On the public citation graph

Rapid monitoring of indoor air quality for efficient HVAC systems using fully convolutional network deep learning model

https://doi.org/10.1016/j.buildenv.2023.110191

0 signed · 94 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.

Claim with ORCID

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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00521-019-04436-xopenalex-snapshot

Functional iterative approaches for solving support vector classification problems based on generalized Huber loss

inferredcites →https://doi.org/10.1007/s10845-018-1456-1openalex-snapshot

Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation

inferredcites →https://doi.org/10.1007/s11947-018-2086-5openalex-snapshot

Experimental and Numerical Investigation of Airflow Inside Refrigerated Shipping Containers

inferredcites →https://doi.org/10.1007/s12273-017-0410-zopenalex-snapshot

Ventilation and energy performance of partitioned indoor spaces under mixing and displacement ventilation

inferredcites →https://doi.org/10.1007/s12273-020-0664-8openalex-snapshot

Comparison of different deep neural network architectures for isothermal indoor airflow prediction

inferredcites →https://doi.org/10.1016/j.apenergy.2015.10.096openalex-snapshot

Computational fluid dynamics (CFD) modelling of air flow field, mean age of air and CO2 distributions inside a bedroom with different heights of conditioned air supply outlet

inferredcites →https://doi.org/10.1016/j.applthermaleng.2019.114289openalex-snapshot

Heat dissipation optimization of lithium-ion battery pack based on neural networks

inferredcites →https://doi.org/10.1016/j.buildenv.2004.03.011openalex-snapshot

Airflow modelling in a computer room

inferredcites →https://doi.org/10.1016/j.buildenv.2006.04.024openalex-snapshot

Estimating natural-ventilation potential considering both thermal comfort and IAQ issues

inferredcites →https://doi.org/10.1016/j.buildenv.2010.08.013openalex-snapshot

The impact of temperature on mean local air age and thermal comfort in a stratum ventilated office

inferredcites →https://doi.org/10.1016/j.buildenv.2020.107265openalex-snapshot

Performance analysis of a hybrid ventilation system in a near zero energy building

inferredcites →https://doi.org/10.1016/j.buildenv.2021.108164openalex-snapshot

Learning-based CO2 concentration prediction: Application to indoor air quality control using demand-controlled ventilation

inferredcites →https://doi.org/10.1016/j.buildenv.2021.108315openalex-snapshot

Deep learning to replace, improve, or aid CFD analysis in built environment applications: A review

inferredcites →https://doi.org/10.1016/j.buildenv.2022.108831openalex-snapshot

A review of different ventilation modes on thermal comfort, air quality and virus spread control

inferredcites →https://doi.org/10.1016/j.cej.2021.128936openalex-snapshot

A computational workflow to study particle transport and filtration in porous media: Coupling CFD and deep learning

inferredcites →https://doi.org/10.1016/j.chaos.2020.110294openalex-snapshot

A novel CFD analysis to minimize the spread of COVID-19 virus in hospital isolation room

inferredcites →https://doi.org/10.1016/j.cma.2020.113452openalex-snapshot

Hierarchical Deep Learning Neural Network (HiDeNN): An artificial intelligence (AI) framework for computational science and engineering

inferredcites →https://doi.org/10.1016/j.cmpb.2018.04.005openalex-snapshot

Deep learning for healthcare applications based on physiological signals: A review

inferredcites →https://doi.org/10.1016/j.enbuild.2011.04.015openalex-snapshot

Mean age of air in a naturally ventilated office: Experimental data and simulations

inferredcites →https://doi.org/10.1016/j.enbuild.2015.11.037openalex-snapshot

Indoor air quality and energy management through real-time sensing in commercial buildings

inferredcites →https://doi.org/10.1016/j.enbuild.2020.110533openalex-snapshot

The design of safe classrooms of educational buildings for facing contagions and transmission of diseases: A novel approach combining audits, calibrated energy models, building performance (BPS) and computational fluid dynamic (CFD) simulations

inferredcites →https://doi.org/10.1016/j.enbuild.2021.111106openalex-snapshot

Performance of neural network for indoor airflow prediction: Sensitivity towards weight initialization

inferredcites →https://doi.org/10.1016/j.enconman.2013.10.023openalex-snapshot

A review of different strategies for HVAC energy saving

inferredcites →https://doi.org/10.1016/j.enconman.2018.10.008openalex-snapshot

A novel framework for wind speed prediction based on recurrent neural networks and support vector machine

inferredcites →https://doi.org/10.1016/j.enconman.2019.111799openalex-snapshot

A review of deep learning for renewable energy forecasting

inferredcites →https://doi.org/10.1016/j.enconman.2020.112711openalex-snapshot

Exergy-wise predictive control framework for optimal performance of MicroCSP systems for HVAC applications in buildings

inferredcites →https://doi.org/10.1016/j.envres.2020.110471openalex-snapshot

Indoor Air Quality: Rethinking rules of building design strategies in post-pandemic architecture

inferredcites →https://doi.org/10.1016/j.finel.2021.103572openalex-snapshot

A machine learning-based surrogate model for optimization of truss structures with geometrically nonlinear behavior

inferredcites →https://doi.org/10.1016/j.ijheatmasstransfer.2021.122236openalex-snapshot

Noncontact thermal mapping method based on local temperature data using deep neural network regression

inferredcites →https://doi.org/10.1016/j.ijheatmasstransfer.2021.122383openalex-snapshot

Data-driven temperature estimation of non-contact solids using deep-learning reduced-order models

inferredcites →https://doi.org/10.1016/j.isprsjprs.2019.03.015openalex-snapshot

A new fully convolutional neural network for semantic segmentation of polarimetric SAR imagery in complex land cover ecosystem

inferredcites →https://doi.org/10.1016/j.jfoodeng.2008.06.014openalex-snapshot

Computational fluid dynamics (CFD) modelling of local mean age of air distribution in forced-ventilation food plants

inferredcites →https://doi.org/10.1016/j.jobe.2020.101966openalex-snapshot

Effects of ceiling exhaust location on thermal comfort and age of air in room under impinging jet supply scheme

inferredcites →https://doi.org/10.1016/j.jobe.2022.105067openalex-snapshot

Model predictive control of heating, ventilation, and air conditioning (HVAC) systems: A state-of-the-art review

inferredcites →https://doi.org/10.1016/j.measurement.2021.110589openalex-snapshot

A CNN-based regression framework for estimating coal ash content on microscopic images

inferredcites →https://doi.org/10.1016/j.neucom.2017.04.018openalex-snapshot

An efficient instance selection algorithm for k nearest neighbor regression

inferredcites →https://doi.org/10.1016/j.neucom.2020.12.133openalex-snapshot

HELP: An LSTM-based approach to hyperparameter exploration in neural network learning

inferredcites →https://doi.org/10.1016/j.neucom.2021.04.047openalex-snapshot

Adaptive sparse dropout: Learning the certainty and uncertainty in deep neural networks

inferredcites →https://doi.org/10.1016/j.patcog.2016.10.003openalex-snapshot

Hierarchical deep neural network for multivariate regression

inferredcites →https://doi.org/10.1016/j.scs.2022.104095openalex-snapshot

The study of air distribution quality in the summer section of Iranian dry climate houses equipped with wind tower

inferredcites →https://doi.org/10.1038/s41598-021-00210-zopenalex-snapshot

Research on time series characteristics of the gas drainage evaluation index based on lasso regression

inferredcites →https://doi.org/10.1093/bib/bbx044openalex-snapshot

Deep learning for healthcare: review, opportunities and challenges

inferredcites →https://doi.org/10.1109/access.2020.3044949openalex-snapshot

DNN-Based Surrogate Modeling-Based Feasible Performance Reliability Design Methodology for Aircraft Engine

inferredcites →https://doi.org/10.1109/access.2022.3194267openalex-snapshot

Deep Neural Network-Based Surrogate Model for Optimal Component Sizing of Power Converters Using Deep Reinforcement Learning

inferredcites →https://doi.org/10.1109/lgrs.2019.2901592openalex-snapshot

Semantic Segmentation of Remote Sensing Images Using Multiscale Decoding Network

inferredcites →https://doi.org/10.1109/tim.2022.3161693openalex-snapshot

Deep Learning-Enabled High-Resolution and Fast Sound Source Localization in Spherical Microphone Array System

inferredcites →https://doi.org/10.1109/tits.2020.3009223openalex-snapshot

Deep Learning Based Autonomous Vehicle Super Resolution DOA Estimation for Safety Driving

inferredcites →https://doi.org/10.1109/tsg.2019.2930299openalex-snapshot

Intelligent Multi-Microgrid Energy Management Based on Deep Neural Network and Model-Free Reinforcement Learning

inferredcites →https://doi.org/10.3390/app10051730openalex-snapshot

Mean Age of Air in Natural Ventilated Buildings: Experimental Evaluation and CO2 Prediction by Artificial Neural Networks

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.4670117openalex-extracted

Intelligent Algorithms for Automated Control of Biotechnical Objects in Conditions of Uncertainty

inferred← citeshttps://doi.org/10.1002/aisy.202300711openalex-snapshot

Utilization of Machine Learning Techniques in Hot‐Film Based Airflow Rate Sensors for Improving Flow Measurement

inferred← citeshttps://doi.org/10.1002/aisy.202500364openalex-snapshot

Rapid and Precise Geometric Measurement of Injection‐Molded Axial Fans Using Convolutional Neural Network Regression

inferred← citeshttps://doi.org/10.1007/s12273-023-1083-4openalex-snapshot

Deep learning to develop zero-equation based turbulence model for CFD simulations of the built environment

inferred← citeshttps://doi.org/10.1016/j.buildenv.2024.111237openalex-snapshot

A new double-skin façade system integrated with polyurethane sponges and TiO2 plates for removing indoor PM and BTEX

inferred← citeshttps://doi.org/10.1016/j.buildenv.2024.111349openalex-snapshot

How to measure and control indoor air quality based on intelligent digital twin platforms: A case study in China

inferred← citeshttps://doi.org/10.1016/j.buildenv.2024.112229openalex-snapshot

Machine Learning to speed up Computational Fluid Dynamics engineering simulations for built environments: A review

inferred← citeshttps://doi.org/10.1016/j.buildenv.2025.112856openalex-snapshot

A deep convolutional generative adversarial network (DCGAN) for the fast estimation of pollutant dispersion fields in indoor environments

inferred← citeshttps://doi.org/10.1016/j.buildenv.2025.112874openalex-snapshot

Integrating experimental analysis and machine learning for enhancing energy efficiency and indoor air quality in educational buildings

inferred← citeshttps://doi.org/10.1016/j.buildenv.2025.112963openalex-snapshot

Graph-based spatial–temporal prediction and feature interaction analysis of CO 2 and occupant in large indoor space

inferred← citeshttps://doi.org/10.1016/j.buildenv.2025.113667openalex-snapshot

Machine learning as CFD surrogate models for rapid prediction of building-related physical fields: A review of methods and state-of-the-art

inferred← citeshttps://doi.org/10.1016/j.buildenv.2026.114968openalex-snapshot

AI-driven HVAC control optimisation for enhancing energy efficiency and indoor environmental quality: A review of recent advances and emerging approaches

inferred← citeshttps://doi.org/10.1016/j.cej.2024.157997openalex-snapshot

CFD analysis of microscopic particle separation in low-volumetric classifiers: DPM tracking and experimental validation for enhanced efficiency using geometric modification strategy

inferred← citeshttps://doi.org/10.1016/j.dajour.2024.100416openalex-snapshot

Design and development of intelligent control strategies and algorithms for automated control of biotechnical objects under uncertainty

inferred← citeshttps://doi.org/10.1016/j.envpol.2024.124040openalex-snapshot

Daily scale air quality index forecasting using bidirectional recurrent neural networks: Case study of Delhi, India

inferred← citeshttps://doi.org/10.1016/j.envres.2023.116365openalex-snapshot

An AQI decomposition ensemble model based on SSA-LSTM using improved AMSSA-VMD decomposition reconstruction technique

inferred← citeshttps://doi.org/10.1016/j.icheatmasstransfer.2026.110616openalex-snapshot

Machine learning approach for multi-parameter performance estimations of EC fan coil units using heating tentative database

inferred← citeshttps://doi.org/10.1016/j.ijft.2023.100497openalex-snapshot

CFD elucidation of microscopic particles in a low-volumetric classifier towards effects of Stokes number and density ratio

inferred← citeshttps://doi.org/10.1016/j.jobe.2024.108953openalex-snapshot

Data-driven approach enabling post-operation evaluation of air conditioning performance regarding thermal conditions attained indoors

inferred← citeshttps://doi.org/10.1016/j.jobe.2025.112581openalex-snapshot

Towards the use of data-driven methods for indoor airflow field reconstruction: A systematic review

inferred← citeshttps://doi.org/10.1016/j.mseb.2026.119670openalex-snapshot

Heterointerface-controlled charge modulation in Polypyrrole/TiO2 nanocomposites for low-ppm CO2 detection at room temperature

inferred← citeshttps://doi.org/10.1016/j.tust.2025.107299openalex-snapshot

Transfer learning-informed sensor validation for detecting and diagnosing unseen air quality faults in underground building environment

inferred← citeshttps://doi.org/10.1021/acs.estlett.3c00636openalex-snapshot

Indoor Air Quality in Urban India: Current Status, Research Gap, and the Way Forward

inferred← citeshttps://doi.org/10.1061/joeedu.eeeng-7929openalex-snapshot

A Brief Outline of Indoor Air Quality: Monitoring, Modeling, and Impacts

inferred← citeshttps://doi.org/10.1109/access.2024.3467989openalex-snapshot

Quality Improvement of Cigarette Manufacturing Process Driven by Deep Learning: Application of Wasserstein Distance Algorithm

inferred← citeshttps://doi.org/10.1109/iccea62105.2024.10603493openalex-snapshot

Research on the design of indoor air quality monitoring system based on cloud-side-end collaboration

inferred← citeshttps://doi.org/10.1109/tii.2024.3441653openalex-snapshot

A Lightweight Air Quality Monitoring Method Based on Multiscale Dilated Convolutional Neural Network

inferred← citeshttps://doi.org/10.1155/2023/3889951openalex-snapshot

Prediction of Equivalence Ratio in Combustion Flame Using Chemiluminescence Emission and Deep Neural Network

inferred← citeshttps://doi.org/10.1155/er/3878472openalex-snapshot

Rapid Prediction of Local Mean Age of Air for Energy‐Efficient Ventilation Systems Using Permutation Feature Importance

inferred← citeshttps://doi.org/10.1155/ina/1125427openalex-snapshot

Ventilation and Air Quality of a Densely Occupied Multipurpose Room in an Elderly Care Center

inferred← citeshttps://doi.org/10.1155/ina/9243817openalex-snapshot

Indoor Environmental Quality Prediction Using Hybrid Deep Learning and a Comprehensive Environment Index

inferred← citeshttps://doi.org/10.1371/journal.pone.0310101openalex-snapshot

Multi-gas pollutant detection based on sparrow search algorithm optimized ALSTM-FCN

inferred← citeshttps://doi.org/10.2139/ssrn.7155407openalex-snapshot

A Fourier Neural Operator Framework for Indoor Contaminant Transport Prediction and Source Localization

inferred← citeshttps://doi.org/10.30955/gnj.06937openalex-snapshot

Air pollution monitoring system using stacked attentional vectormap convolutional bidirectional network with bobcat optimization and IoT-cloud

inferred← citeshttps://doi.org/10.3390/a18120783openalex-snapshot

Statistical and Machine Learning Models for Air Quality: A Systematic Review of Methods and Challenges

inferred← citeshttps://doi.org/10.3390/app14010326openalex-snapshot

Investigation of Laser Ablation Quality Based on Data Science and Machine Learning XGBoost Classifier

inferred← citeshttps://doi.org/10.3390/buildings16132562openalex-snapshot

Physics-Informed Neural Networks for Urban and Building Thermal Environment Modeling: A Review of Evolution, Workflows, and Prospects

inferred← citeshttps://doi.org/10.3390/electronics13030485openalex-snapshot

A Job Recommendation Model Based on a Two-Layer Attention Mechanism

inferred← citeshttps://doi.org/10.3390/en16166087openalex-snapshot

Impact of Green Energy Transportation Systems on Urban Air Quality: A Predictive Analysis Using Spatiotemporal Deep Learning Techniques

inferred← citeshttps://doi.org/10.3390/en17010243openalex-snapshot

Machine Learning-Based Indoor Relative Humidity and CO2 Identification Using a Piecewise Autoregressive Exogenous Model: A Cob Prototype Study

inferred← citeshttps://doi.org/10.3390/rs17162753openalex-snapshot

Enhancing Hyperlocal Wavelength-Resolved Solar Irradiance Estimation Using Remote Sensing and Machine Learning

inferred← citeshttps://doi.org/10.3390/s23104857openalex-snapshot

Cyber-Enabled Optimization of HVAC System Control in Open Space of Office Building

inferred← citeshttps://doi.org/10.3390/s24227304openalex-snapshot

Causality-Driven Feature Selection for Calibrating Low-Cost Airborne Particulate Sensors Using Machine Learning

inferred← citeshttps://doi.org/10.3390/standards6020016openalex-snapshot

ISO 16000-8 and Ventilation Performance: A Critical Review

inferred← citeshttps://doi.org/10.3390/su17062342openalex-snapshot

Beyond Sustainability: The Role of Regenerative Design in Optimizing Indoor Environmental Quality

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.