Results 61 to 70 of about 3,437,889 (360)

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

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

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

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

Modern Clinical Text Mining: A Guide and Review.

Annual Review of Biomedical Data Science, 2020
Electronic health records (EHRs) are becoming a vital source of data for healthcare quality improvement, research, and operations. However, much of the most valuable information contained in EHRs remains buried in unstructured text. The field of clinical
B. Percha
semanticscholar   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +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

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 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