Sensing technologies for crowd management, adaptation, and information dissemination in public transportation systems: A review

D Darsena, G Gelli, I Iudice, F Verde - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Management of crowd information in public transportation (PT) systems is crucial, both to
foster sustainable mobility, by increasing the user's comfort and satisfaction during normal …

IoT-inspired cooperative spectrum sharing with energy harvesting in UAV-assisted NOMA networks: Deep learning assessment

R Kumar, CK Singh, PK Upadhyay… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Energy and spectral efficiency of Internet of Things (IoT) networks can be improved by
integrating energy harvesting (EH), cognitive radio, and nonorthogonal multiple access …

Time Series Forest Fire Prediction Based on Improved Transformer

X Miao, J Li, Y Mu, C He, Y Ma, J Chen, W Wei, D Gao - Forests, 2023 - mdpi.com
Forest fires, severe natural disasters causing substantial damage, necessitate accurate
predictive modeling to guide preventative measures effectively. This study introduces an …

Simulation on different patterns of mobile laser scanning with extended application on solar beam illumination for forest plot

K Jiang, L Chen, X Wang, F An, H Zhang, T Yun - Forests, 2022 - mdpi.com
Light detection and ranging (LiDAR) technology has become a mainstream tool for forest
surveys, significantly contributing to the improved accuracy of forest inventories. However …

Physical Layer Cross-Technology Communication via Explainable Neural Networks

H Wang, J Wang, W Jiang, S Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Cross-technology communication (CTC) facilitates seamless interaction between different
wireless technologies. Most existing methods use reverse engineering to derive the required …

Optimizing systemic redundancy of traffic sensor networks while maintaining resilience: New evidence from using graph learning

J Tang, S Wei, D Li, X Li - IEEE Systems Journal, 2023 - ieeexplore.ieee.org
The optimization of systemic redundancy by minimizing the sensor quantity can improve the
efficiency of sensor networks and save costs. However, from the perspective of risk …

Cross-Technology Federated Matching for Age of Information Minimization in Heterogeneous IoT

HH Esmat, X **a, Y Wu, B Lorenzo… - IEEE/ACM Transactions …, 2024 - ieeexplore.ieee.org
Heterogeneous Internet of Things (IoT) networks, which operate using various protocols and
spectrum bands like WiFi, Bluetooth, Zigbee, and LoRa, bring many opportunities to …

Hybrid services qos enhancement by joint traffic and access management in unsaturated IEEE 802.11 ax network

J Bai, X Wang, J Mei, Y **n… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the ubiquitous proliferation of Internet of Thing (IoT) devices, Access Points (APs) of
future Wi-Fi networks are expected to support more Stations (STAs) with increased traffic …

Superpixel-Based Graph Convolutional Network for UAV Forest Fire Image Segmentation

Y Mu, L Ou, W Chen, T Liu, D Gao - Drones, 2024 - mdpi.com
Given the escalating frequency and severity of global forest fires, it is imperative to develop
advanced detection and segmentation technologies to mitigate their impact. To address the …

Vegetation Classification and a Biomass Inversion Model for Wildfires in Chongli Based on Remote Sensing Data

F Xu, W Chen, R **e, Y Wu, D Jiang - Fire, 2024 - mdpi.com
Vegetation classification, biomass assessment, and wildfire dynamics are interconnected
wildfire-ecosystem components. The Chongli District, located in Zhangjiakou City, was the …