Results 231 to 240 of about 264,006 (281)

Pro‐Inflammatory c‐Met+ CD4 T Cells in Multiple Sclerosis

Annals of Neurology, EarlyView.
Objective Hepatocyte growth factor (HGF) binds exclusively the c‐Met surface receptor, and the HGF/c‐Met axis regulates T cell function in autoimmune diseases. We analyzed c‐Met expression on human CD4 T cells in the blood and cerebrospinal fluid (CSF) from patients with multiple sclerosis (MS) versus non‐inflammatory neurological disease (NIND), to ...
Gautier Breville, Mahdia Benkhoucha, Ayman Rezk, Ngoc Lan Tran, Isis Senoner, Amit Bar‐Or, Patrice H. Lalive   +6 more
wiley   +1 more source

Attention based unified architecture for Arabic text detection on traffic panels to advance autonomous navigation in natural scenes. [PDF]

Sci Rep
Hassan BM, Gamel SA, Talaat FM.
europepmc   +1 more source

TSD-Net: A Traffic Sign Detection Network Addressing Insufficient Perception Resolution and Complex Background. [PDF]

Sensors (Basel)
Ma C, Liu C, Deng L, Xu P.
europepmc   +1 more source

DORIE: Dataset of Road Infrastructure Elements-A Benchmark of YOLO Architectures for Real-Time Patrol Vehicle Monitoring. [PDF]

Sensors (Basel)
Katsamenis I, Bakalos N, Lappas A, Protopapadakis E, Martín-Portugués Montoliu C, Doulamis A, Doulamis N, Rallis I, Kalogeras D.   +8 more
europepmc   +1 more source

TFP-YOLO: Obstacle and Traffic Sign Detection for Assisting Visually Impaired Pedestrians. [PDF]

Sensors (Basel)
Zheng Z, Cheng J, Jin F.
europepmc   +1 more source

Situational perception in distracted driving: an agentic multi-modal LLM framework. [PDF]

Front Artif Intell
Nazar AM, Selim MY, Gaffar A, Qiao D.
europepmc   +1 more source

Editorial: Advances in computer vision: from deep learning models to practical applications. [PDF]

Front Neurosci
Zhu H, Yao R, Tang L.
europepmc   +1 more source

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Recognition of traffic signs

2014 IEEE 8th International Conference on Application of Information and Communication Technologies (AICT), 2014
"Recognition of traffic signs" is a mobile application, which is used for recognition of traffic signs. The relevance of this theme is proved with the fact that we don't have analogs of this program, which will help the drivers to see and recognize traffic signs and enables drivers to remember signs by the way.
Sagandykova Aigerim, Zhakenov Askar, Zhaparov Meirambek, Amirgaliyev Yedilkhan   +3 more
openaire   +1 more source

Occluded Traffic Signs Recognition

2020
Traffic sign recognition is very important in the intelligent driving. It can remind drivers to react properly to the road condition and increase the driving safety. One of the challenges in recognizing traffic sign is occlusion. In this paper, we focus on this problem particularly in Taipei and the vicinity including Taipei and New Taipei City.
Shwu-Huey Yen, Chun-Yung Shu, Hui-Huang Hsu   +2 more
openaire   +1 more source

Morphological traffic sign recognitions

Proceedings of Third International Conference on Signal Processing (ICSP'96), 2002
The main attentions are focused on a binary machine vision problem, e.g., morphological traffic sign recognition. In order to recognize informational inner sign shapes of Korean traffic signs on roads, four quantitative similarity measures are developed, which are based on mathematical morphology and binary rank statistics.
null Gang Yi Jiang, null Tae Young Choi, null Yi Zheng   +2 more
openaire   +1 more source