Results 91 to 100 of about 980,811 (352)
This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando +4 more
wiley +1 more source
In this research, an integrated framework on the big Earth data analysis has been developed in the context of the geomorphology of Jordan. The research explores the correlation between several thematic datasets, including machine learning and ...
Polina Lemenkova
doaj
This article proposes a polar robot that utilizes assisted sail and multimode motion to achieve energy‐saving. The design, modeling, and experimental methods are introduced. The results show that the energy‐saving effect of the robot using a multimode energy savings control strategy reaches 21.19%, providing technical support for long‐term polar ...
Yongsheng Luo +8 more
wiley +1 more source
Virtual fieldtrips enable the teaching of field geology remotely or in classroom-settings by leveraging video-game technologies. We describe the development of a virtual fieldtrip to Kinlochleven in Scotland to teach undergraduate students geological ...
Matthew J. Genge +5 more
doaj +1 more source
Exploiting Multitask Deep Learning to Identify Multiple Heavy Metal Contamination at Large Scales
A multitask deep learning framework evaluates manganese, chromium, and cobalt concentrations in European soils, achieving an average R2 of 0.75. From 2009 to 2015, soil concentrations increase significantly. Source analysis identifies anthropogenic manganese and geological chromium and cobalt origins.
Tao Hu +6 more
wiley +1 more source
Vs30 Derived from Geology: An Attempt in the Province of Quebec, Canada
The influence of local site conditions is important when assessing the distribution of building damage and seismic risk. The average shear-wave velocity of the top 30 m of soil, Vs30, is one of the most commonly used parameters to characterize site ...
Philippe Rosset +3 more
doaj +1 more source
An Ensemble Algorithm Based Component for Geomagnetic Data Assimilation
Geomagnetic data assimilation is one of the most recent developments in geomagnetic studies. It combines geodynamo model outputs and surface geomagnetic observations to provide more accurate estimates of the core dynamic state and provide accurate ...
Zhibin Sun and Weijia Kuang
doaj +1 more source

