A Deep Learning-Based Data Management Scheme for Intelligent Control of Wastewater Treatment Processes Under Resource-Constrained IoT Systems
Y Shen, X Zhu, Z Guo, K Yu, O Alfarraj… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Effective data management schemes have always been the major demand in universal
industrial Internet of Things (IoT) systems, especially in resource-constrained scenarios. In …
industrial Internet of Things (IoT) systems, especially in resource-constrained scenarios. In …
An indoor blind area-oriented autonomous robotic path planning approach using deep reinforcement learning
Y Zhou, J Yang, Z Guo, Y Shen, K Yu… - Expert Systems with …, 2024 - Elsevier
Deep reinforcement learning (DRL) provides a new solution for autonomous robotic path
planning in a known indoor environment. Previous studies mainly focused on robot path …
planning in a known indoor environment. Previous studies mainly focused on robot path …
A Vehicle-Road Urban Sensing Framework for Collaborative Content Delivery in Freeway-Oriented Vehicular Networks
X Zhu, Q Hua, W Yan, Z Guo, K Yu - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
The urban sensing provides a fundamental computing environment for smart cities, in which
ubiquitous vehicular networks are an important component. Due to the limitation of urban …
ubiquitous vehicular networks are an important component. Due to the limitation of urban …
Visual Data and Pattern Analysis for Smart Education: A Robust DRL-Based Early Warning System for Student Performance Prediction
W Bagunaid, N Chilamkurti, AS Shahraki… - Future Internet, 2024 - mdpi.com
Artificial Intelligence (AI) and Deep Reinforcement Learning (DRL) have revolutionised e-
learning by creating personalised, adaptive, and secure environments. However, challenges …
learning by creating personalised, adaptive, and secure environments. However, challenges …
[HTML][HTML] Advancing 6G IoT networks: Willow Catkin packet transmission scheduling with AI and Bayesian game-theoretic approach-based resource allocation.
AMA Ibrahim, Z Chen, HA Eljailany, G Yu, AA Ipaye… - Internet of Things, 2024 - Elsevier
The rapid expansion of mobile broadband networks and the proliferation of Internet of
Things (IoT) applications have substantially increased data transmission and processing …
Things (IoT) applications have substantially increased data transmission and processing …
Joint Data Offloading and Energy-Efficient Secure MEC Resource Allocation Method for IoT Device Data in RAN Communication
Q He, J Li, X Zhu, A Jolfaei, Z Feng… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
As information technology rapidly advances, 5G technology, Radio Access Networks (RAN),
and the Internet of Things (IoT) have emerged as the core elements of next-generation …
and the Internet of Things (IoT) have emerged as the core elements of next-generation …
[PDF][PDF] A KD-tree and random sample consensus-based 3D reconstruction model for 2D sports stadium images
X Li - Mathematical Biosciences and Engineering, 2023 - aimspress.com
The application of 3D reconstruction technology in building images has been a novel
research direction. In such scenes, the reconstruction with proper building details remains …
research direction. In such scenes, the reconstruction with proper building details remains …
[HTML][HTML] Delay and cost-balanced communication resource management for IoT-empowered distribution grid energy dispatch
Z Shi - Frontiers in Energy Research, 2024 - frontiersin.org
The combination of internet of things (IoT), 5G, and power line communication (PLC)
provides real-time and low-cost data transmission services to meet the quality of service …
provides real-time and low-cost data transmission services to meet the quality of service …
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 …
Conventionally, it was implemented with use of statistical approaches, yet neglecting the …
Design and Optimization of An Intelligent Monitoring System for Overhead Lines Based on Common Information Model
Y Wang, P Sai - IEEE Access, 2024 - ieeexplore.ieee.org
Overhead lines act as the basic media for electricity transmission, and their stable operation
remains really important to the whole power systems. As a result, real-time monitoring …
remains really important to the whole power systems. As a result, real-time monitoring …