Multiple access techniques for intelligent and multifunctional 6G: Tutorial, survey, and outlook

B Clerckx, Y Mao, Z Yang, M Chen… - Proceedings of the …, 2024 - ieeexplore.ieee.org
Multiple access (MA) is a crucial part of any wireless system and refers to techniques that
make use of the resource dimensions (eg, time, frequency, power, antenna, code, and …

Machine learning-based orchestration of containers: A taxonomy and future directions

Z Zhong, M Xu, MA Rodriguez, C Xu… - ACM Computing Surveys …, 2022 - dl.acm.org
Containerization is a lightweight application virtualization technology, providing high
environmental consistency, operating system distribution portability, and resource isolation …

Cloud-edge orchestration for the Internet of Things: Architecture and AI-powered data processing

Y Wu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) has been deeply penetrated into a wide range of important and
critical sectors, including smart city, water, transportation, manufacturing, and smart factory …

GGNet: A novel graph structure for power forecasting in renewable power plants considering temporal lead-lag correlations

N Zhu, Y Wang, K Yuan, J Yan, Y Li, K Zhang - Applied Energy, 2024 - Elsevier
Power forecast for each renewable power plant (RPP) in the renewable energy clusters is
essential. Though existing graph neural networks (GNN)-based models achieve satisfactory …

Intelligent productivity transformation: corporate market demand forecasting with the aid of an AI virtual assistant

B Liu, M Li, Z Ji, H Li, J Luo - Journal of Organizational and End User …, 2024 - igi-global.com
With the penetration of deep learning technology into forecasting and decision support
systems, enterprises have an increasingly urgent need for accurate forecasting of time …

Multi-indicator water quality prediction with attention-assisted bidirectional LSTM and encoder-decoder

J Bi, L Zhang, H Yuan, J Zhang - Information Sciences, 2023 - Elsevier
Accurate and real-time prediction of water quality not only helps to assess the environmental
quality of water, but also effectively prevents and controls water quality emergencies. In …

[HTML][HTML] A comprehensive study on the role of machine learning in 5G security: Challenges, technologies, and solutions

HN Fakhouri, S Alawadi, FM Awaysheh, IB Hani… - Electronics, 2023 - mdpi.com
Fifth-generation (5G) mobile networks have already marked their presence globally,
revolutionizing entertainment, business, healthcare, and other domains. While this leap …

An intelligent straggler traffic management framework for sustainable cloud environments

SR Swain, D Saxena, J Kumar… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Large-scale computing systems in the modern era distribute tasks into smaller units that can
be executed simultaneously to speed up job completion and decrease energy usage …

Start: Straggler prediction and mitigation for cloud computing environments using encoder lstm networks

S Tuli, SS Gill, P Garraghan, R Buyya… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Modern large-scale computing systems distribute jobs into multiple smaller tasks which
execute in parallel to accelerate job completion rates and reduce energy consumption …

Accurate prediction of workloads and resources with multi-head attention and hybrid LSTM for cloud data centers

J Bi, H Ma, H Yuan, J Zhang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Currently, cloud computing service providers face big challenges in predicting large-scale
workload and resource usage time series. Due to the difficulty in capturing nonlinear …