Machine‐Learning‐Based, Feature‐Rich Prediction of Alumina Microstructure from Hardness
Advanced Intelligent Discovery, EarlyView.Herein, high‐performance generative adversarial network (GAN), named ‘Microstructure‐GAN’, is demonstrated. After training, the high‐fidelity, feature‐rich micrographs can be predicted for an arbitrary target hardness. Microstructure details such as small pores and grain boundaries can be observed at the nanometer scale in the predicted 1000 ...
Xiao Geng +10 more
wiley +1 more source
F1000Research, 2017 Biomedical text mining promises to assist biologists in quickly navigating the combined knowledge in their domain. This would allow improved understanding of the complex interactions within biological systems and faster hypothesis generation.
Kishore R. Anekalla +5 more
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Sentiment Analysis: A Survey [PDF]
arXiv, 2014 Sentiment analysis (also known as opinion mining) refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. Mining opinions expressed in the user generated content is a challenging yet practically very useful problem.
arxiv
Advanced Intelligent Discovery, EarlyView.This paper describes the basis for AInsectID Version 1, a GUI‐operable open‐source insect species identification, color processing, and image analysis software. This paper discusses our methods of algorithmic development, coupled to rigorous machine training used to enable high levels of validation accuracy.
Haleema Sadia, Parvez Alam
wiley +1 more source
Understanding Therapeutic Change Process Research Through Multilevel Modeling and Text Mining
Frontiers in Psychology, 2019 Online interventions hold great potential for Therapeutic Change Process Research (TCPR), a field that aims to relate in-therapeutic change processes to the outcomes of interventions.
Wouter A. C. Smink +6 more
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A Text-book of Geology , for use in mining schools, colleges and secondary schools. By James Park, Professor of Mining in the University of Otago, New Zealand. London, Charles Griffin & Co. 1914. 8vo. Pp. xvi + 598, Figs. 263, Pls. 70. [PDF]
, 1914 J. F. Kemp
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ANALISIS PEMBOBOTAN KATA PADA KLASIFIKASI TEXT MINING
, 2019 - In this era, we need to extract the text needed to visualize or need knowledge from a large collection of document texts. Text mining is the process of obtaining high-quality information from text. High-quality information obtained because of attention
Agatha Deolika +2 more
semanticscholar +1 more source
Advanced Intelligent Discovery, EarlyView.Sampling a design space to target a class of possible desirable outcomes, creating an artificial intuition, can accelerate future optimizations to those targets. This is tested experimentally with parameterization to achieve various geometries of freestanding structures using direct ink write (DIW) 3D printing.
Erick J. Braham +4 more
wiley +1 more source
Review of the Approaches and Techniques of Text Mining in Clinical Documentation
مجله انفورماتیک سلامت و زیست پزشکی, 2018 Introduction: With the extensive use of electronic medical records systems, a large amount of medical text data is produced daily in the hospitals and other medical environments that organizing this text information is important and necessary.
Farzaneh Feizmanesh, Ali Asghar Safaei
doaj
Tektonická Geologie, se zvláŝtním zřetedhm k potřebám báñských techniků. (Tectonic Geology, with Special Regard to the Needs of Mining Engineers.) By B. Stoĉes. Four plates and 256 illustrations in the text. Moravska Ostravá, 1921. [PDF]
, 1922 T. Moscheles
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