Results 221 to 230 of about 877,747 (317)

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
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, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

The deformation characteristics and the prefabricated crack pressure relief stability control of a small coal pillar roadway under stress superposition. [PDF]

Sci Rep
Cheng S, Ma Z, Li Y, Zhang X.
europepmc   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
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, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Beyond occupational injury: exploring lived experiences of marginalization and survival among injured coal miners in Bangladesh. [PDF]

BMC Public Health
Khan TH, Hossain MM, Mahmud A, Akter MS, Tonny MTN, Rashid MA.   +5 more
europepmc   +1 more source

Department of Mining Engineering newsletter 2020

, 2020

core  

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

Advanced Intelligent Discovery, EarlyView.
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, Marco Corrias, Cesare Franchini   +2 more
wiley   +1 more source

Soil-plant interactions and metal uptake efficiency of native species in phosphate mining-affected environments. [PDF]

BMC Plant Biol
Ramadan S, Rizwan M, Al-Balawi SM, Elshamy MM.   +3 more
europepmc   +1 more source

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

Advanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali, Lachlan Caulfield, Eric Sauter, Alexei Nefedov, Chengwu Yang, Christof Wöll   +5 more
wiley   +1 more source

Study on pressure-relief effect and protection scope of long-distance lower protective seam mining based on similar physical simulation and PFC^3D. [PDF]

Sci Rep
Zhan K, Liu Z, Wei D, Yao W, Zhou W, Zhu R, Yuan Y, Yang Y, Zhang D, Li B.   +9 more
europepmc   +1 more source