Results 131 to 140 of about 208,737 (313)
A Physics‐Informed Neural Network as a Digital Twin of Optically Turbid Media
In this work, a physics‐informed neural network is presented as a digital twin for modeling and studying optically turbid media without requiring reference light. The model learns and integrates complex wavefront modulation behavior, ensuring robustness without explicit calibration.
Mohammadrahim Kazemzadeh+4 more
wiley +1 more source
A transitive model for extracting translation equivalents of web queries through anchor text mining [PDF]
Wen‐Hsiang Lu+2 more
openalex +1 more source
Deep Q‐Network‐Based Hierarchical Path Planning of a Biped Wall‐Climbing Robot for Window Cleaning
This article presents a biped wall‐cleaning climbing robotic system for the maintenance of multi‐isolated areas on exoskeleton‐structured windows (ESWs). A full coverage cleaning approach is proposed by integrating a deep Q‐network‐based method with the robotic system to address the complete coverage cleaning path planning problem.
Weijian Zhang+3 more
wiley +1 more source
Text Mining YouTube Comment Data with Wordfish in R
In this lesson, you will learn how to download YouTube video comments and use the R programming language to analyze the dataset with Wordfish, an algorithm designed to identify opposing ideological perspectives within a corpus.
Alex Wermer-Colan+2 more
doaj +1 more source
Building semantic/ontological knowledge by text mining [PDF]
Eduard Hovy
openalex +1 more source
Knowledge Distillation‐Based Zero‐Shot Learning for Process Fault Diagnosis
Process and image data are equivalent with the teacher model pretrained on image data. Knowledge distillation transfers normal condition data to the student model. When an unknown fault occurs, differences between the teacher and student models are quantified via gradients to isolate the fault. Data‐driven deep learning is effective in diagnosing known
Yi Liu, Jiajun Huang, Mingwei Jia
wiley +1 more source
Applied Artificial Intelligence in Materials Science and Material Design
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel+7 more
wiley +1 more source
Gender-preferential text mining of e-mail discourse [PDF]
Malcolm Corney+3 more
openalex +1 more source
Health behaviours and affective states of partners of fly‐in fly‐out workers: A daily diary study
Abstract Partners of fly‐in fly‐out (FIFO) workers face increases in demands, for instance in care and family responsibilities, particularly in the absence of workers; however, little is known about how their daily life experiences influence their health across the FIFO work cycle.
Bernard Kwadwo Yeboah Asiamah‐Asare+3 more
wiley +1 more source
It was discovered by Omid Amiri and co‐workers that piezo‐catalysts or piezo materials exhibit an intriguing memory effect in their ability to kill bacteria. The effect is that the piezo materials can retain their activity even days after the mechanical force has been applied. The piezo‐catalysts can preserve their ability to kill bacteria for up to 11
Omid Amiri+9 more
wiley +1 more source