Study on the detection of heavy metal lead (Pb) in mussels based on near-infrared spectroscopy technology and a REELM classifier
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Study on the detection of heavy metal lead (Pb) in mussels based on near-infrared spectroscopy technology and a REELM classifier
Authors
Keywords
-
Journal
MICROCHEMICAL JOURNAL
Volume 178, Issue -, Pages 107394
Publisher
Elsevier BV
Online
2022-03-19
DOI
10.1016/j.microc.2022.107394
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Anomaly detection during milk processing by autoencoder neural network based on near-infrared spectroscopy
- (2021) Pegah Sadeghi Vasafi et al. JOURNAL OF FOOD ENGINEERING
- Neighborhood rough sets with distance metric learning for feature selection
- (2021) Xiaoling Yang et al. KNOWLEDGE-BASED SYSTEMS
- Detection of chlorpyrifos and carbendazim residues in the cabbage using visible/near-infrared spectroscopy combined with chemometrics
- (2021) Yi Lu et al. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
- Predicting heavy metals in dark sun-cured tobacco by near-infrared spectroscopy modeling based on the optimized variable selections
- (2021) Yue Huang et al. INDUSTRIAL CROPS AND PRODUCTS
- Rapid detection of mussels contaminated by heavy metals using near-infrared reflectance spectroscopy and a constrained difference extreme learning machine
- (2021) Yao Liu et al. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
- Incorporation of two-dimensional correlation analysis into discriminant analysis as a potential tool for improving discrimination accuracy: Near-infrared spectroscopic discrimination of adulterated olive oils
- (2020) Woosuk Sohng et al. TALANTA
- Identification of Copper in Stems and Roots of Jatropha curcas L. by Hyperspectral Imaging
- (2020) Juan Francisco García-Martín et al. Processes
- Alternative data mining/machine learning methods for the analytical evaluation of food quality and authenticity – A review
- (2019) Ana M. Jiménez-Carvelo et al. FOOD RESEARCH INTERNATIONAL
- Impact of class noise on performance of hyperspectral band selection based on neighborhood rough set theory
- (2019) Yao Liu et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- A robust classification algorithm for separation of construction waste using NIR hyperspectral system
- (2019) Wen Xiao et al. WASTE MANAGEMENT
- Multimodal Sparse Classifier for Adolescent Brain Age Prediction
- (2019) Peyman Hosseinzadeh Kassani et al. IEEE Journal of Biomedical and Health Informatics
- A Back Propagation Neural Network Model Optimized by Mind Evolutionary Algorithm for Estimating Cd, Cr, and Pb Concentrations in Soils Using Vis-NIR Diffuse Reflectance Spectroscopy
- (2019) Xi Wang et al. Applied Sciences-Basel
- Sparse pseudoinverse incremental extreme learning machine
- (2018) Peyman Hosseinzadeh Kassani et al. NEUROCOMPUTING
- Research and analysis of cadmium residue in tomato leaves based on WT-LSSVR and Vis-NIR hyperspectral imaging
- (2018) Sun Jun et al. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
- Neighborhood mutual information and its application on hyperspectral band selection for classification
- (2016) Yao Liu et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Combination of multiple model population analysis and mid-infrared technology for the estimation of copper content in Tegillarca granosa
- (2016) Meng-Han Hu et al. INFRARED PHYSICS & TECHNOLOGY
- Hyperspectral band selection based on consistency-measure of neighborhood rough set theory
- (2016) Yao Liu et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure
- (2016) José A. Sáez et al. NEUROCOMPUTING
- Identification of heavy metal-contaminated Tegillarca granosa using infrared spectroscopy
- (2015) Xiaojing Chen et al. Analytical Methods
- Sparse Extreme Learning Machine for Classification
- (2014) Zuo Bai et al. IEEE Transactions on Cybernetics
- Visible and near-infrared reflectance spectroscopy—An alternative for monitoring soil contamination by heavy metals
- (2013) Tiezhu Shi et al. JOURNAL OF HAZARDOUS MATERIALS
- Extreme Learning Machine for Regression and Multiclass Classification
- (2011) Guang-Bin Huang et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Trace elements concentrations (Zn, Cu, Pb, Cd, As and Hg) in the Mediterranean mussel (Mytilus galloprovincialis) and evaluation of mussel quality and possible human health risk from cultivated and wild sites of the southeastern Adriatic Sea, Montenegro
- (2011) Slavka Stankovic et al. JOURNAL OF THE SERBIAN CHEMICAL SOCIETY
- Use of Reflectance Infrared Spectroscopy for Monitoring the Metal Content of the Estuarine Sediments of the Nerbioi-Ibaizabal River (Metropolitan Bilbao, Bay of Biscay, Basque Country)
- (2009) Javier Moros et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Neighborhood rough set based heterogeneous feature subset selection
- (2008) Qinghua Hu et al. INFORMATION SCIENCES
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More