State-of-the-art load balancing algorithms for mist-fog-cloud assisted paradigm: a review and future directions

SS Tripathy, K Mishra, DS Roy, K Yadav… - … Methods in Engineering, 2023 - Springer
The rapid growth of IoT devices leads to increasing requests. These tremendous requests
cannot be processed by IoT devices due to the computational power of IoT devices and the …

Deep reinforcement learning-based methods for resource scheduling in cloud computing: A review and future directions

G Zhou, W Tian, R Buyya, R Xue, L Song - Artificial Intelligence Review, 2024 - Springer
With the acceleration of the Internet in Web 2.0, Cloud computing is a new paradigm to offer
dynamic, reliable and elastic computing services. Efficient scheduling of resources or …

Deep learning-based multifunctional end-to-end model for optical character classification and denoising

S **ong, X Chen, H Zhang - Journal of Computational Methods in …, 2023 - ojs.sgsci.org
Optical Character Recognition (OCR) has revolutionized document processing by
converting scanned documents, PDFs, and images captured by cameras into editable and …

A comprehensive systematic review on machine learning application in the 5G-RAN architecture: Issues, challenges, and future directions

M Talal, S Gerfan, R Qays, D Pamucar, D Delen… - Journal of Network and …, 2024 - Elsevier
Abstract The fifth-generation (5G) network is considered a game-changing technology that
promises advanced connectivity for businesses and growth opportunities. To gain a …

Efficient Bank Fraud Detection with Machine Learning

R Zhang, Y Cheng, L Wang, N Sang… - Journal of Computational …, 2023 - ojs.sgsci.org
The rapid expansion of IT technology has led to a significant increase in financial
transactions, accompanied by a corresponding rise in fraudulent activities. This paper …

Enterprise Digital Intelligent Remote Control System Based on Industrial Internet of Things

B Wu, C Shi, W Jiang, K Qian - 2024 - adwenpub.com
Based on the background of Industrial Internet of Things, this paper aims to explore the
application of remote monitoring and maintenance technology in IT enterprise automation …

Green supply chain management optimization based on chemical industrial clusters

L Jihu - arxiv preprint arxiv:2406.00478, 2024 - arxiv.org
Post-pandemic, the chemical sector faces new challenges crucial to national progress, with
a pressing need for rapid transformation and upgrading. The pandemic's impact and …

Distributed data parallel acceleration-based generative adversarial network for fingerprint generation

S **ong, H Zhang, M Wang, N Zhou - Innovations in Applied …, 2022 - ojs.sgsci.org
In the expanding landscape of artificial intelligence, scaling model training to accommodate
larger and more intricate neural networks and datasets is imperative. This study addresses …

Machine Learning-based Fault Prediction and Diagnosis of Brushless Motors

X Chen, M Wang, H Zhang - Engineering Advances, 2024 - hillpublisher.com
This paper presents a machine learning-based approach for predicting and diagnosing
faults in brushless motors. By utilizing extensive sensor data and employing algorithms such …

CASE: A joint traffic and energy optimization framework toward grid connected green future networks

A Balakrishnan, S De, LC Wang - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Renewable power provisioning of the base stations (BS) in addition to the traditional power
grid connectivity presents an interesting prospect towards realizing green future network …