A Big Data Stream-Driven Risk Recognition Approach for Hospital Accounting Management Systems

Y Wang, B Liang, T Wang, Z Liu - IEEE Access, 2023 - ieeexplore.ieee.org
This work is confronted with hospital accounting management systems where business
volume is usually large and trivial. While designing system prototype and processing …

[HTML][HTML] Deep learning-based intelligent precise aeration strategy for factory recirculating aquaculture systems

J Yang, Y Zhou, Z Guo, Y Zhou, Y Shen - Artificial Intelligence in Agriculture, 2024 - Elsevier
Factory recirculating aquaculture system (RAS) is facing in a stage of continuous research
and technological innovation. Intelligent aquaculture is an important direction for the future …

A Spatiotemporal Deep Learning-based Multisource Data Analytics Framework for Basketball Game

H Lin, M Bao, C Kang - IEEE Access, 2024 - ieeexplore.ieee.org
Data analytics has been an important business demand for basketball game.
Conventionally, it was implemented with use of statistical approaches, yet neglecting the …

A Graph Deep Learning-based Fast Traffic Flow Prediction Method in Urban Road Networks

D Yang, L Lv - IEEE Access, 2023 - ieeexplore.ieee.org
In modern smart cities, road networks are becoming more and more complicated, resulting
in more complex format of graphs. This brings many challenges to the forecasting of traffic …

Energy‐efficient computation offloading and resource allocation in delay‐constrained vehicular edge network

J Yang, F Lin, DK Saini, Y Zhu, Y Li… - International Journal of …, 2022 - Wiley Online Library
Cellular vehicular‐to‐everything (C‐V2X), as a key technology of Internet of Vehicles (IoV),
is promised to be enhanced and strengthened to improve road traffic safety and achieve …

Deep Learning-based Key Indicator Estimation in Rivers by Leveraging Remote Sensing Image Analysis

Q Gao, D Liu, W Zhang, Y Liu - IEEE Access, 2024 - ieeexplore.ieee.org
Estimation of key indicators in rivers was usually conducted with use of monitoring data of
Internet of Things. Currently, it has been a more practical demand to extract key indexes in …

Design of an Optimal Scheduling Control System for Smart Manufacturing Processes in Tobacco Industry

X Liu, J Li, H Wang, W Jia, J Yang, Z Guo - IEEE Access, 2023 - ieeexplore.ieee.org
The whole process of tobacco production is composed of many components, in which their
operation and administration are currently independent. It is required to deploy smart …

[PDF][PDF] Stochastic Models to Mitigate Sparse Sensor Attacks in Continuous-Time Non-Linear Cyber-Physical Systems.

BB Sánchez, R Alcarria, T Robles - Computers, Materials & …, 2023 - cdn.techscience.cn
ABSTRACT Cyber-Physical Systems are very vulnerable to sparse sensor attacks. But
current protection mechanisms employ linear and deterministic models which cannot detect …

Environmental Evaluation and Regulation Method of Ancient Buildings Based on Wireless Rechargeable Sensor Network

Z Mao, K Ma, Y Li, C Kuang, Y Tang, S Zhu… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Ancient buildings are precious historical and cultural heritage. Environmental evaluation
and regulation can effectively protect ancient buildings. In view of this, a health monitoring …

A Context-Aware Image Generation Method for Assisted Design of Movie Posters Using Generative Adversarial Network

Y Lu, R Hou, J Zheng - Journal of Circuits, Systems and Computers, 2023 - World Scientific
Considering the continuous development of the film industry and the improvement of the
living standard among people, movies have gradually come to the civilians. A good movie …