Blar i NILU på tidsskrift "IEEE Access"

Viser treff 1-4 av 4

    • 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 ...

    • Image-Text Connection: Exploring the Expansion of the Diversity Within Joint Feature Space Similarity Score 

      Mohammadi, Mahsa; Eftekhari, Mahdi; Hassani, Amirhossein (Peer reviewed; Journal article, 2023)
      Cross-modal representation learning aims to learn a shared representation space where data from multiple modalities can be effectively compared, fused, and understood. This paper investigates the role of increased diversity ...

    • 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 ...

    • 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 ...