Results 101 to 110 of about 304,591 (360)

Progress and challenges of big data research on petrology and geochemistry

Solid Earth Sciences, 2018
We are entering the era of big data, and big data achievements have benefited ordinary people. However, big data application in geochemistry research has not been really appreciated. Big data is a kind of method and a pattern of thought.
Shoutao Jiao, Qi Zhang, Yongzhang Zhou, Wanfeng Chen, Xinyu Liu, Gnanachandrasamy Gopalakrishnan   +5 more
doaj   +1 more source

UK regional scale modelling of natural geohazards and climate change [PDF]

, 2010
For over 10 years, the British Geological Survey (BGS) has been investigating geotechnical and mineralogical factors controlling volume change behaviour of UK clay soils and mudrocks.
Culshaw, M.G., Harrison, A.M., Harrison, M., Jones, L., Plim, J.   +4 more
core  

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

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, Naoto Watanabe, Chihiro Sekine, Shogen Sekiguchi, Ohmi Fuchiwaki   +4 more
wiley   +1 more source

Analysis of the Earned Value Management and Earned Schedule Techniques in Complex Hydroelectric Power Production Projects: Cost and Time Forecast

Complexity, 2019
All projects take place within a context of uncertainty. That is especially noticeable in complex hydroelectric power generation projects, which are affected by factors such as the large number of multidisciplinary tasks to be performed in parallel, long
P. Urgilés, J. Claver, M. A. Sebastián
doaj   +1 more source

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

Advanced 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, Xiaoxu Li, Yifu Feng, Zheming Wang, Kevin M. Rosso, Xiaofeng Guo, Xin Zhang   +6 more
wiley   +1 more source

A CRDNet‐Based Watermarking Algorithm for Fused Visible–Infrared Images

Advanced Intelligent Systems, EarlyView.
CRDnet includes encoders and decoders based on residual and dense structures, a fusion network robust to 12 visible and infrared image fusion algorithms, and predictors for predicting watermarked infrared images. The encoder and decoder incorporate preprocessing steps, attention mechanisms, and activation functions suitable for infrared images.
Yu Bai, Li Li, Shanqing Zhang, Ting Luo, Chin‐Chen Chang   +4 more
wiley   +1 more source

Geology of the Greenside Lead Mine, Cumberland.

, 1962
Imperial Users ...
Gough, David, Gough, David
openaire   +1 more source

Geochemical, aeromagnetic, and generalized geologic maps showing distribution and abundance of lead, silver, gold, and copper, Goldrun Creek Quadrangle, Humboldt County, Nevada [PDF]

, 1973
Ralph Leroy Erickson, Sherman P. Marsh
openalex   +1 more source

Pore Variation Characteristics of Altered Wall Rocks in the Huize Lead–Zinc Deposit, Yunnan, China and Their Geological Significance [PDF]

, 2023
Yanglin Li, Zhigang Kong, Changqing Zhang, Yue Wu, Xue Yang, Yu Wang, Gang Chen   +6 more
openalex   +1 more source

Natural resource base of the Fairbanks North Star Borough [PDF]

, 1967
This report on the natural resource base of the Fairbanks North Star Borough is one of several continuing research projects related to community planning in Alaska.
Haring, R.C., Wolff, E.N.
core