Results 101 to 110 of about 2,744,690 (309)

Autonomous Machine Learning‐Based Classification and Arrangement of Submillimeter Objects Using a Capillary Force Gripper

open access: yesAdvanced 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

Design, Modeling, and Experimentation of Polar Robot: Assisted Sail and Multimode Motion for Energy Saving

open access: yesAdvanced Intelligent Systems, EarlyView.
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

Exploiting Multitask Deep Learning to Identify Multiple Heavy Metal Contamination at Large Scales

open access: yesAdvanced Intelligent Systems, EarlyView.
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

Comparison of Engineering Geology Properties Natural Granite with Artificial Types [PDF]

open access: diamond, 2019
Akbar Jafarazari Khazineh   +2 more
openalex   +1 more source

Encyclopedia of Engineering Geology

open access: yesEncyclopedia of Earth Sciences Series, 2020
P. Bobrowsky, M. Culshaw
semanticscholar   +1 more source

Data‐Driven Insights into Rare Earth Mineralization: Machine Learning Applications Using Functional Material Synthesis Data

open access: yesAdvanced Intelligent Systems, EarlyView.
Hydrothermal synthesis records for rare‐earth compounds are repurposed to learn mineralization rules. An extreme gradient boosting model ingests precursors, additives, and engineered descriptors to predict product phases, crystallization temperature, and pH. Feature importance indicates dominant thermodynamic control with kinetic modulation, suggesting
Juejing Liu   +6 more
wiley   +1 more source

Application of geomechanics in risk prevention and control for the geosafety of major projects on the Tibetan Plateau

open access: yesDizhi lixue xuebao
Objective  The Tibetan Plateau is one of the most tectonically active regions in the world. The coupled effects of endogenic and exogenic processes result in frequent geological hazards and complex engineering geological problems, posing a significant ...
ZHANG Yongshuang   +5 more
doaj   +1 more source

Influence of Mining Activity on Selected Landslide in the Ostrava-Karviná Coalfield [PDF]

open access: yesActa Montanistica Slovaca, 2008
The paper deals with the impact of undermining on the slope deformation Doubrava Vrchovec. For the evaluation of the impact, isocatabase maps, terrain deformation parameters calculated for slope deformation, length measuring by zone extensometry and ...
Matěj Fuka   +2 more
doaj  

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