Events3rd Conference on Future Challenges in Sustainable Urban Planning & Territorial Management
Event submissions
Published
This submission belongs to the session EP. Environmental Planning of the event 3rd Conference on Future Challenges in Sustainable Urban Planning & Territorial Management
Published date
19 Jan, 2026
Academic Editor
author-avatarSalvador Garcia-Ayllon
Citation
Md. Mashnur Hossain Pobon, Md. Faisal Rahman Dhrubo, Maisha Mahmud, Ramisa Anjum, Predicting Lobby Location as an Indicator of Occupant Comfort: A Machine Learning (ML) Approach, in Proceedings of 3rd Conference on Future Challenges in Sustainable Urban Planning & Territorial Management, 20 January–22 January 2026, MDPI: Basel, Switzerland
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Predicting Lobby Location as an Indicator of Occupant Comfort: A Machine Learning (ML) Approach

Md. Mashnur Hossain Pobon 1
Md. Faisal Rahman Dhrubo 1
Maisha Mahmud 2
Ramisa Anjum 2
1. Department of Civil Engineering, IUBAT-International University of Business Agriculture and Technology, Dhaka/1230, Bangladesh
2. Department of Agriculture, IUBAT-International University of Business Agriculture and Technology, Dhaka/1230, Bangladesh
Abstract
Keywords
Hospital lobby
Evidence-based guidance
Occupant comfort
Machine learning