Research graph
References from 3D mapping of particulate matter in the occupational environment via low-cost sensor network and machine learning. Local targets link to admitted publications; unresolved targets remain external evidence.
Exposure to respirable crystalline silica in the GB brick manufacturing and stone working industries
10.1093/annweh/wxy103 · 2019 · External reference
Influence of seasonal, technical, and lithological parameters on exposure to dust and crystalline silica in the French natural stone industry
2026 · External reference
Benchmarking low-cost particulate matter sensors: evaluating performance under controlled environmental conditions using low-cost experimental setups
10.3390/atmos16020172 · 2025 · External reference
Calibration of a low-cost particulate matter sensor using the decay method
10.1088/1742-6596/2942/1/012042 · 2025 · External reference
Laboratory evaluation of low-cost optical particle counters for environmental and occupational exposures
10.3390/s21124146 · 2021 · External reference
Study on calibration of low-cost particulate matter sensors for hydrophilic and hydrophobic particles under varying relative humidity
10.1007/s11869-025-01852-y · 2025 · External reference
Spatiotemporal mapping of occupational exposures to airborne chemical using a physics-informed neural network method with sparse observations
2025 · External reference
Mapping occupational hazards with a multi-sensor network in a heavy-vehicle manufacturing facility
10.1093/annweh/wxy111 · 2019 · External reference
Spatiotemporal distribution of indoor particulate matter concentration with a low-cost sensor network
10.1016/j.buildenv.2017.11.001 · 2018 · External reference
The use of moments for assessing air quality in ventilated rooms
10.1016/0360-1323(83)90026-4 · 1983 · External reference
A simple method using tracer gas to identify the main airflow and contaminant paths within a room
10.1111/j.1600-0668.1991.08-13.x · 1991 · External reference
Changes in aerosol concentration in a meeting room with a portable air cleaner - mapping fine particle concentrations
10.4209/aaqr.240087 · 2024 · External reference
Matplotlib: a 2D graphics environment
10.1109/mcse.2007.55 · 2007 · External reference
Unresolved reference
2015 · External reference
Theory of random forests: a review
10.1146/annurev-statistics-112723-034707 · 2026 · External reference
Unresolved reference
2008 · External reference
Fundamentals of recurrent neural network (RNN) and long short-term memory (LSTM) network
10.1016/j.physd.2019.132306 · 2020 · External reference
XGBoost: A scalable tree boosting system
2016 · External reference
Analyzing dispersion characteristics of fine particulate matter in high-density urban areas: a study using CFD simulation and machine learning
10.3390/land14030632 · 2025 · External reference
Evaluation of multi-output machine learning models for predicting inhaled particle deposition in the human upper and central airway
10.1016/j.powtec.2025.120924 · 2025 · External reference
Evaluation of supervised machine learning regression models for CFD-based surrogate modelling in indoor airflow field reconstruction
10.1016/j.buildenv.2024.112173 · 2025 · External reference
Prediction of ultrafine tailings backfill strength using the BO-XGBoost model
10.1016/j.powtec.2026.122176 · 2026 · External reference
Coupling of XGBoost ensemble methods and discrete element modelling in predicting autogenous grinding mill throughput
10.1016/j.powtec.2023.118480 · 2023 · External reference
Machine learning modeling using XGBoost and LightGBM for predicting the minimum ignition temperature of rice husk dust based on the synergistic effect of dispersion pressure and crushed brown rice
10.1016/j.powtec.2025.120682 · 2025 · External reference
Optuna: a next-generation hyperparameter optimization framework
2019 · External reference
Comparison of spatial interpolation techniques for innovative air quality monitoring systems
10.1016/j.rineng.2023.100937 · 2023 · External reference
Spatial interpolation techniques for innovative air quality monitoring systems
2021 · External reference
Unresolved reference
2025 · External reference
Unresolved reference
2020 · External reference
Performance evaluation of five different low-cost particulate matter sensors for monodisperse test aerosols
10.1007/s44408-025-00019-9 · 2025 · External reference
Particulate matter emissions and exposure assessment in stone carving: a study of controlled and real-world conditions
10.1016/j.powtec.2026.122242 · 2026 · External reference
Study on calibration of low-cost particulate matter sensors for hydrophilic and hydrophobic particles under varying relative humidity
10.1007/s11869-025-01852-y · ExternalCitation · doi-reference
Performance evaluation of five different low-cost particulate matter sensors for monodisperse test aerosols
10.1007/s44408-025-00019-9 · ExternalCitation · doi-reference
The use of moments for assessing air quality in ventilated rooms
10.1016/0360-1323(83)90026-4 · ExternalCitation · doi-reference
Spatiotemporal distribution of indoor particulate matter concentration with a low-cost sensor network
10.1016/j.buildenv.2017.11.001 · ExternalCitation · doi-reference
Evaluation of supervised machine learning regression models for CFD-based surrogate modelling in indoor airflow field reconstruction
10.1016/j.buildenv.2024.112173 · ExternalCitation · doi-reference
Fundamentals of recurrent neural network (RNN) and long short-term memory (LSTM) network
10.1016/j.physd.2019.132306 · ExternalCitation · doi-reference
Coupling of XGBoost ensemble methods and discrete element modelling in predicting autogenous grinding mill throughput
10.1016/j.powtec.2023.118480 · ExternalCitation · doi-reference
Machine learning modeling using XGBoost and LightGBM for predicting the minimum ignition temperature of rice husk dust based on the synergistic effect of dispersion pressure and crushed brown rice
10.1016/j.powtec.2025.120682 · ExternalCitation · doi-reference
Evaluation of multi-output machine learning models for predicting inhaled particle deposition in the human upper and central airway
10.1016/j.powtec.2025.120924 · ExternalCitation · doi-reference
Prediction of ultrafine tailings backfill strength using the BO-XGBoost model
10.1016/j.powtec.2026.122176 · ExternalCitation · doi-reference
Particulate matter emissions and exposure assessment in stone carving: a study of controlled and real-world conditions
10.1016/j.powtec.2026.122242 · ExternalCitation · doi-reference
Comparison of spatial interpolation techniques for innovative air quality monitoring systems
10.1016/j.rineng.2023.100937 · ExternalCitation · doi-reference
Calibration of a low-cost particulate matter sensor using the decay method
10.1088/1742-6596/2942/1/012042 · ExternalCitation · doi-reference
Exposure to respirable crystalline silica in the GB brick manufacturing and stone working industries
10.1093/annweh/wxy103 · ExternalCitation · doi-reference
Mapping occupational hazards with a multi-sensor network in a heavy-vehicle manufacturing facility
10.1093/annweh/wxy111 · ExternalCitation · doi-reference
Matplotlib: a 2D graphics environment
10.1109/mcse.2007.55 · ExternalCitation · doi-reference
A simple method using tracer gas to identify the main airflow and contaminant paths within a room
10.1111/j.1600-0668.1991.08-13.x · ExternalCitation · doi-reference
Theory of random forests: a review
10.1146/annurev-statistics-112723-034707 · ExternalCitation · doi-reference
Benchmarking low-cost particulate matter sensors: evaluating performance under controlled environmental conditions using low-cost experimental setups
10.3390/atmos16020172 · ExternalCitation · doi-reference
Analyzing dispersion characteristics of fine particulate matter in high-density urban areas: a study using CFD simulation and machine learning
10.3390/land14030632 · ExternalCitation · doi-reference
Laboratory evaluation of low-cost optical particle counters for environmental and occupational exposures
10.3390/s21124146 · ExternalCitation · doi-reference
Changes in aerosol concentration in a meeting room with a portable air cleaner - mapping fine particle concentrations
10.4209/aaqr.240087 · ExternalCitation · doi-reference
