Sensing technologies for crowd management, adaptation, and information dissemination in public transportation systems: A review
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 …
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
Energy and spectral efficiency of Internet of Things (IoT) networks can be improved by
integrating energy harvesting (EH), cognitive radio, and nonorthogonal multiple access …
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 …
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 …
surveys, significantly contributing to the improved accuracy of forest inventories. However …
Physical Layer Cross-Technology Communication via Explainable Neural Networks
Cross-technology communication (CTC) facilitates seamless interaction between different
wireless technologies. Most existing methods use reverse engineering to derive the required …
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
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 …
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
Heterogeneous Internet of Things (IoT) networks, which operate using various protocols and
spectrum bands like WiFi, Bluetooth, Zigbee, and LoRa, bring many opportunities to …
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
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 …
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 …
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 …
wildfire-ecosystem components. The Chongli District, located in Zhangjiakou City, was the …