Results 231 to 240 of about 164,752 (316)
A robotic stylet is proposed based on a multisegment continuum mechanism for specialized assisting endotracheal intubation. Its geometric parameters are designed based on medical images and kinematic is derived. A prototype is fabricated, and its kinematics and application are experimentally verified. These robotic systems can improve accurate, secure,
Jiangzhen Guo+8 more
wiley +1 more source
Examining trip-level errors in passively collected mobile device data for data quality assurance. [PDF]
Zhang P, Stewart K, Darzi A.
europepmc +1 more source
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+2 more
wiley +1 more source
Accurate V2X traffic prediction with deep learning architectures. [PDF]
Abdellah AR+5 more
europepmc +1 more source
Fairness in Federated Learning: Trends, Challenges, and Opportunities
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+2 more
wiley +1 more source
Construction of a traffic flow prediction model based on neural ordinary differential equations and Spatiotemporal adaptive networks. [PDF]
Ma L, Wang Y, Lv X, Guo L.
europepmc +1 more source
Using cloud computing technology, a telerehabilitation application allows patients to perform exercises remotely. Sensor data from a textile‐based IoT glove is processed in the cloud and transmitted as exercise commands to an actuating T‐IoT glove worn by patients.
Kadir Ozlem+5 more
wiley +1 more source
Traffic flow prediction based on spatial-temporal multi factor fusion graph convolutional networks. [PDF]
Chen YT, Liu A, Li C, Li S, Yang X.
europepmc +1 more source
This paper presents a novel Multi‐Distance Spatial‐Temporal Graph Neural Network for detecting anomalies in blockchain transactions. The model combines multi‐distance graph convolutions with adaptive temporal modeling to capture complex patterns in anonymized cryptocurrency networks.
Shiyang Chen+4 more
wiley +1 more source