Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Dimitris Bousiotis is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Enhancing Urban PM2.5 Predictions: An Innovative Machine Learning Approach to Address Data Gaps
Baruah, A., Bousiotis, D., Damayanti, S., Bigi, A., Ghermandi, G., Harrison, R. M. & Pope, F. D., 8 Mar 2024, EGU General Assembly 2024. EGUsphere, EGU24-6448Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Investigating Indoor Air Pollution Sources and Student’s Exposure Within School Classrooms: Using a Low-Cost Sensor and Source Apportionment Approach
Rose, O. G., Bousiotis, D., Rathbone, C. & Pope, F. D., 23 Sept 2024, In: Indoor Air. 2024, 5544298.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Constructing a pollen proxy from low-cost Optical Particle Counter (OPC) data processed with Neural Networks and Random Forests
Mills, S. A., Bousiotis, D., Maya-Manzano, J. M., Tummon, F., MacKenzie, A. R. & Pope, F. D., 1 May 2023, In: Science of the Total Environment. 871, 13 p., 161969.Research output: Contribution to journal › Article › peer-review
Open AccessFile107 Downloads (Pure) -
Constructing a pollen proxy from low-cost Optical Particle Counter (OPC) data processed with Neural Networks and Random Forests
Mills, S., Bousiotis, D., Maya-Manzano, J., Tummon, F., MacKenzie, A. R. & Pope, F., 1 May 2023, In: Science of the Total Environment. 871, 13 p., 161969.Research output: Contribution to journal › Article › peer-review
Open AccessFile56 Downloads (Pure) -
Monitoring and Apportioning Sources of Indoor Air Quality Using Low-Cost Particulate Matter Sensors
Bousiotis, D., Alconcel, L. S., Beddows, D., Harrison, R. & Pope, F., 1 Apr 2023, In: Environment International. 174, 16 p., 107907.Research output: Contribution to journal › Article › peer-review
Open AccessFile106 Downloads (Pure)
Datasets
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Research data supporting "Using low-cost sensors to assess common air pollution sources across multiple residences"
Rathbone, C. J. (Creator), Bousiotis, D. (Creator), Rose, O. (Creator) & Pope, F. (Creator), University of Birmingham, 3 Nov 2023
DOI: https://doi.org/10.25500/edata.bham.00001018
Dataset
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Research data supporting "Low-cost source apportionment of indoor particulate matter in an educational institution"
Rose, O. (Creator), Pope, F. (Creator), Rathbone, C. J. (Contributor) & Bousiotis, D. (Data Manager), University of Birmingham, 25 Jan 2024
DOI: https://doi.org/10.25500/edata.bham.00001050
Dataset
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Low-cost sensor data for source apportionment
Pope, F. (Creator), Bousiotis, D. (Creator) & Allison, G. (Contributor), University of Birmingham, 29 Mar 2022
DOI: 10.25500/edata.bham.00000811
Dataset
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Data for the mobile source apportionment campaign
Bousiotis, D. (Creator) & Pope, F. (Creator), University of Birmingham, 12 Jan 2024
DOI: https://doi.org/10.25500/edata.bham.00001029
Dataset
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Research data supporting "Monitoring and apportioning sources of indoor air quality using low-cost particulate matter sensors"
Pope, F. (Creator) & Bousiotis, D. (Creator), University of Birmingham, 5 Dec 2022
DOI: https://doi.org/10.25500/edata.bham.00000893
Dataset