Results 1 to 10 of about 17 (12)

RSDNet: A New Multiscale Rail Surface Defect Detection Model [PDF]

Sensors
The rapid and accurate identification of rail surface defects is critical to the maintenance and operational safety of the rail. For the problems of large-scale differences in rail surface defects and many small-scale defects, this paper proposes a rail ...
Jingyi Du, Ruibo Zhang, Rui Gao, Lei Nan, Yifan Bao   +4 more
doaj   +3 more sources

Rail Surface Defect Detection Based on An Improved YOLOv5s

Applied Sciences, 2023
As the operational time of the railway increases, rail surfaces undergo irreversible defects. Once the defects occur, it is easy for them to develop rapidly, which seriously threatens the safe operation of trains.
Hui Luo, Lianming Cai, Chenbiao Li
doaj   +2 more sources

Design of Safe and Efficient Adenine Base Editors via Protein Language Model Screening for Osteoarthritis Treatment. [PDF]

Adv Sci (Weinh)
ABSTRACT Base editors enable precise genome modification and have emerged as a promising therapeutic approach for correcting diseases caused by single‐nucleotide variants. While the current efficient version of adenine base editors (ABEs), such as ABE8e, exhibits exceptional efficiency for A‐to‐G conversions, their clinical translation is hindered by ...
Yao J, Chen D, Zhang Z, Ren J, Zhao C, Wang S, Shang M, Jiang D, Li Y, Tang S, Li K, Zhang X, Wang X.   +12 more
europepmc   +2 more sources

An Intelligent Obstacle Detection Method for Rail Transit Scenarios [PDF]

Sensors
Traditional signal equipment is incapable of real-time monitoring of foreign objects intruding into track zones. To effectively ensure the operational safety of trains, this paper presents an intelligent obstacle detection approach of visual sensing for ...
Zhao Sheng, Tianyang Liu, Wei Shangguan, Yijing Wang, Yige Wang, Zhiyu He   +5 more
doaj   +2 more sources

Center-Guided Dynamic Convolutional Network for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In hyperspectral image classification, effectively modeling the relationship between a target pixel and its surrounding context remains challenging. While Transformer-based approaches achieve promising results through self-attention mechanisms, their ...
Zhibin Zhang, Huan Liu, Wei Li, Zhiyang Zheng, Wenyu Qu   +4 more
doaj   +1 more source

A Systematic Study of Joint Representation Learning on Protein Sequences and Structures

, 2023
Learning effective protein representations is critical in a variety of tasks in biology such as predicting protein functions. Recent sequence representation learning methods based on Protein Language Models (PLMs) excel in sequence-based tasks, but their
Chenthamarakshan, Vijil, Xu, Minghao, Wang, Chuanrui, Tang, Jian, Zhang, Zuobai, Lozano, Aurélie, Das, Payel   +6 more
core  

ProteinF3S: boosting enzyme function prediction by fusing protein sequence, structure, and surface. [PDF]

Brief Bioinform
Yuan M, Shen A, Ma Y, Du J, An B, Wang M.   +5 more
europepmc   +1 more source

BridgeNet: a high-efficiency framework integrating sequence and structure for protein and enzyme function prediction. [PDF]

Brief Bioinform
Ye Y, Duan H, Mu Y, Wu L, Guo J.
europepmc   +1 more source

Molecular Motif Learning as a pretraining objective for molecular property prediction. [PDF]

Nat Commun
Liu Z, Wang C, Zheng S, Wu C, Feng H, Xu L, Zheng Y, Rong L, Li P.   +8 more
europepmc   +1 more source

Autoregressive enzyme function prediction with multi-scale multi-modality fusion. [PDF]

Brief Bioinform
Rong D, Zhong B, Zheng W, Hong L, Liu N.
europepmc   +1 more source