过去一年中添加的文章，按日期排序
… the influence of streetscape environmental characteristics on pedestrian crashes at intersections using street view images and explainable machine learning
H Yue - Accident Analysis & Prevention, 2024 - Elsevier
4 天前 - … land use are significant contributors to pedestrian–vehicle collisions at intersections,
while road, person, and vehicle … On the other hand, machine learning approaches have …
while road, person, and vehicle … On the other hand, machine learning approaches have …
MAHTD-DDPG-Based Multi-Objective Resource Allocation for UAV-Assisted Wireless Network
W Sun, Z Li, J Shi, Z Bai, F Wang… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
4 天前 - … wireless networks: A machine learning approach,” IEEE … Hanzo, “Multiagent deep
reinforcement learning-based trajectory … flight vehicle using evolution strategy enhanced deep …
reinforcement learning-based trajectory … flight vehicle using evolution strategy enhanced deep …
Joint Optimization of Multi-UAV Deployment and User Association Via Deep Reinforcement Learning for Long-Term Communication Coverage
X Cheng, R Jiang, H Sang, G Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
4 天前 - … Abstract: The flexible deployment and strong adaptability of unmanned aerial vehicles
(… a novel approach called long-term communication coverage for ground users through …
(… a novel approach called long-term communication coverage for ground users through …
[HTML][HTML] An Efficient Approach to Detect and Segment Underwater Images using Swin Transformer
S Pavithra - Results in Engineering, 2024 - Elsevier
11 天前 - … class objects in the given ground truth image. In this new … , Auto Encoders, UNet),
the hybrid approach outperformed … imaging and advanced machine learning algorithms. …
the hybrid approach outperformed … imaging and advanced machine learning algorithms. …
MAPPING PUBLIC SPACE MICRO-OCCUPATIONS: Drone-Driven Predictions of Spatial Behaviors in Carapungo, Quito
V Cano-Ciborro, A Medina… - … and Planning B …, 2024 - journals.sagepub.com
15 天前 - … Artificial Intelligence and Machine Learning, combined with … human shapes while
excluding vehicles. Tracking humans … We chose an unsupervised learning method based on …
excluding vehicles. Tracking humans … We chose an unsupervised learning method based on …
Dual contrast discriminator with sharing attention for video anomaly detection
Y Zeng, Y Chen, S Yu, M Yang, R Chen… - Machine Vision and …, 2024 - Springer
16 天前 - … and attention processes into the Auto-encoder (AE) … the development of deep
learning theories and methods in … The high correlation between scores and ground-truth in …
learning theories and methods in … The high correlation between scores and ground-truth in …
Railway Intrusion Detection Based on Machine Vision: A Survey, Challenges, and Perspectives
Z Cao, Y Qin, L Jia, Z Xie, Y Gao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
16 天前 - … based on machine vision, covering ground monitoring, on-… Deep learning is an
emerging machine learning method … method based on deep generative networks and auto-…
emerging machine learning method … method based on deep generative networks and auto-…
Priority-Based Load Balancing With Multi-Agent Deep Reinforcement Learning for Space-Air-Ground Integrated Network Slicing
H Tu, P Bellavista, L Zhao, G Zheng… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
17 天前 - Space-air-ground integrated network (SAGIN) slicing has been studied for
supporting diverse applications, which consists of the terrestrial layer (TL) deployed with base …
supporting diverse applications, which consists of the terrestrial layer (TL) deployed with base …
Monitoring urban construction and quarry blasts with low-cost seismic sensors and deep learning tools in the city of Oslo, Norway
18 天前 - … an outlier detection method using auto-encoders trained … blasts by means of machine
learning methods. We are able … and the blast classifier, we would need complete ground-…
learning methods. We are able … and the blast classifier, we would need complete ground-…
Biomass Estimation of Milk Vetch Using UAV Hyperspectral Imagery and Machine Learning
H Hu, H Zhou, K Cao, W Lou, G Zhang, Q Gu, J Wang - Remote Sensing, 2024 - mdpi.com
19 天前 - … vehicle (UAV)-based hyperspectral imagery and machine … using UAVs and machine
learning methods was conducted, … might have the potential to improve soil fertility, this study …
learning methods was conducted, … might have the potential to improve soil fertility, this study …
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