Results 131 to 140 of about 264,006 (281)
Towards Enhancing Traffic Sign Recognition through Sliding Windows. [PDF]
Atif M, Zoppi T, Gharib M, Bondavalli A.
europepmc +1 more source
Aberrant SUMOylation Restricts the Targetable Cancer Immunopeptidome
Pharmacological SUMOylation inhibition (SUMOi) counteracts tumor immune evasion by unmasking an immunogenic HLA‐I peptide and neoepitope repertoire. By restoring HLA‐I ligand availability through increased antigen processing and presentation, enhanced proteasomal cleavage, and modulated TAP1 peptide affinity, SUMOi boosts tumor immunogenicity ...
Uta M. Demel +19 more
wiley +1 more source
NTS-YOLO: A Nocturnal Traffic Sign Detection Method Based on Improved YOLOv5
Accurate traffic sign recognition is one of the core technologies of intelligent driving systems, which face multiple challenges such as insufficient light and shadow interference at night. In this paper, we improve the YOLOv5 model for small, fuzzy, and
Yong He +6 more
doaj +1 more source
A Hierarchical Approach for Traffic Sign Recognition Based on Shape Detection and Image Classification. [PDF]
Lu EH +3 more
europepmc +1 more source
PBRM1 ranks as the second most commonly mutated gene in ccRCC. This study reveals that PBRM1 loss promotes an immunosuppressive microenvironment by elevating M2 TAMs via the KDM5C–IL‐6 axis. These M2 TAMs, along with CAFs, form a barrier that excludes CD8+ T cells. Targeting IL‐6 synergizes with anti‐PD1 therapy, offering a promising strategy for PBRM1‐
Wenjiao Xia +14 more
wiley +1 more source
A New Traffic Sign Recognition Technique Taking Shuffled Frog-Leaping Algorithm into Account. [PDF]
Demokri Dizji P, Joudaki S, Kolivand H.
europepmc +1 more source
Multiomic profiling of HER2‐low breast cancer identifies three proteomic subtypes with distinct therapeutic strategies: endocrine, antiangiogenic, and anti‐HER2 therapies. Genomic and lactate modification landscapes are detailed, providing insights for precise management.
Shouping Xu +20 more
wiley +1 more source
Optimized YOLOv7 for traffic sign recognition
Traffic sign recognition plays a critical role in the development of autonomous driving systems and intelligent transportation networks. However, detecting small traffic signs in real-world scenarios, particularly those captured from vehicle-mounted ...
Lin Kaisi, Zhang Lu
doaj +1 more source
Simulated Attacks and Defenses Using Traffic Sign Recognition Machine Learning Models
Physically simulated attack experiments were conducted using LED lights of different colors, the You Look Only Once (YOLO) v5 model, and the German Traffic Sign Recognition Benchmark (GTSRB) dataset.
Chu-Hsing Lin +2 more
doaj +1 more source
Traffic Sign Recognition Evaluation for Senior Adults Using EEG Signals. [PDF]
Koh DW, Kwon JK, Lee SG.
europepmc +1 more source

