☆ 4.7 Article

Interpreting convolutional neural network classifiers applied to laser-induced breakdown optical emission spectra

TALANTA (2024)

Related references

Note: Only part of the references are listed.

Article Chemistry, Analytical

High-Throughput Recognition of Tumor Cells Using Label-Free Elemental Characteristics Based on Interpretable Deep Learning

Youyuan Chen et al.

Summary: In this study, a novel label-free laser-induced breakdown spectroscopy (LIBS) method was developed for high-throughput recognition of tumor cells, which was combined with a deep learning model for classification. The gradient-weighted class activation mapping technique was used to amplify the differences between the spectra of cell lines, enabling an interpretable classification of cancer cell lines.

ANALYTICAL CHEMISTRY (2022)

Add to Collection

Article Instruments & Instrumentation

Comparison of Convolutional and Conventional Artificial Neural Networks for Laser-Induced Breakdown Spectroscopy Quantitative Analysis

Francesco Poggialini et al.

Summary: The introduction of deep learning algorithms has revolutionized artificial intelligence applications, enabling advancements in technologies like driverless vehicles and automated diagnostics of diseases. This paper discusses the application of convolutional neural networks in laser-induced breakdown spectroscopy (LIBS) and compares it with shallow artificial neural networks, aiming to understand the potential of deep LIBS in practical use.

APPLIED SPECTROSCOPY (2022)

Add to Collection

Article Spectroscopy

Real-time classification of aluminum metal scrap with laser-induced breakdown spectroscopy using deep and other machine learning approaches

Dillam Jossue Diaz-Romero et al.

Summary: In this study, a method for three-way sorting of aluminum using Laser-Induced Breakdown Spectroscopy (LIBS), Machine Learning (ML), and Deep Learning (DL) is proposed. Different algorithms are evaluated and the classified samples are analyzed using spark analysis. The best ML and DL algorithms achieved high precision, recall, and F1-score for spectral processing and classification.

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2022)

Add to Collection

Review Chemistry, Analytical

Methodology and applications of elemental mapping by laser induced breakdown spectroscopy

A. Limbeck et al.

Summary: LIBS has become an established technique for assessing elemental concentrations in various sample types, with a growing interest in elemental imaging studies. Detailed information about elemental distribution within heterogeneous samples is important, and the high speed of analysis and lack of sample preparation make LIBS particularly attractive.

ANALYTICA CHIMICA ACTA (2021)

Add to Collection

Review Chemistry, Analytical

Recent advances in laser-induced breakdown spectroscopy quantification: From fundamental understanding to data processing

Zhe Wang et al.

Summary: Laser-induced breakdown spectroscopy (LIBS) is considered the future superstar for chemical analysis, but faces challenges of measurement uncertainty and error. The study focused on mechanisms of measurement uncertainty generation, signal uncertainty, and matrix effects impacting quantification, as well as methods for raw signal improvement and various LIBS mathematical quantification methods.

TRAC-TRENDS IN ANALYTICAL CHEMISTRY (2021)

Add to Collection

Article Spectroscopy

Deep spectral CNN for laser induced breakdown spectroscopy

Juan Castorena et al.

Summary: This research presents a method using spectral convolutional neural networks to preprocess and calibrate laser induced breakdown spectroscopy signals, with experimental results showing superior performance in remote sensing observations on the Mars rover by the Mars Science Lab.

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2021)

Add to Collection

Article Chemistry, Analytical

Interpretable deep learning-assisted laser-induced breakdown spectroscopy for brand classification of iron ores

Wenya Zhao et al.

Summary: Brand classification of iron ores using CNN combined with LIBS is efficient in compliance verification and achieves high accuracy surpassing other methods. With the analysis of LIBS data characteristics, the approach has broad application prospects.

ANALYTICA CHIMICA ACTA (2021)

Add to Collection

Review Spectroscopy

A review of artificial neural network based chemometrics applied in laser-induced breakdown spectroscopy analysis

Lu-Ning Li et al.

Summary: This article introduces the application of artificial neural networks in chemometrics for laser-induced breakdown spectroscopy (LIBS) analysis, including different types of neural networks and a review of ANN-LIBS methodologies. The discussion highlights the advantages and limitations of ANN methods in LIBS analysis.

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2021)

Add to Collection

Article Chemistry, Analytical

Addressing the sparsity of laser-induced breakdown spectroscopy data with randomized sparse principal component analysis

Erik Kepes et al.

Summary: This work demonstrates that combining SPCA with genetic algorithms offers marginal improvements in clustering and quantification using multivariate calibration in LIBS applications. Importantly, SPCA significantly improves the interpretability of loading spectra. Additionally, loading spectra yielded by SPCA differ from those yielded by sparse partial least squares regression, indicating the potential benefits of utilizing randomized linear algebra tools like RSPCA for analyzing LIBS data.

JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY (2021)

Add to Collection

Article Chemistry, Analytical

Imaging margins of skin tumors using laser-induced breakdown spectroscopy and machine learning

Katerina Kiss et al.

Summary: Laser-based techniques are widely utilized in medicine, with a focus on therapeutic applications and potential for diagnostic approaches. The study explores the application of laser-based spectroscopy in skin cancer assessment, utilizing modern techniques such as machine learning and analytical chemistry. The use of Laser-Induced Breakdown Spectroscopy (LIBS) in combination with standard histopathology shows promise in providing insights into tumor progression and tissue differences, with the potential of machine learning for processing LIBS data.

JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY (2021)

Add to Collection

Review Soil Science

Applications of laser-induced breakdown spectroscopy for soil analysis, part I: Review of fundamentals and chemical and physical properties

Paulino R. Villas-Boas et al.

EUROPEAN JOURNAL OF SOIL SCIENCE (2020)

Add to Collection

Review Soil Science

Applications of laser-induced breakdown spectroscopy for soil characterization, part II: Review of elemental analysis and soil classification

Paulino R. Villas-Boas et al.

EUROPEAN JOURNAL OF SOIL SCIENCE (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

Ramprasaath R. Selvaraju et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2020)

Add to Collection

Article Food Science & Technology

Discrimination of Grape Seeds Using Laser-Induced Breakdown Spectroscopy in Combination with Region Selection and Supervised Classification Methods

Yong He et al.

FOODS (2020)

Add to Collection

Article Multidisciplinary Sciences

Benchmark classification dataset for laser-induced breakdown spectroscopy

Erik Kepes et al.

SCIENTIFIC DATA (2020)

Add to Collection

Article Spectroscopy

Convolutional neural network as a novel classification approach for laser-induced breakdown spectroscopy applications in lithological recognition

Junxi Chen et al.

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2020)

Add to Collection

Review Spectroscopy

Advances in Laser-Induced Breakdown Spectroscopy analysis for geology: A critical review

Cecile Fabre

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

Alejandro Barredo Arrieta et al.

INFORMATION FUSION (2020)

Add to Collection

Article Physics, Fluids & Plasmas

Quantitative analysis modeling for the ChemCam spectral data based on laser-induced breakdown spectroscopy using convolutional neural network

Xueqiang Cao et al.

PLASMA SCIENCE & TECHNOLOGY (2020)

Add to Collection

Article Physics, Multidisciplinary

Fractional Norms and Quasinorms Do Not Help to Overcome the Curse of Dimensionality

Evgeny M. Mirkes et al.

ENTROPY (2020)

Add to Collection

Article Spectroscopy

Classification of challenging Laser-Induced Breakdown Spectroscopy soil sample data - EMSLIBS contest

Jakub Vrabel et al.

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2020)

Add to Collection

Article Spectroscopy

Automatic preprocessing of laser-induced breakdown spectra using partial least squares regression and feed-forward artificial neural network: Applications to Earth and Mars data

Ebo Ewusi-Annan et al.

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2020)

Add to Collection

Review Instruments & Instrumentation

Laser-induced breakdown spectroscopy in archeological science: a review of its application and future perspectives

Fangqi Ruan et al.

APPLIED SPECTROSCOPY REVIEWS (2019)

Add to Collection

Review Chemistry, Analytical

Coal analysis by laser-induced breakdown spectroscopy: a tutorial review

Sahar Sheta et al.

JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY (2019)

Add to Collection

Review Chemistry, Analytical

Applications of laser-induced breakdown spectroscopy in cultural heritage and archaeology: a critical review

Asia Botto et al.

JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY (2019)

Add to Collection

Article Engineering, Biomedical

Identification of cervical cancer using laser-induced breakdown spectroscopy coupled with principal component analysis and support vector machine

Jing Wang et al.

LASERS IN MEDICAL SCIENCE (2018)

Add to Collection

Article Spectroscopy

Multivariate calibration in Laser-Induced Breakdown Spectroscopy quantitative analysis: The dangers of a 'black box' approach and how to avoid them

A. Safi et al.

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2018)

Add to Collection

Article Chemistry, Analytical

Classification and discrimination of coal ash by laser-induced breakdown spectroscopy (LIBS) coupled with advanced chemometric methods

Tianlong Zhang et al.

JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY (2017)

Add to Collection

Review Physics, Applied

Laser-induced plasma emission: from atomic to molecular spectra

Alessandro De Giacomo et al.

JOURNAL OF PHYSICS D-APPLIED PHYSICS (2017)

Add to Collection

Article Spectroscopy

Laser Induced Breakdown Spectroscopy compared with conventional plasma optical emission techniques for the analysis of metals - A review of applications and analytical performance

A. Bengtson

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2017)

Add to Collection

Article Spectroscopy

Recalibration of the Mars Science Laboratory ChemCam instrument with an expanded geochemical database

Samuel M. Clegg et al.

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2017)

Add to Collection

Article Computer Science, Hardware & Architecture

ImageNet Classification with Deep Convolutional Neural Networks

Alex Krizhevsky et al.

COMMUNICATIONS OF THE ACM (2017)

Add to Collection

Review Optics

[INVITED] Signal and noise in Laser Induced Breakdown Spectroscopy: An introductory review

Elisabetta Tognoni et al.

OPTICS AND LASER TECHNOLOGY (2016)

Add to Collection

Article Spectroscopy

Age-specific discrimination of blood plasma samples of healthy and ovarian cancer prone mice using laser-induced breakdown spectroscopy

Noureddine Melikechi et al.

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2016)

Add to Collection

Article Spectroscopy

Multivariate approach to the chemical mapping of uranium in sandstone-hosted uranium ores analyzed using double pulse Laser-Induced Breakdown Spectroscopy

Jakub Klus et al.

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2016)

Add to Collection

Article Optics

Laser induced breakdown spectroscopy and acoustic response techniques to discriminate healthy and cancerous breast tissues

Fatemeh Ghasemi et al.

APPLIED OPTICS (2016)

Add to Collection

Article Automation & Control Systems

Evaluation of supervised chemometric methods for sample classification by Laser Induced Breakdown Spectroscopy

S. Moncayo et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2015)

Add to Collection

Review Multidisciplinary Sciences

Deep learning

Yann LeCun et al.

NATURE (2015)

Add to Collection

Article Spectroscopy

Quantitative analysis by laser-induced breakdown spectroscopy based on generalized curves of growth

C. Aragon et al.

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2015)

Add to Collection

Article Instruments & Instrumentation

Automatic Classification of Laser-Induced Breakdown Spectroscopy (LIBS) Data of Protein Biomarker Solutions

David Pokrajac et al.

APPLIED SPECTROSCOPY (2014)

Add to Collection

Article Spectroscopy

Application of a series of artificial neural networks to on-site quantitative analysis of lead into real soil samples by laser induced breakdown spectroscopy

J. El Haddad et al.

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2014)

Add to Collection

Article Instruments & Instrumentation

A Nonlinearized Multivariate Dominant Factor-Based Partial Least Squares (PLS) Model for Coal Analysis by Using Laser-Induced Breakdown Spectroscopy

Jie Feng et al.

APPLIED SPECTROSCOPY (2013)

Add to Collection

Article Automation & Control Systems

Method and model comparison by sum of ranking differences in cases of repeated observations (ties)

Klara Kollar-Hunek et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2013)

Add to Collection

Article Spectroscopy

Pre-flight calibration and initial data processing for the Chem Cam laser-induced breakdown spectroscopy instrument on the Mars Science Laboratory rover

R. C. Wiens et al.

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2013)

Add to Collection

Article Spectroscopy

Artificial neural network for on-site quantitative analysis of soils using laser induced breakdown spectroscopy

J. El Haddad et al.

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2013)

Add to Collection

Review Instruments & Instrumentation

Laser-Induced Breakdown Spectroscopy (LIBS), Part II: Review of Instrumental and Methodological Approaches to Material Analysis and Applications to Different Fields

David W. Hahn et al.

APPLIED SPECTROSCOPY (2012)

Add to Collection

Review Astronomy & Astrophysics

The ChemCam Instrument Suite on the Mars Science Laboratory (MSL) Rover: Body Unit and Combined System Tests

Roger C. Wiens et al.

SPACE SCIENCE REVIEWS (2012)

Add to Collection

Review Astronomy & Astrophysics

The ChemCam Instrument Suite on the Mars Science Laboratory (MSL) Rover: Science Objectives and Mast Unit Description

S. Maurice et al.

SPACE SCIENCE REVIEWS (2012)

Add to Collection

Article Chemistry, Analytical

Laser-induced plasma tomography by the Radon transform

S. Merk et al.

JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY (2011)

Add to Collection

Review Chemistry, Analytical

Sum of ranking differences compares methods or models fairly

Karoly Heberger

TRAC-TRENDS IN ANALYTICAL CHEMISTRY (2010)

Add to Collection

Article Spectroscopy

Spatial characterization of laser induced plasmas obtained in air and argon with different laser focusing distances

JA Aguilera et al.

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2004)

Add to Collection

Article Chemistry, Analytical

Comparing several atomic spectrometric methods to the super stars: special emphasis on laser induced breakdown spectrometry, LIBS, a future super star

JD Winefordner et al.

JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY (2004)

Add to Collection

Article Spectroscopy

Characterization of a laser-induced plasma by spatially resolved spectroscopy of neutral atom and ion emissions.: Comparison of local and spatially integrated measurements

JA Aguilera et al.

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2004)

Add to Collection

Article Physics, Applied

Characterization of laser-produced aluminum plasma in ambient atmosphere of nitrogen using fast photography

AK Sharma et al.

APPLIED PHYSICS LETTERS (2004)

Add to Collection

© Peeref 2019-2024. All rights reserved.