Results 151 to 160 of about 2,282,128 (375)

Prevention of railway accidents [PDF]

Journal of the Franklin Institute
n ...
openaire   +3 more sources

Multi-Modal Traffic Analysis: Integrating Time-Series Forecasting, Accident Prediction, and Image Classification [PDF]

arXiv
This study proposes an integrated machine learning framework for advanced traffic analysis, combining time-series forecasting, classification, and computer vision techniques. The system utilizes an ARIMA(2,0,1) model for traffic prediction (MAE: 2.1), an XGBoost classifier for accident severity classification (100% accuracy on balanced data), and a ...
arxiv  

Cooperative Merging in Mixed Traffic Based on Strategic Influence of Connected Automated Vehicles on Human‐Driven Vehicle Behavior

Advanced Intelligent Systems, EarlyView.
This study proposes an optimization‐based cooperative merging strategy for connected and automated vehicles (CAVs) in mixed traffic. By leveraging the strategic influence of CAVs on human‐driven vehicles (HDVs), the method reduces uncertainties in HDV behavior and improves traffic flow, achieving up to 31% reduction in average travel time delay ...
Kyunghwan Choi, Seongjae Shin, Minseok Seo   +2 more
wiley   +1 more source

Prevention of Intraoperative Anesthesia Accidents and Related Severe Injury through Safety Monitoring [PDF]

, 1989
John H. Eichhorn
openalex   +1 more source

Fairness in Federated Learning: Trends, Challenges, and Opportunities

Advanced Intelligent Systems, EarlyView.
This survey delves into the intricate issues pertinent to fairness in federated learning , where various biasing factors can skew model performance. By systematically analyzing fairness‐aware strategies, evaluation metrics, and future directions, this work identifies pivotal research gaps in existing approaches and sheds light on both challenges and ...
Noorain Mukhtiar, Adnan Mahmood, Quan Z. Sheng   +2 more
wiley   +1 more source

The Child Accident Prevention Trust. [PDF]

, 1983
R H Jackson, Jonathan M. Gaffin
openalex   +1 more source

Deep Learning Based Large‐Area Contact Sensing for Safe Human–Robot Interaction Using Conformal Kirigami Structure‐Enabled Robotic E‐Skin

Advanced Intelligent Systems, EarlyView.
This work presents a collision detection technique for robots, using piezoelectric sensors and deep learning to identify collision locations and intensities. A large area conformal kirigami design enables cost‐effective sensor deployment on complex surfaces.
Rui Jiao, Zhengjun Wang, Ruoqin Wang, Qian Xu, Jiacheng Jiang, Boyang Zhang, Simin Yang, Yang Li, Yik Kin Cheung, Fan Shi, Hongyu Yu   +10 more
wiley   +1 more source

On railway accidents—their causes and means of prevention; showing the bearing which existing legislation has upon them [PDF]

Mr.James Brunlees
openalex   +1 more source

The work of the Child Accident Prevention Trust. [PDF]

, 1988
R H Jackson, Sally‐Ann Cooper, Mike Hayes   +2 more
openalex   +1 more source

Deep Learning–Powered Robust Tactile Perception: Bridging Graphene Electronic Skin and Dynamic Decoding

Advanced Intelligent Systems, EarlyView.
This article presents a developed methodology to achieve robust tactile perception with spatially designed electronic skin (e‐skin) utilizing laser‐induced graphene (LIG). To enhance LIG‐based e‐skin, the fabrication of the e‐skin is simplified and advanced decoding algorithms are employed, effectively circumventing several intrinsic issues of ...
Gyeonghwa Heo, Jusouk Yoon, Jeonghwa Jeong, Young Woo Kwon, Suck Won Hong   +4 more
wiley   +1 more source