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State-of-the-art load balancing algorithms for mist-fog-cloud assisted paradigm: a review and future directions
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 …
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
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 …
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
Optical Character Recognition (OCR) has revolutionized document processing by
converting scanned documents, PDFs, and images captured by cameras into editable and …
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
Abstract The fifth-generation (5G) network is considered a game-changing technology that
promises advanced connectivity for businesses and growth opportunities. To gain a …
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 …
transactions, accompanied by a corresponding rise in fraudulent activities. This paper …
Enterprise Digital Intelligent Remote Control System Based on Industrial Internet of Things
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 …
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 …
a pressing need for rapid transformation and upgrading. The pandemic's impact and …
Distributed data parallel acceleration-based generative adversarial network for fingerprint generation
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 …
larger and more intricate neural networks and datasets is imperative. This study addresses …
Machine Learning-based Fault Prediction and Diagnosis of Brushless Motors
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 …
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
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 …
grid connectivity presents an interesting prospect towards realizing green future network …