Correction: Highly Accurate Prediction of Flammability Limits of Chemical Compounds Using Novel Integrated Hybrid Models

PLoS ONE - United States
doi 10.1371/journal.pone.0229780
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Public Library of Science (PLoS)

Related search

Hybrid Models Using Unsupervised Clustering for Prediction of Customer Churn

Journal of Organizational Computing and Electronic Commerce
Computational TheoryComputer Science ApplicationsInformation SystemsMathematics
2009English

Novel Approaches for Air Temperature Prediction: Comparison of Four Hybrid Evolutionary Fuzzy Models

Meteorological Applications
Atmospheric Science
2019English

Learning Equipment for the Flammability Limits of Liquefied Petroleum Gas

American Journal of Applied Sciences
Multidisciplinary
2012English

Quantitative Prediction of Antitarget Interaction Profiles for Chemical Compounds

Chemical Research in Toxicology
MedicineToxicology
2012English

Hybrid Semantic Recommender System for Chemical Compounds

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2020English

Prediction of Skin Permeation by Chemical Compounds Using the Artificial Membrane, Strat-M™

European Journal of Pharmaceutical Sciences
Pharmaceutical Science
2015English

Atom Table Convolutional Neural Networks for an Accurate Prediction of Compounds Properties

npj Computational Materials
Mechanics of MaterialsMaterials ScienceSimulationComputer Science ApplicationsModeling
2019English

Accurate Structure Prediction of Peptide–MHC Complexes for Identifying Highly Immunogenic Antigens

Molecular Immunology
ImmunologyMolecular Biology
2013English

Flame Propagation in the Channel and Flammability Limits

Fire Safety Science
1991English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy