Results 201 to 210 of about 6,853 (246)

A Review of Grain Boundaries: Formation Mechanism, Synthesis Strategy, and Application in Electrocatalysis

EcoEnergy, EarlyView.
An overview of grain boundary engineering in the field of electrocatalysis. ABSTRACT Key electrocatalytic reactions such as HER, OER, ORR, CO2RR, and NRR offer promising routes for storing renewable energy as chemical fuels. However, their widespread application is constrained due to the lack of highly active and stable catalysts. Grain boundaries (GBs)
Jingyu Gao, Fengming Zhou, Xinying Li, Ying Deng, Zexing Wu, Siyuan Feng, Yujing Zhu, Dan Zhang, Zhenyu Xiao   +8 more
wiley   +1 more source

TU-DAT: A Computer Vision Dataset on Road Traffic Anomalies. [PDF]

Sensors (Basel)
Pradeep Kumar P, Kant K.
europepmc   +1 more source

A Fusion Algorithm for Pedestrian Anomaly Detection and Tracking on Urban Roads Based on Multi-Module Collaboration and Cross-Frame Matching Optimization. [PDF]

Sensors (Basel)
Zhao W, Gong X, Li L, Zuo L.
europepmc   +1 more source

WSVAD-CLIP: Temporally Aware and Prompt Learning with CLIP for Weakly Supervised Video Anomaly Detection. [PDF]

J Imaging
Li M, Sang J, Lu Y, Du L.
europepmc   +1 more source

A Likelihood Ratio-Based Approach to Segmenting Unknown Objects. [PDF]

Int J Comput Vis
Nayal N, Shoeb Y, Güney F.
europepmc   +1 more source

A hybrid GAN-SegFormer-YOLOv9 framework with fuzzy logic for pothole detection and severity classification. [PDF]

Sci Rep
Kothai R, Prabakaran N.
europepmc   +1 more source

Reservoir-enhanced segment anything model for subsurface diagnosis. [PDF]

Nat Commun
Zhou X, Liu S, Yan X, Fan Y, Wang X, Kang Y, Cheng J, Chen H.   +7 more
europepmc   +1 more source

A Comprehensive Review of Anomaly Detection in Road Traffic Analysis

International Journal of Computing and Digital Systems
Gopi Krishnan, Anburaj Anandan, Kaveripakam Thayagarajan, Gorikapudi Sateesh, Mohandu Anjaneyulu   +4 more
openaire   +1 more source

Using DINOv2 for Road Damage Anomaly Detection

openaire   +2 more sources

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Anomaly Detection for Road Traffic: A Visual Analytics Framework

IEEE Transactions on Intelligent Transportation Systems, 2017
The analysis of large amounts of multidimensional road traffic data for anomaly detection is a complex task. Visual analytics can bridge the gap between computational and human approaches to detecting anomalous behavior in road traffic, making the data analysis process more transparent.
Maria Riveiro
exaly   +2 more sources