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Sevda Aliparast and Sermin Onaygil
In this field study, we examined the impact of human-centered lighting on an open-plan office environment, involving the participation of sixty office workers. The objective was to investigate the effects of the Circadian Stimulus (CS) and Equivalent Mel...
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Jiawei Zhu, Bo Li, Hao Ouyang, Yuhan Wang and Ziyue Bai
Walking exercise is a prevalent physical activity in urban areas, with streetscapes playing a significant role in shaping preferences. Understanding this influence is essential for creating urban environments conducive to walking exercise and improving r...
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Cai Wu, Yanwen Wang, Jiong Wang, Menno-Jan Kraak and Mingshu Wang
This study introduces a machine learning-based framework for mapping street patterns in urban morphology, offering an objective, scalable approach that transcends traditional methodologies. Focusing on six diverse cities, the research employed supervised...
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Hee Sun Choi, Gerhard Bruyns, Wang Zhang, Tian Cheng and Saijal Sharma
Numerous studies have shown that the emotional wellbeing of urban populations is influenced by various aspects of urban development, such as social factors and the presence of walkable areas and green spaces. However, there is a lack of research that clo...
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Shuxiao Wang, Jianping Zhao, Lixiong Wang, Wenye Hu and Fanfang Yan
The pupillary light reflex, which has been seen as an important noninvasive and objective indicator of autonomic nervous system function, can be used for evaluating the impact of different lighting conditions in buildings on circadian behaviors, assessin...
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Shahab Saquib Sohail, Asfia Aziz, Rashid Ali, Syed Hamid Hasan, Dag Øivind Madsen and M. Afshar Alam
In this paper, we propose an approach to recommender systems that incorporates human-centric aggregation via Ordered Weighted Aggregation (OWA) to prioritize the suggestions of expert rankers over the usual recommendations. We advocate for ranked recomme...
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Jingchun Shen, Yang Chen and Karthik Hejamadi Rajagopal
The COVID-19 pandemic has catalyzed global efforts toward transitioning to a sustainable society, driving rapid innovation in building technologies, working practices, building design, and whole life cycle environmental impact consideration. In this purs...
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Hayat Ullah and Arslan Munir
The recognition of human activities using vision-based techniques has become a crucial research field in video analytics. Over the last decade, there have been numerous advancements in deep learning algorithms aimed at accurately detecting complex human ...
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Anirban Chowdhury and Rithvik Ramadas
Insect swarms and migratory birds are known to exhibit something known as a hive mind, collective consciousness, and herd mentality, among others. This has inspired a whole new stream of robotics known as swarm intelligence, where small-sized robots perf...
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Jo?e Ro?anec, Elena Trajkova, Inna Novalija, Patrik Zajec, Klemen Kenda, Bla? Fortuna and Dunja Mladenic
Artificial intelligence models are increasingly used in manufacturing to inform decision making. Responsible decision making requires accurate forecasts and an understanding of the models? behavior. Furthermore, the insights into the models? rationale ca...
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