Results 121 to 130 of about 212,782 (282)

Front matter JGEET Vol 08 No 02 2023

JGEET: Journal of Geoscience, Engineering, Environment and Technology, 2023
JGEET (J. Geoscience Eng. Environ. Technol.)
doaj  

PreparedLLM: effective pre-pretraining framework for domain-specific large language models

Big Earth Data
The direct application of large language models (LLMs) to specific domain tasks frequently encounters challenges due to the scarcity of domain data, variations in domain semantics, and the complexity of domain knowledge.
Zhou Chen, Ming Lin, Zimeng Wang, Mingrun Zang, Yuqi Bai   +4 more
doaj   +1 more source

Redistributing Cobalt and Tungsten From WC–Co Soft Scrap Toward Sustainable Cathode and Coating Materials for Lithium‐Ion Batteries

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A sustainable upcycling strategy transforms tungsten carbide–cobalt (WC–Co) soft scrap into high‐performance cathode materials. Recycled Co with trace nickel (Ni) is resynthesized into stabilized LiCoO2 with superior high‐voltage durability, while the recovered tungsten is further utilized as tungsten trioxide to enhance Ni‐rich cathode interfaces ...
Seulgi Kim, Kyoung Sun Kim, Young‐Sang Yu, Ingyu Choi, Seungo Jeong, Eun‐Jung Shin, Seung‐Hyun Kim, Sung‐Hak Jo, Seung‐Ho Yu, Hyungsub Kim, Dongju Lee   +10 more
wiley   +1 more source

Back matter JGEET Vol 08 No 02 2023

JGEET: Journal of Geoscience, Engineering, Environment and Technology, 2023
JGEET (J. Geoscience Eng. Environ. Technol.)
doaj  

Predicting Subsurface Layer Thickness and Seismic Wave Velocity Using Deep Learning: Knowledge Distillation Approach

IEEE Access
Seismic interpretation is a crucial task in geophysics, requiring accurate prediction of subsurface layer thickness and seismic wave velocity. Traditional methods are computationally intensive and often hindered by noise in seismic data.
Amir Moslemi, Anna Briskina, Jason Li, Zubeka Dang, Peyman Moghaddam   +4 more
doaj   +1 more source

Assessment in Paradise: Using Data to Drive Undergraduate Geoscience Initiatives and Programmatic Changes [PDF]

, 2017
At the University of Hawaii at Manoa (UHM), the undergraduate geoscience programs are housed within the School of Ocean and Earth Science and Technology (SOEST).
Guidry, Michael, Tsang, Tiffany
core  

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source

Towards More Fluid Inclusion: Making Geoscience Undergraduate Degrees a Place of Belonging for All

Earth Science, Systems and Society
Geosciences are central to addressing many of the challenges facing our society and environment today, and geoscience undergraduate degrees can lead to influential and lucrative careers in a range of fields.
Bethany R. S. Fox, Rukhsana R. Din, A. C. Davidson, Vicki Trowler, Victoria Ayodeji, Francisca Rockey, Manju Patel-Nair   +6 more
doaj   +1 more source

Comparing Transcriptomic Responses to Chemicals Across Six Species Using the EcoToxChip RNASeq Database

Environmental Toxicology and Chemistry, EarlyView.
Abstract The EcoToxChip project includes RNA‐sequencing data from experiments involving model (Japanese quail, fathead minnow, African clawed frog) and ecological (double‐crested cormorant, rainbow trout, northern leopard frog) species at multiple life stages (whole embryo and adult) exposed to eight chemicals of environmental concern known to perturb ...
Krittika Mittal, Jessica Ewald, Doug Crump, Jessica Head, Markus Hecker, Natacha Hogan, Jianguo Xia, Niladri Basu   +7 more
wiley   +1 more source

Geospatial Data and Deep Learning Expose ESG Risks to Critical Raw Materials Supply: The Case of Lithium

Earth Science, Systems and Society
Disruptions to the global supply chains of critical raw materials (CRM) have the potential to delay or increase the cost of the renewable energy transition.
Christopher J. M. Lawley, Marcus Haynes, Bijal Chudasama, Kathryn Goodenough, Toni Eerola, Artem Golev, Steven E. Zhang, Junhyeok Park, Eleonore Lèbre   +8 more
doaj   +1 more source