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Open access

Review article

First published 2014

PathoQC: Computationally Efficient Read Preprocessing and Quality Control for High-Throughput Sequencing Data Sets

Changjin Hong, Solaiappan Manimaran, William Evan Johnson

Cancer Informatics

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Research article

First published 2018-9

Developing Fully Automated Quality Control Methods for Preprocessing Raman Spectra of Biomedical and Biological Samples

H. Georg Schulze, Shreyas Rangan, James M. Piret [...]

Applied Spectroscopy

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Research article

First published 1995-7

Near-Infrared Spectroscopy as an Alternative to Biological Testing for Quality Control of Hyaluronan: Comparison of Data Preprocessing Methods for Classification

Annika E. Carlsson, Kjell L.-R. Janné

Applied Spectroscopy

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Research article

First published 2025

Deep learning-based fabric defect detection system for quality control in textile manufacturing

Dianxi Zhang

Journal of Computational Methods in Sciences and Engineering

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Research article

First published 2015-6

Development and Integration of Block Operations for Data Invariant Automation of Digital Preprocessing and Analysis of Biological and Biomedical Raman Spectra

H. Georg Schulze, Robin F. B. Turner

Applied Spectroscopy

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Other

First published 2011-8

Monitoring chenille yarn defects using image processing with control charts

Tunák Maroš, Bajzík Vladimír, Testik Murat Caner

Textile Research Journal

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Research article

First published 2021-02-02

Intelligent online English teaching system based on SVM algorithm and complex network

Chuanxin Fang

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2024-4-22

SMoGW-based deep CNN: Plant disease detection and classification using SMoGW-deep CNN classifier

Archana Buddham Pahurkar, Ravindra Madhukarrao Deshmukh

Web Intelligence

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Research article

First published 2020-9

Identification of geographical origin of TPFD based on handheld NIR spectroscopy and PLSDA

Rita-Cindy Aye-Ayire Sedjoah, Bangxing Han, Hui Yan

NIR news

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Research article

First published 2019-1

Stable cutting zone prediction in computer numerical control turning based on empirical mode decomposition and artificial neural network approach

Yogesh Shrivastava, Bhagat Singh

Transactions of the Institute of Measurement and Control

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