On the public citation graph
Artificial neural networks model for predicting oxygen content in flue gas of power plant
0 signed · 13 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.applthermaleng.2015.07.036openalex-snapshot
Artificial Neural Networks model for predicting wall temperature of supercritical boilers
inferredcites →https://doi.org/10.1016/j.asoc.2009.08.025openalex-snapshot
Weighted least squares support vector machine local region method for nonlinear time series prediction
inferredcites →https://doi.org/10.1016/j.eswa.2011.09.137openalex-snapshot
Least squares support vector machines with tuning based on chaotic differential evolution approach applied to the identification of a thermal process
inferredcites →https://doi.org/10.1016/j.isatra.2013.12.033openalex-snapshot
Data-driven modeling and predictive control for boiler–turbine unit using fuzzy clustering and subspace methods
inferredcites →https://doi.org/10.1016/j.jprocont.2013.06.004openalex-snapshot
Nonlinear fuzzy model predictive iterative learning control for drum-type boiler–turbine system
inferredcites →https://doi.org/10.1016/j.neucom.2014.03.037openalex-snapshot
A robust least squares support vector machine for regression and classification with noise
inferredcites →https://doi.org/10.1016/j.neucom.2015.05.034openalex-snapshot
Novel approaches using evolutionary computation for sparse least square support vector machines
inferredcites →https://doi.org/10.2355/isijinternational.54.1836openalex-snapshot
Two-stage Particle Swarm Optimization-based Nonlinear Model Predictive Control Method for Reheating Furnace Process
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4462625openalex-extracted
Multivariate Time Series Prediction for Co2 Concentration and Flue Gas Flowrate from Biomass-Fired Power Plant
inferred← citeshttps://doi.org/10.1007/s00521-022-07771-8openalex-snapshot
Soft sensor for the prediction of oxygen content in boiler flue gas using neural networks and extreme gradient boosting
inferred← citeshttps://doi.org/10.1109/tim.2021.3058367openalex-snapshot
Prediction of Oxygen Content Using Weighted PCA and Improved LSTM Network in MSWI Process
inferred← citeshttps://doi.org/10.3390/en18040820openalex-snapshot
Artificial Intelligence-Driven Approach to Optimizing Boiler Power Generation Efficiency: The Advanced Boiler Combustion Control Model
inferred← citeshttps://doi.org/10.3390/s24072340openalex-snapshot
A Hybrid Soft Sensor Model for Measuring the Oxygen Content in Boiler Flue Gas
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.