Results 201 to 210 of about 500,210 (263)

Bearing fault detection with lightweight feature extraction mechanism based on smoothed dilated convolution. [PDF]

Sci Rep
Pang Y, Li X.
europepmc   +1 more source

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

Key Indicator Detection and Authenticity Identification of Beer Based on Near-Infrared Spectroscopy Combined with Multi-Task Feature Extraction. [PDF]

Molecules
Wei Y, Xi G, Liu J, Lu Y, Tan C, Xu C, Li W.   +6 more
europepmc   +1 more source

Modulation-Based Feature Extraction for Robust Sleep Stage Classification Across Apnea-Based Cohorts. [PDF]

Biosensors (Basel)
Tallal U, Agrawal R, Kshirsagar S.
europepmc   +1 more source

Automated Mango Variety Classification Using Deep Feature Extraction and Machine Learning Classifier Integration. [PDF]

Foods
Ahmad I, Khaliq A, Siddique B, Gouda M, Huang T, Tao J, Qiu Z.   +6 more
europepmc   +1 more source

Feature extraction in sensor plant disease datasets using reformed membership functions independent of class variables. [PDF]

Sci Rep
Gupta A, Chug A, Singh AP.
europepmc   +1 more source

A novel transformer-based semantic feature extraction method for multi-label text classification. [PDF]

Sci Rep
Xiao L, Zhang J.
europepmc   +1 more source

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Feature Selection and Feature Extraction: Highlights

Proceedings of the 2021 5th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, 2021
In recent years, big data deluges have resulted in exciting data science opportunities. In particular, there is always a desire to extract the most from different data sources. To address it, a promising and recurring task is to perform feature selection and feature extraction.
Hiu-Man Wong, Xingjian Chen, Hiu-Hin Tam, Jiecong Lin, Shixiong Zhang 0002, Shankai Yan, Xiangtao Li, Ka-Chun Wong   +7 more
openaire   +1 more source

Systematic Feature Extraction

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1982
A systematic feature extraction procedure is proposed. It is based on successive extractions of features. At each stage a dimensionality reduction is made and a new feature is extracted. A specific example is given using the Gaussian minus-log-likelihood ratio as a basis for the extracted features.
Kenneth A. Brakke, James M. Mantock, Keinosuke Fukunaga   +2 more
openaire   +2 more sources