Results 171 to 180 of about 185,697 (306)

Large-scale mining in Aboriginal Australia: cultural dispositions & economic aspirations in Indigenous communities

open access: yes, 2002
Aboriginal responses to large-scale mining, including Indigenous attitudes towards land access for exploration and project development was presented. Cultural dispositions concerning both land and the embracing of capitalist values, prompted negative ...
Trigger, D. S., Trigger, D.
core  

MAPUNet: Multi-scale attention for InSAR phase unwrapping in mining areas. [PDF]

open access: yesPLoS One
Zhang B   +6 more
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Chunking-Synthetic Approaches to Large-Scale Kernel Machines

open access: yes, 2000
We consider a kernel-based approach to nonlinear classification that combines the generation of ?synthetic? points (to be used in the kernel) with ?chunking?
Gonzalez-Castano, Francisco   +1 more
core  

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

open access: yesAdvanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob   +2 more
wiley   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing   +4 more
wiley   +1 more source

NKOTA WATA: Mining and metaphor in Hamtai-Anga "Gold Dreaming"

open access: yes, 2006
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.This work examines a series of mining-related dream narratives as a means of gauging how a community of New Guinean artisanal and small-scale gold miners ...
Moretti, Daniele
core  

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