Results 71 to 80 of about 242,392 (312)
Advanced Intelligent Discovery, EarlyView.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
Stratigraphy and development of the Late Miocene-Early Pleistocene Hawke’s Bay forearc basin [PDF]
, 2004 A Late Miocene-Early Pleistocene mixed carbonate-siliciclastic sedimentary succession about 2 500 m thick in the Hawke’s Bay forearc basin is the focus of a basin analysis. The area under investigation covers 3 500 km2 of western and central Hawke’s Bay.
Bland, Kyle J. +2 more
core +1 more source
Advanced Intelligent Systems, EarlyView.Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu +6 more
wiley +1 more source
3D geological mapping - uncovering the subsurface to increase environmental understanding [PDF]
, 2012 Geological models provide geologists with a mechanism to express their geological knowledge and concepts in an explicit form. The construction of accurate and defensible 3D geological models requires therefore, not only high quality data such as ...
Dearden, Rachel +3 more
core
The Forum of European Geological Surveys Geochemistry Task Group 1994-1996 inventory [PDF]
, 1997 The Forum of European Geological Surveys (FOREGS) includes representatives from 33 European countries and is responsible for co-ordinating Geological Survey activities in Europe.
Fordyce, F.M. +5 more
core +1 more source
Data‐Driven Review and Machine Learning Prediction of Diamond Vacancy Center Synthesis
Advanced Intelligent Systems, EarlyView.A machine learning framework is applied to photoluminescence spectra to extract linewidths and uncover how NV, SiV, GeV, and SnV centers evolve with growth and processing conditions. Unified normalization and k‐fold validation reveal cross‐method trends and enable rapid prediction of defect size and fabrication parameters, offering a data‐driven route ...
Zhi Jiang +3 more
wiley +1 more source
Intelligent High-Resolution Geological Mapping Based on SLIC-CNN
ISPRS International Journal of Geo-Information, 2020 High-resolution geological mapping is an important supporting condition for mineral and energy exploration. However, high-resolution geological mapping work still faces many problems.
Xuejia Sang +5 more
doaj +1 more source
Facilitating the exploitation of ERTS-1 imagery using snow enhancement techniques [PDF]
The author has identified the following significant results. The applications of ERTS-1 imagery for geological fracture mapping regardless of season has been repeatedly confirmed.
Amato, R. V. +3 more
core +1 more source
Geology of Tindfjallajökull volcano, Iceland [PDF]
, 2018 The geology of Tindfjallajökull volcano, southern Iceland, is presented as a 1:50,000 scale map. Field mapping was carried out with a focus on indicators of past environments.
Dave McGarvie +10 more
core +3 more sources
Sub‐Micrometer‐Precision Path Following of Piezo‐Actuated Mobile Robot
Advanced Intelligent Systems, EarlyView.This article reports on the Holonomic‐Beetle (HB), a palm‐sized robot that achieves sub‐micrometer (sub‐µm) precision path tracking across spatial ranges from 100 µm to 10 mm. Using proportional‐integral‐derivative (PID) control, the HB accurately tracks both complex and straight paths with sub‐µm path errors, surpassing existing robots.
Eiji Kusui +9 more
wiley +1 more source