Results 161 to 170 of about 145,458 (298)
Energy efficiency and carbon footprint assessment in artisanal and small-scale mining processing plants in Ecuador. [PDF]
Moya M +4 more
europepmc +1 more source
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
Determinants of sexually transmitted infections among adolescent girls and young women in artisanal and small-scale mining communities of Uganda. [PDF]
Kwagala B +8 more
europepmc +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Challenges of parents of young adults misusing psychoactive substances in small-scale mining communities in Ghana. [PDF]
Asamoah P, Abokyi SN, Fannam Nunfam V.
europepmc +1 more source
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour +5 more
wiley +1 more source
Monitoring the Extent of Reclamation of Small Scale Mining Areas Using Artificial Neural Networks. [PDF]
Abaidoo CA +3 more
europepmc +1 more source
Artisanal and small scale mining to advance socioeconomic development.
Mining experts gathered in Addis Ababa, Ethiopia to promote an integrated approach in support of multi-stakeholder efforts for safer and more sustainable environmental practices in artisanal and small-scale mining (ASM) development.
core
Automatic Determination of Quasicrystalline Patterns from Microscopy Images
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender +2 more
wiley +1 more source

