Results 121 to 130 of about 2,917,023 (283)

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

Advanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou, Qiang Gao, Liuchao Jin, Guoquan Xie, Kang Zhang, Wei‐Hsin Liao   +5 more
wiley   +1 more source

Can large language models be used to code text for thematic analysis? An explorative study

Discover Artificial Intelligence
In practice, thematic analysis of text involves six stages, among which text coding is particularly cognitively demanding, labor-intensive, and time-consuming. This study investigates and compares the potential of two large language models (LLMs), namely
Zhiyong Han, Aaron Tavasi, JuYoung Lee, Joshua Luzuriaga, Kevin Suresh, Michael Oppenheim, Fortunato Battaglia, Stanley R. Terlecky   +7 more
doaj   +1 more source

Opening Ottoman Miniature Collections Through Computational Access: Methodological Lessons for Digital Humanities

Journal of Open Humanities Data
Ottoman miniature collections represent a layered cultural heritage that combines artistic, historical, social, and intellectual dimensions. Yet, access to their content is often limited by catalogue records that provide only minimal descriptive ...
Esra Cansu Çan Beton, Zehra Taşkın
doaj   +1 more source

Estimating forest canopy cover using Landsat7 ETM+ data [PDF]

تحقیقات جنگل و صنوبر ایران, 2005
The remotely sensed data is one of the most rapid methods for providing thematic maps in natural resources, especially forest. By combining ETM+ data and ground observation data, we can have access to thematic maps of forest such as canopy cover map ...
Khosro Mirakhorlou, Manoochehr Amani
doaj  

Cross‐Sectoral AI Integration Is Essential to Tackling Food Waste and Food Insecurity: A Roadmap for Developing Resilient Food Systems

Advanced Intelligent Systems, EarlyView.
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad, Hannah Mann, Lubna Najm, Shadman Khan, Carlos D. M. Filipe, Tohid F. Didar   +5 more
wiley   +1 more source

Comparison of Thematic Maps Using Symbolic Entropy [PDF]

Comparison of thematic maps is an important task in a number of disciplines. Map comparison has traditionally been conducted using cell-by-cell agreement indicators, such as the Kappa measure.
Manuel Ruiz, Fernando A López, Antonio Paez   +2 more
core  

A CORPUS-BASED STUDY OF CONNECTORS AND THEMATIC PROGRESSION IN THE ACADEMIC WRITING OF THAI EFL STUDENTS [PDF]

, 2014
The objective of the current study is to compare how Thai EFL writers develop and express their oppositional ideas in arguments and to compare their use of oppositional connectors in arguments to those of published scholars in the field of health science.
CHANYOO, NATTHAPONG
core  

A Comprehensive Review on Additive Manufacturing of Smart Components: Technologies, Applications, and Future Scope

Advanced Intelligent Systems, EarlyView.
How can additive manufacturing enable components that sense, adapt, heal, and power themselves? This review synthesizes recent advances in smart functionalities, manufacturing technologies, and intelligent design strategies, revealing a pathway toward fully integrated, autonomous, and multifunctional systems across diverse engineering sectors. Additive
Aiswarya Rony, P. M. Ushasree, Michael Short, Jinoop Arackal Narayanan   +3 more
wiley   +1 more source

Frankenstein, thematic analysis and generative artificial intelligence: Quality appraisal methods and considerations for qualitative research.

PLoS ONE
ObjectiveTo determine accuracy and efficiency of using generative artificial intelligence (GenAI) to undertake thematic analysis.IntroductionWith the increasing use of GenAI in data analysis, testing the reliability and suitability of using GenAI to ...
Tanisha Jowsey, Peta Stapleton, Shawna Campbell, Alexandra Davidson, Cher McGillivray, Isabella Maugeri, Megan Lee, Justin Keogh   +7 more
doaj   +1 more source

Research on Thematic Risk Map Knowledge Recommendation from the Perspective of Public Security Prevention and Control

Redai dili
As a crucial visual aid for security information representation, thematic maps not only help public security management departments understand regional security conditions but also guide police deployment and patrol planning.
Shen Tianqi, Zheng Wen, Li Weihong
doaj   +1 more source