, the execution of these compute-intensive solutions in real/near …

Energy efficient consensus approach of blockchain for IoT networks with edge computing

S Wadhwa, S Rani, S Verma, J Shafi, M Wozniak - Sensors, 2022 - mdpi.com
Blockchain technology is gaining a lot of attention in various fields, such as intellectual
property, finance, smart agriculture, etc. The security features of blockchain have been …