Results 231 to 240 of about 2,449,627 (313)

Bridging Knowledge Capability Gaps: Digital Technology Offsetting in Interfirm Knowledge Transfer

Journal of Management Studies, EarlyView.
Abstract In this digital age, the adoption of digital technology (DT) is changing traditional business processes. Against this backdrop, we try to answer the question of whether DT could effectively bridge any interfirm knowledge capability gaps. Though effective knowledge transfer is dependent on the sender's and the receiver's knowledge capabilities,
Antony Paulraj, Chandrasekararao Seepana, Murtaza Faruquee, Vaidyanathan Jayaraman   +3 more
wiley   +1 more source

Learning-Augmented MPC for Autonomous Vehicle Path Tracking via Ensemble Residual Dynamics Learning. [PDF]

Sensors (Basel)
Xiong L, Liu M, Xie Z, Leng B, Zhang Y.
europepmc   +1 more source

A Cooperative Merging Method for Mixed Traffic Based on Enhanced Graph Reinforcement Learning with Vehicle Collaboration Graphs. [PDF]

Sensors (Basel)
Guo H, Fu H, Xu D, Gu T, Qiao E, Ji B.
europepmc   +1 more source

PriorAug: Reliability-Aware Traffic Scenario Initialization Under Sensor-Perceived Structural and Interaction Priors. [PDF]

Sensors (Basel)
Yang K, Qu S.
europepmc   +1 more source

Trump's National Security Strategy and the Future of US–European Relations

JCMS: Journal of Common Market Studies, EarlyView.
Melvyn P. Leffler
wiley   +1 more source

An Optimal Vehicle-Scheduling Model for Signal-Free Intersections Considering Bus Priority in a Connected and Automated Vehicle Environment. [PDF]

Sensors (Basel)
Wang D, Jiang S, Zheng G, Shi X.
europepmc   +1 more source

Bibliometric and Visualization Analysis of Path Planning and Trajectory Tracking Research for Autonomous Vehicles from 2000 to 2025. [PDF]

Sensors (Basel)
Niu B, Dobretsov RY.
europepmc   +1 more source

A Driving-Preference-Aware Framework for Vehicle Lane Change Prediction. [PDF]

Sensors (Basel)
Lyu Y, Wang Y, Liu H, Dong X, He Y, Ren Y.   +5 more
europepmc   +1 more source

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A Lane-Changing Trajectory Planning Algorithm Based on Lane-Change Impact Prediction

IEEE Transactions on Intelligent Vehicles
Current research on lane-changing trajectory planning typically focuses on the benefits of the Subject Vehicle (SV), including factors such as lane-changing efficiency, comfort, and safety.
Yingfeng Cai, Long Chen, Xiaoxia Xiong
exaly   +3 more sources

A Personalized Human-Like Lane-Changing Trajectory Planning Method for Automated Driving System

IEEE Transactions on Vehicular Technology, 2021
This article describes a human-like automated lane-changing system to mimic the lane-changing maneuver of human drivers in order to make automated vehicles more realistic.
Junmin Wang, Shuo Yang, Hongyu Zheng
exaly   +2 more sources