Results 31 to 40 of about 215,999 (264)
Traffic Accident Risk Prediction of Tunnel Based on Multi-Source Heterogeneous Data Fusion
In order to improve the prediction accuracy, this paper proposes a traffic accident risk prediction method of tunnel based on multi-source heterogeneous data fusion.
Yong Wang +5 more
doaj +1 more source
To extract complicated road network from remote sensing images on urban scenes, this article presents a clustering point process (CPP) based network topology structure constrained road extraction algorithm.
You Wu, Quanhua Zhao, Zhaoyu Shen, Yu Li
doaj +1 more source
Topometric localization on a road network [PDF]
Current GPS-based devices have difficulty localizing in cases where the GPS signal is unavailable or insufficiently accurate. This paper presents an algorithm for localizing a vehicle on an arbitrary road network using vision, road curvature estimates, or a combination of both.
Danfei Xu +2 more
openaire +1 more source
Enteric Duplication Cyst Associated With Meckel’s Diverticulum: A Rare Cause of Acute Abdomen
We report a case of a 26-year-old type 1 diabetic woman presenting with acute lower abdominal pain, bloating, and vomiting. Initial examination revealed right lower quadrant tenderness and a suprapubic mass.
Kugendran Ponniah MD +4 more
doaj +1 more source
ABSTRACT Background Animal‐assisted activities (AAAs) with therapy dogs have shown positive effects on patient well‐being and quality of life in various areas of medicine, including pediatric oncology. However, research on this topic is limited. The aim of this study is to present the current status of AAA in pediatric oncology in Germany, Austria, and
Jan‐Marius Wedig +7 more
wiley +1 more source
Semi-Automatic Method of Extracting Road Networks from High-Resolution Remote-Sensing Images
Road network extraction plays a critical role in data updating, urban development, and decision support. To improve the efficiency of labeling road datasets and addressing the problems of traditional methods of manually extracting road networks from high-
Kaili Yang +5 more
doaj +1 more source
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source
Constrained Tracking on a Road Network [PDF]
Many applications of wireless ad hoc sensor and actuator networks (WSANs) rely on the knowledge of node locations. These are challenging to obtain when nodes are mobile and are not equipped with any specific positioning hardware. In this paper, we are interested in scenarios where there are constraints on the movement of nodes, such as with cars on a ...
Piorkowski, Michal +1 more
openaire +2 more sources
In-Path Oracles for Road Networks
Many spatial applications benefit from the fast answering to a seemingly simple spatial query: “Is a point of interest (POI) ‘in-path’ to the shortest path between a source and a destination?” In this context, an in-path POI is one that is either on the shortest path or can be reached within a bounded yet small detour from the shortest path.
Debajyoti Ghosh +3 more
openaire +2 more sources
Dynamic Assessment of Road Network Vulnerability Based on Cell Transmission Model
The road network maintaining stability is critical for guaranteeing urban traffic function. Therefore, the vulnerable links need to be identified accurately.
Yu Sun +3 more
doaj +1 more source

