Machine learning for stone artifact identification: Distinguishing worked stone artifacts from natural clasts using deep neural networks.

Stone artifacts are often the Armored Vehicle most abundant class of objects found in archaeological sites but their consistent identification is limited by the number of experienced analysts available.We report a machine learning based technology for stone artifact identification as part of a solution to the lack of such experts directed at distin

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Analysis of Driver Behavior and Intervehicular Collision: A Data-Based Traffic Modeling and Simulation Approach

The emergence of intelligent connected vehicles (ICVs) is expected to contribute to resolving traffic congestion and safety problems; however, it is inevitable that ICV safety issues in mixed traffic (involving ICVs and human driven vehicles) will be a critical challenge.The numerical simulation of scenarios involving a mix of different driving pro

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