Results 181 to 190 of about 23,131 (301)

An efficient hybrid artificial intelligence framework for lung cancer classification using CT images. [PDF]

Sci Rep
Kamala L, Mohan KG.
europepmc   +1 more source

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

Real-Time Panoramic Surveillance Video Stitching Method for Complex Industrial Environments. [PDF]

Sensors (Basel)
Zhu J, Guo J, Ding K, Wang G, Zhou Y, Li W.   +5 more
europepmc   +1 more source

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

Robust registration under large image misalignment using an iterative step-aware transformer with application to corneal confocal microscopy. [PDF]

Biomed Opt Express
Chen Z, Zemborain ZZ, Ruiz-Lozano RE, Quiroga-Garza ME, Ma S, Soifer M, Azar NS, Mousa HM, Perez VL, Farsiu S.   +9 more
europepmc   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Toward Linking Indoor Commercial Source Emissions to Outdoor Volatile Organic Compounds Using Mobile Measurements. [PDF]

ACS EST Air
Budisulistiorini SH, Moore TC, Shaw MD, Drysdale WS, Lee JD, Carslaw DC.   +5 more
europepmc   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Repeated pattern detection on fabric: A survey and novel approach. [PDF]

PLoS One
Ayyurek E, Marcuzzo M, Zangari A, Giudice L, Bigaglia G, Pistellato M, Albarelli A, Gasparetto A.   +7 more
europepmc   +1 more source

CHARACTERISTICS OF RAINDROP SPECTRUM BASED ON THE SIFT METHOD

Applied Ecology and Environmental Research
B. FANG, W.X. YANG, T.N. ZHANG, Y. LI, M.J. ZHANG, J.X. WANG   +5 more
openaire   +1 more source