Results 231 to 240 of about 70,734 (340)

Text Mining in Bibliometrics and Science Mapping: A Methodological Review

open access: yesWIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Text mining has become a foundational component of contemporary bibliometrics and science mapping, enabling systematic analysis of the semantic structure, thematic evolution, and cognitive organization of scientific fields. Integrating textual evidence with relational indicators enriches knowledge maps and supports more comprehensive, content‐sensitive
Michelangelo Misuraca
wiley   +1 more source

A Deep Learning Framework for Peak Ground Velocity Prediction Using Multi‐Station Velocity Waveforms: The Taiwan Transformer Shaking Alert Model (TT‐SAM)

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract This study proposes a deep‐learning–based regional earthquake early warning model, the Taiwan Transformer Shaking Alert Model (TT‐SAM). The model adopts peak ground velocity (PGV) as its primary ground shaking prediction unit, aiming to better reflect actual structural damage and thereby enhance the practical utility and accuracy of the ...
Yu‐Heng Chen   +3 more
wiley   +1 more source

Advances in Functional Scaffolds for Bone and Joint Surgery. [PDF]

open access: yesJ Funct Biomater
Uklejewski R, Winiecki M, Dąbrowski M.
europepmc   +1 more source

Efficient Surface Roughness Prediction in Laser Micromachining via Explainability‐Driven Feature Reduction

open access: yesExpert Systems, Volume 43, Issue 6, June 2026.
ABSTRACT Ultra‐short pulse (USP) laser micromachining is a key technology for sustainable manufacturing, offering high precision and minimal thermal damage across a wide range of materials. To enable its effective deployment in industrial environments, it is essential to develop monitoring systems capable of accurately predicting surface roughness at ...
Miguel Camacho‐Sánchez   +6 more
wiley   +1 more source

Agro‐Leadership Model in the Aquaculture Sector in Mexico

open access: yesReviews in Aquaculture, Volume 18, Issue 3, June 2026.
ABSTRACT This research aims to analyze leadership for innovation in the Mexican aquaculture sector. The main characteristics of aquaculture producers in the Mezquital Valley of Hidalgo State have been identified and grouped according to an Agro‐leadership profile. The methodological strategy uses machine learning techniques. The data were obtained from
Antonia Terán‐Bustamante   +2 more
wiley   +1 more source

A Comprehensive Review of Traditional and Machine Learning‐Assisted Diffuse Optical Spectroscopy and Imaging Techniques for Dermatological Applications

open access: yesAdvanced Photonics Research, Volume 7, Issue 5, May 2026.
This review critically examines clinical studies on both conventional and machine learning (ML)‐integrated diffuse optical spectroscopy and imaging methods for dermatological applications, with a primary focus on the past decade and inclusion of earlier foundational work where appropriate.
Iftak Hussain   +7 more
wiley   +1 more source

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