Results 251 to 260 of about 302,063 (326)

STS-AT: A Structured Tensor Flow Adversarial Training Framework for Robust Intrusion Detection. [PDF]

Sensors (Basel)
Zhu J, Chen Z, Cong R, Sun H, Dong Y.
europepmc   +1 more source

Mucosal‐Associated Invariant T Cells in Rheumatic Diseases

Arthritis &Rheumatology, EarlyView.
Mucosal‐associated invariant T (MAIT) cells are innate‐like T cells defined by their semi‐invariant T cell receptor and restriction by the major histocompatibility complex class I–related molecule (MR1). These cells are primarily activated by microbial‐derived metabolites presented by MR1 or by cytokines.
Manon Lesturgie‐Talarek, Virginie Gonzalez, Lucie Beaudoin, Noémie Sénot, Corinne Miceli‐Richard, Yannick Allanore, Agnès Lehuen, Jerôme Avouac   +7 more
wiley   +1 more source

The Bangladesh road traffic sign dataset in real-world images for traffic sign recognition. [PDF]

Data Brief
Islam MA, Farid DM.
europepmc   +1 more source

CSW-YOLO: A traffic sign small target detection algorithm based on YOLOv8. [PDF]

PLoS One
Shen Q, Li Y, Zhang Y, Zhang L, Liu S, Wu J.   +5 more
europepmc   +1 more source

Cascade drive: a unified deep learning framework for multi-featured detection and control in autonomous electric vehicles on unstructured roadways. [PDF]

Sci Rep
Raju KK, Bhagavath BP, Nallakaruppan MK, Dhanaraj RK, Othman SB, Ali O.   +5 more
europepmc   +1 more source

Effects of intersection control types on driver yielding behavior to cyclists using mixed logit modeling. [PDF]

Sci Rep
Abushattal M, Alhomaidat F, El-Yabroudi M.   +2 more
europepmc   +1 more source

Small traffic sign recognition method based on improved YOLOv7. [PDF]

Sci Rep
Meng B, Shi W.
europepmc   +1 more source

Optimized CatBoost machine learning (OCML) for DDoS detection in cloud virtual machines with time-series and adversarial robustness. [PDF]

Sci Rep
Samy H, Bahaa-Eldin AM, Sobh MA, Taha A.
europepmc   +1 more source

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DETR for traffic sign detection

Physica Scripta
Abstract Traffic sign detection refers to accurately perceiving and locating traffic signs in driving scenes, which is crucial for safe autonomous driving. However, existing detection models perform poorly in detecting small objects due to the inherently small size of traffic signs.
Shuming Cui, Hongwei Deng
openaire   +2 more sources

Web-Based Traffic-Sign Detection

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
Detecting traffic signs on images has many applications within the transportation area, e.g., speed limit detection, navigation, asset management, and autonomous vehicles. A significant challenge in detecting traffic signs is that a large set of labeled images are needed to train, test, and validate an object detector.
Pedersen, Kasper Fromm; id_orcid 0009-0005-9067-9807, Torp, Kristian   +1 more
openaire   +3 more sources