The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Predicting Occupant Thermal Comfort in Urban Landscape using Machine Learning (ML) and Artificial Neural Networks (ANNs) (AGU25)

Predicting Occupant Thermal Comfort in Urban Landscape using Machine Learning (ML) and Artificial Neural Networks (ANNs)

Md. Faisal Rahman Dhrubo1, Mohammad Nyme Uddin2, Md. Hasan1, Md Tafhimul Hasan1, Jobayer Hossain1, Hasibul Hasan Shawon1, G.M. Rahad1, Md. Hasibul Islam1 and Md. Iktekar Alam Imran1, (1)IUBAT—International University of Business Agriculture and Technology, Dhaka, Bangladesh, Department of Civil Engineering, College of Engineering and Technology, Dhaka, Bangladesh, (2)Hong Kong Polytechnic University, Department of Building and Real Estate, Kowloon, Hong Kong
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