• Accurate Lightweight Calibration Methods for Mobile Low-Cost Particulate Matter Sensors 

      Jørstad, Per Martin; Wojcikowski, Marek; Cao, Tuan-Vu; Lepioufle, Jean-Marie; Wojtkiewicz, Krystian; Ha, Hoai Phuong (Chapter, 2023)
    • Comparative Analysis of Deep Learning and Statistical Models for Air Pollutants Prediction in Urban Areas 

      Naz, Fareena; McCann, Conor; Fadim, Muhammad; Cao, Tuan-Vu; Hunter, Ruth; Nguyen, Trung Viet; Nguyen, Long D.; Duong, Trung Q. (Peer reviewed; Journal article, 2023)
      Rapid growth in urbanization and industrialization leads to an increase in air pollution and poor air quality. Because of its adverse effects on the natural environment and human health, it’s been declared a “silent public ...
    • Data fusion of sparse, heterogeneous, and mobile sensor devices using adaptive distance attention 

      Lepioufle, Jean-Marie; Schneider, Philipp; Hamer, Paul David; Ødegård, Rune Åvar; Vallejo, Islen; Cao, Tuan-Vu; Taherkordi, Amirhosein; Wojcikowski, Marek (Peer reviewed; Journal article, 2024)
      In environmental science, where information from sensor devices are sparse, data fusion for mapping purposes is often based on geostatistical approaches. We propose a methodology called adaptive distance attention that ...
    • Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines 

      Fahim, Muhammad; Sharma, Vishal; Cao, Tuan-Vu; Canberk, Berk; Duong, Trung Q. (Peer reviewed; Journal article, 2022)
      Wind turbines are one of the primary sources of renewable energy, which leads to a sustainable and efficient energy solution. It does not release any carbon emissions to pollute our planet. The wind farms monitoring and ...
    • A surrogate-assisted measurement correction method for accurate and low-cost monitoring of particulate matter pollutants 

      Wojcikowski, Marek; Pankiewicz, Bogdan; Bekasiewicz, Adrian; Cao, Tuan-Vu; Lepioufle, Jean-Marie; Vallejo, Islen; Ødegård, Rune Åvar; Ha, Hoai Phuong (Peer reviewed; Journal article, 2022)
      Air pollution involves multiple health and economic challenges. Its accurate and low-cost monitoring is important for developing services dedicated to reduce the exposure of living beings to the pollution. Particulate ...
    • Two Stage Feature Engineering to Predict Air Pollutants in Urban Areas 

      Naz, Fareena; Fahim, Muhammad; Cheema, Adnan Ahmad; Nguyen, Trung Viet; Cao, Tuan-Vu; Hunter, Ruth; Duong, Trung Q. (Peer reviewed; Journal article, 2024)
      Air pollution is a global challenge to human health and the ecological environment. Identifying the relationship among pollutants, their fundamental sources and detrimental effects on health and mental well-being is critical ...
    • Two Stage Feature Engineering to Predict Air Pollutants in Urban Areas 

      Naz, Fareena; Fahim, Muhammad; Cheema, Adnan Ahmad; Nguyen, Trung Viet; Cao, Tuan-Vu; Hunter, Ruth; Duong, Trung Q. (Peer reviewed; Journal article, 2024)
      Air pollution is a global challenge to human health and the ecological environment. Identifying the relationship among pollutants, their fundamental sources and detrimental effects on health and mental well-being is critical ...