Results 31 to 40 of about 46,730 (255)
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang +12 more
wiley +1 more source
Analysis of traffic accident characteristics and recovery strategy of urban road network
Traffic accidents in urban road networks frequently result in significant congestion, further aggravating unsafe conditions. Exploring the congestion propagation from traffic accidents and proposing recovery strategies are crucial for improving urban ...
Yuzhou Duan, Zhipeng Lin, Yulong Wang
doaj +1 more source
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source
Road traffic facilities, traffic accidents, and poverty: Lesson learned from Indonesia
The development of road traffic facilities is progressing rapidly in both developed and developing countries. However, the number of deaths caused by road traffic accidents is still increasing and the families of the accident victims are trapped in ...
Iwan Hermawan +9 more
doaj +1 more source
This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang +8 more
wiley +1 more source
Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja +2 more
wiley +1 more source
Integrasi Sistem Data Kecelakaan Lalu Lintas Di Kabupaten Jember
The rapid development of technology can help people solve their problems faced every day. One of them is the problem in transportation sector related traffic accident data often occur in Jember. Many agencies and institutions that play a role, making the
Kuntoro Bayu Ajie +2 more
doaj +1 more source
Spatial and Temporal Distribution Analysis of Traffic Accidents Using GIS-Based Data in Harbin
Road traffic safety is a social issue of widespread concern. It is important for traffic managers to understand the distribution patterns of road traffic accidents.
Meina Wang +4 more
doaj +1 more source
Local and Global Spatial-Temporal Networks for Traffic Accident Risk Forecasting
Traffic accident forecasting is very important for urban public security, emergency treatment and construc-tion planning. However, the following problems still exist when forecasting traffic accident risk.
WANG Beibei, WAN Huaiyu, GUO Shengnan, LIN Youfang
doaj +1 more source
Abstract This study used photovoice methodology to explore Asian Americans' perspectives on the root causes and protective factors of firearm violence in their communities. Photovoice provided a participatory platform for community members to document lived experiences and identify priorities for change.
Tsu‐Yin Wu +4 more
wiley +1 more source

