High-Precision Dynamic Traffic Noise Mapping Based on Road Surveillance Video
ISPRS International Journal of Geo-Information, 2022 High-precision dynamic traffic noise maps can describe the spatial and temporal distributions of noise and are necessary for actual noise prevention. Existing monitoring point-based methods suffer from limited spatial adaptability, and prediction model ...
Yanjie Sun
exaly +4 more sources
Semantic SLAM With More Accurate Point Cloud Map in Dynamic Environments
IEEE Access, 2020 Static environment is a prerequisite for most existing vision-based SLAM (simultaneous localization and mapping) systems to work properly, which greatly limits the use of SLAM in real-world environments.
Yingchun Fan, Qichi Zhang, Shaofeng Liu
exaly +3 more sources
MSFN-YOLOv11: A Novel Multi-Scale Feature Fusion Recognition Model Based on Improved YOLOv11 for Real-Time Monitoring of Birds in Wetland Ecosystems. [PDF]
Animals (Basel)Intelligent bird species recognition is vital for biodiversity monitoring and ecological conservation. This study tackles the challenge of declining recognition accuracy caused by occlusions and imaging noise in complex natural environments.
Wang L, Ye L, Chen X, Chu N.
europepmc +2 more sources
AMSRDet: An Adaptive Multi-Scale UAV Infrared-Visible Remote Sensing Vehicle Detection Network. [PDF]
Sensors (Basel)Unmanned Aerial Vehicle (UAV) platforms enable flexible and cost-effective vehicle detection for intelligent transportation systems, yet small-scale vehicles in complex aerial scenes pose substantial challenges from extreme scale variations ...
Yan Z, Li Y.
europepmc +2 more sources
Policy and societal relevance of traffic noise models in urban zones [PDF]
International Journal of Human Capital in Urban Management, 2022 BACKGROUND AND OBJECTIVES: Road traffic noise is a matter of challenge for both people and policymakers. For instance, the price of lands/houses which are close to road traffic noise is reduced.
S.S. Ahmadi Dehrashid +2 more
doaj +1 more source
Power System Transient Stability Assessment Using Convolutional Neural Network and Saliency Map
Energies, 2023 This study proposes a model for transient stability assessment, which is a convolutional neural network model combined with a saliency map (S–CNN model).
Heungseok Lee +3 more
doaj +1 more source
Slow noise in the period of a biological oscillator underlies gradual trends and abrupt transitions in phasic relationships in hybrid neural networks. [PDF]
PLoS Computational Biology, 2014 In order to study the ability of coupled neural oscillators to synchronize in the presence of intrinsic as opposed to synaptic noise, we constructed hybrid circuits consisting of one biological and one computational model neuron with reciprocal synaptic ...
Umeshkanta S Thounaojam +4 more
doaj +1 more source
Image Degradation Model for Dynamic Star Maps in Multiple Scenarios
Photonics, 2022 To meet the ground test requirements of star sensors, we establish the star map simulation algorithm and the interactive interface in multiple scenarios.
Haima Yang +8 more
doaj +1 more source
A Multi-Stage Method for Connecting Participatory Sensing and Noise Simulations
Sensors, 2015 Most simulation-based noise maps are important for official noise assessment but lack local noise characteristics. The main reasons for this lack of information are that official noise simulations only provide information about expected noise levels ...
Mingyuan Hu +4 more
doaj +1 more source
Optimization on Nonlinear Dynamics of Gear Rattle in Automotive Transmission System
Shock and Vibration, 2019 Recently, gear rattle noise is gradually becoming a nonignorable issue involving comfortableness in automotive transmission for a car. Generally, the rattle noise is influenced by nonlinear dynamic of multiple pairs of idler gears in the multistage gear ...
Mingxuan Liang, Ying Wang, Tian Zhao
doaj +1 more source