Cargando…

A Voting-Based Ensemble Deep Learning Method Focused on Multi-Step Prediction of Food Safety Risk Levels: Applications in Hazard Analysis of Heavy Metals in Grain Processing Products

Grain processing products constitute an essential component of the human diet and are among the main sources of heavy metal intake. Therefore, a systematic assessment of risk factors and early-warning systems are vital to control heavy metal hazards in grain processing products. In this study, we es...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Zuzheng, Wu, Zhixiang, Zou, Minke, Wen, Xin, Wang, Zheng, Li, Yuanzhang, Zhang, Qingchuan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947666/ https://www.ncbi.nlm.nih.gov/pubmed/35327246 http://dx.doi.org/10.3390/foods11060823

Ejemplares similares

Voting Ensemble Approach for Enhancing Alzheimer’s Disease Classification
por: Chatterjee, Subhajit, et al.
Publicado: (2022)

A voting-based ensemble deep learning method focusing on image augmentation and preprocessing variations for tuberculosis detection
por: Tasci, Erdal, et al.
Publicado: (2021)

Enhancing the weighted voting ensemble algorithm for tuberculosis predictive diagnosis
por: Osamor, Victor Chukwudi, et al.
Publicado: (2021)

A Selective Voting Convex-Hull Ensemble Procedure for Personalized Medicine
por: Nagarajan, Radhakrishnan, et al.
Publicado: (2012)

Diagnosing Coronary Artery Disease on the Basis of Hard Ensemble Voting Optimization
por: Mohammedqasim, Hayder, et al.
Publicado: (2022)

An ensemble learning based IDS using Voting rule: VEL-IDS
por: Emanet, Sura, et al.
Publicado: (2023)

i6mA-Vote: Cross-Species Identification of DNA N6-Methyladenine Sites in Plant Genomes Based on Ensemble Learning With Voting
por: Teng, Zhixia, et al.
Publicado: (2022)

EL V.2 Model for Predicting Food Safety Risks at Taiwan Border Using the Voting-Based Ensemble Method
por: Wu, Li-Ya, et al.
Publicado: (2023)

Profiles and Majority Voting-Based Ensemble Method for Protein Secondary Structure Prediction
por: Bouziane, Hafida, et al.
Publicado: (2011)

A voting-based ensemble feature network for semiconductor wafer defect classification
por: Misra, Sampa, et al.
Publicado: (2022)

Adapted Deep Ensemble Learning-Based Voting Classifier for Osteosarcoma Cancer Classification
por: Walid, Md. Abul Ala, et al.
Publicado: (2023)

Heavy metal removal with magnetic coffee grain
por: ASLIYÜCE ÇOBAN, Sevgi, et al.
Publicado: (2021)

Deep Learning Based COVID-19 Detection via Hard Voting Ensemble Method
por: Shareef, Asaad Qasim, et al.
Publicado: (2023)

Cancer Classification Utilizing Voting Classifier with Ensemble Feature Selection Method and Transcriptomic Data
por: Khatun, Rabea, et al.
Publicado: (2023)

Collaborative driving style classification method enabled by majority voting ensemble learning for enhancing classification performance
por: Guo, Yi, et al.
Publicado: (2021)

Prediction of Food Safety Risk Level of Wheat in China Based on Pyraformer Neural Network Model for Heavy Metal Contamination
por: Dong, Wei, et al.
Publicado: (2023)

Vote!
por: Association du personnel
Publicado: (2006)

Vote
por: Association du personnel
Publicado: (2007)

Inspection of Underwater Hull Surface Condition Using the Soft Voting Ensemble of the Transfer-Learned Models
por: Kim, Byung Chul, et al.
Publicado: (2022)

GeoWaVe: geometric median clustering with weighted voting for ensemble clustering of cytometry data
por: Burton, Ross J, et al.
Publicado: (2022)

Evaluation and classification of obfuscated Android malware through deep learning using ensemble voting mechanism
por: Aurangzeb, Sana, et al.
Publicado: (2023)

An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI
por: Kibria, Hafsa Binte, et al.
Publicado: (2022)

A Two-Stage Voting-Boosting Technique for Ensemble Learning in Social Network Sentiment Classification
por: Cui, Su, et al.
Publicado: (2023)

Voting at 16: Turnout and the quality of vote choice
por: Wagner, Markus, et al.
Publicado: (2012)

Evaluating the effectiveness of ensemble voting in improving the accuracy of consensus signals produced by various DTWA algorithms from step-current signals generated during nanopore sequencing
por: Smith, Michael, et al.
Publicado: (2021)

Two-stepped majority voting for efficient EEG-based emotion classification
por: Ismael, Aras M., et al.
Publicado: (2020)

A Vote for the Economy? A Vote Against Democracy
por: Bourguignon, Jiffer
Publicado: (2020)

To vote, or not to vote? Electoral campaigns and the spread of COVID-19()
por: Cipullo, Davide, et al.
Publicado: (2022)

Uncertain-CAM: Uncertainty-Based Ensemble Machine Voting for Improved COVID-19 CXR Classification and Explainability
por: Aldhahi, Waleed, et al.
Publicado: (2023)

To Label or Not to Label: California Prepares to Vote on Genetically Engineered Foods
por: Dahl, Richard
Publicado: (2012)

Voting behavior /
Publicado: (1986)

Approval voting
por: Brams, Steven J, et al.
Publicado: (2007)

How to Vote
Publicado: (1914)

Voting Charities
Publicado: (1891)

Voting paradoxes and group coherence: the condorcet efficiency of voting rules
por: Gehrlein, William V, et al.
Publicado: (2011)

Voting at Home Is Associated with Lower Cortisol than Voting at the Polls
por: Neiman, Jayme, et al.
Publicado: (2015)

Multi-agent Systems and Voting: How Similar Are Voting Procedures
por: Kacprzyk, Janusz, et al.
Publicado: (2020)

Too afraid to vote? The effects of COVID-19 on voting behaviour()
por: Fernandez-Navia, Tania, et al.
Publicado: (2021)

The Asian American Vote in 2020: Indicators of Turnout and Vote Choice
por: Chan, Nathan, et al.
Publicado: (2022)

Hard Voting Ensemble Approach for the Detection of Type 2 Diabetes in Mexican Population with Non-Glucose Related Features
por: Morgan-Benita, Jorge A., et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_qsggi4elasocccb0cs36viv8lu