Results 41 to 50 of about 716,263 (297)

Review of Survey Research in Fuzzy Approach for Text Mining

IEEE Access, 2023
Text mining has been a popular research topic in the field of natural language processing. With the emergence of Web 2.0 and the development of social software, the amount of text generated every day has increased dramatically. The texts contain a lot of
Yi-Wei Lai, Mu-Yen Chen
doaj   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Anticipating On‐Target and Off‐Target Effects of CRISPR/Cas9 Genome Editing Via a Feedforward Neural Network Model

Medicine Advances
Background Clustered regularly interspaced short palindromic repeats —CRISPR‐associated protein 9 (CRISPR/Cas9) is a gene editing technology that can deliver highly precise genome editing.
Pavithra Nagendran, Gowtham Murugesan, Jeyakumar Natarajan   +2 more
doaj   +1 more source

Leveraging Deep Graph-Based Text Representation for Sentiment Polarity Applications

, 2019
Over the last few years, machine learning over graph structures has manifested a significant enhancement in text mining applications such as event detection, opinion mining, and news recommendation.
Bijari, Kayvan, Kebriaei, Emad, Veisi, Hadi, Zare, Hadi   +3 more
core   +1 more source

Mining Images in Biomedical Publications: Detection and Analysis of Gel Diagrams [PDF]

, 2014
Authors of biomedical publications use gel images to report experimental results such as protein-protein interactions or protein expressions under different conditions. Gel images offer a concise way to communicate such findings, not all of which need to
Krauthammer, Michael, Kuhn, Tobias, Luong, ThaiBinh, Nagy, Mate Levente   +3 more
core   +2 more sources

High‐Entropy Alloy Design Toward Cobalt Substitution for High Hardness and Low Wear Rate Using X–Cr–Fe–Mn–Ni System

Advanced Engineering Materials, EarlyView.
This study explores the replacement of cobalt using the high‐entropy alloy design strategy for wear‐resistant components operating at high temperatures. Starting from the Cantor alloy, cobalt is substituted with Cu, Al, V, or Mo. Metallurgical and tribological analyses reveal that aluminum, vanadium, and molybdenum effectively strengthen the developed ...
Rafaël Jénot, Laurent Peltier, Fodil Meraghni, Mathieu Marquer, Oriane Baulin, Clotilde Macke‐Bart   +5 more
wiley   +1 more source

A realistic assessment of methods for extracting gene/protein interactions from free text [PDF]

, 2009
Background: The automated extraction of gene and/or protein interactions from the literature is one of the most important targets of biomedical text mining research.
A Moschitti, AB Clegg, Adrian J Shepherd, AM Cohen, Andrew B Clegg, AS Yeh, B Settles, C Nédellec, D Rebholz-Schuhmann, H Jose, HL Johnson, J Ding, J Fluck, JD Kim, JD Kim, K Franzén, K Fundel, K Sagae, L Hunter, M Krallinger, N Domedel-Puig, R Bunescu, R Hoffmann, R Kabiljo, R Kabiljo, R Leaman, R Sætre, Renata Kabiljo, S Pyysalo, S Pyysalo, S Pyysalo, T Hara, WA Baumgartner   +32 more
core   +4 more sources

Bimetallic (NiFe) and Trimetallic (NiFeCr) Nanoalloys from Metal Oxides Using a Microwave Hydrogen Plasma

Advanced Engineering Materials, EarlyView.
Bimetallic (NiFe) and trimetallic (NiFeCr) nanoalloys (NAs) are synthesized using corresponding oxide mixtures using microwave hydrogen plasma within a few milliseconds. The process simultaneously 1) reduces metal oxides to metals; 2) downsizes the particles from micrometers to nanometers; and 3) blends the metals to form NAs.
Sachin Kumar, Mohammad Kazemi, Zichang Xiong, Thomas Cameron, Julian Held, Uwe Kortshagen   +5 more
wiley   +1 more source

Advancing brain tumor diagnosis: Deep siamese convolutional neural network as a superior model for MRI classification

Brain-X
The timely detection and precise classification of brain tumors using techniques such as magnetic resonance imaging (MRI) are imperative for optimizing treatment strategies and improving patient outcomes.
Gowtham Murugesan, Pavithra Nagendran, Jeyakumar Natarajan   +2 more
doaj   +1 more source

Identification of Text Mining Use Cases In Manufacturing Companies

Proceedings of the Conference on Production Systems and Logistics, 2023
Manufacturing companies face the challenge of managing vast amounts of unstructured data generated by various sources such as social media, customer feedback, product reviews, and supplier data. Text-mining technology, a branch of data mining and natural
Clemens, Florian, Özdemir, Hasan Hüseyin, Schuh, Günther, Herberger, David, Hübner, Marco   +4 more
doaj   +1 more source