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The redshift dependence of the cosmic microwave background temperature is one of the key cosmological observables. In the standard cosmological model one has $T(z)=T_0(1+z)$, where $T_0$ is the present-day temperature. Deviations from this…

Cosmology and Nongalactic Astrophysics · Physics 2016-03-02 A. Avgoustidis , R. T. Génova-Santos , G. Luzzi , C. J. A. P. Martins

Continental-scale knowledge of subsurface temperature is limited by the cost and sparsity of borehole measurements, but such information is essential for geothermal resource assessment and for understanding heat transport in the shallow…

Most people spend up to 90 % of their time indoors. However, literature in the field of facility management and related disciplines mostly focus on energy and cost saving aspects of buildings. Especially in the area of commercial buildings,…

Human-Computer Interaction · Computer Science 2020-04-08 Svenja Laing , Niklas Kühl

The thermal characterisation of a building envelope is usually best performed from on site measurements with controlled heating power set points. Occupant-friendly measurement conditions provide on the contrary less informative data.…

The commercial vitality of community-scale streets in Chinese cities is shaped by complex interactions between vehicular accessibility, environmental quality, and pedestrian perception. This study proposes an interpretable, image-based…

Computation and Language · Computer Science 2025-06-06 HaoTian Lan

Different social backgrounds and planning policies give rise to diverse urban morphologies. These morphologies influence urban microclimate factors and contribute to the formation of unique local microclimates, particularly in terms of…

Human-Computer Interaction · Computer Science 2023-10-17 Yan Xiang , Danni Chang , Jieli Cheng

A new type of integrated temperature and humidity sensor applying LTCC-technology has been developed and characterized. In this approach, sensing elements are implemented using heated metal resistors (Pt-elements), where one is exposed to…

Other Computer Science · Computer Science 2008-02-22 W. Smetana , M. Unger

Urban Building Energy Modeling (UBEM) is an emerging method to investigate urban design and energy systems against the increasing energy demand at urban and neighborhood levels. However, current UBEM methods are mostly physic-based and…

Machine Learning · Statistics 2023-12-06 Ting-Yu Dai , Dev Niyogi , Zoltan Nagy

Using the APEX-12m telescope, continuum maps at 350~$\mu$m of eight gas-dust clouds from the southern hemisphere are obtained. Clouds are associated with the regions of massive star and star cluster formation and have dense cores. Core…

Astrophysics of Galaxies · Physics 2023-01-12 L. E. Pirogov

Urbanization as a global trend has led to many environmental challenges, including the urban heat island (UHI) effect. The increase in temperature has a significant impact on the well-being of urban residents. Air temperature ($T_a$) at 2m…

Computer Vision and Pattern Recognition · Computer Science 2024-12-19 Siyang Dai , Jun Liu , Ngai-Man Cheung

Urban planners and policy makers face the challenge of creating livable and enjoyable cities for larger populations in much denser urban conditions. While the urban microclimate holds a key role in defining the quality of urban spaces today…

Machine Learning · Computer Science 2021-10-07 Sarah Mokhtar , Matthew Beveridge , Yumeng Cao , Iddo Drori

The Internet of Things is arriving to our homes or cities through fields already known like Smart Homes, Smart Cities, or Smart Towns. The monitoring of environmental conditions of cities can help to adapt the indoor locations of the cities…

In recent years, the importance of accurate weather forecasting has become increasingly prominent due to the impacts of global climate change and the rapid development of data science. Traditional forecasting methods often struggle to…

Machine Learning · Computer Science 2024-12-12 Jiajiang Shen , Weiyan Wu , Qianyu Xu

Atmospheric retrievals (AR) of exoplanets typically rely on a combination of a Bayesian inference technique and a forward simulator to estimate atmospheric properties from an observed spectrum. A key component in simulating spectra is the…

Instrumentation and Methods for Astrophysics · Physics 2023-12-20 Timothy D. Gebhard , Daniel Angerhausen , Björn S. Konrad , Eleonora Alei , Sascha P. Quanz , Bernhard Schölkopf

Extreme heat is a growing threat to both individual livelihoods and broader economies, killing a growing number of people each year as temperatures rise in many parts of the world and limiting productivity. Many studies document the link…

Physics and Society · Physics 2025-03-06 Andrew Renninger , Olena Holubowska , Paul Blanchard

Indoor thermal comfort immensely impacts the health and performance of occupants. Therefore, researchers and engineers have proposed numerous computational models to estimate thermal comfort (TC). Given the impetus toward energy efficiency,…

Machine Learning · Computer Science 2022-04-27 Betty Lala , Hamada Rizk , Srikant Manas Kala , Aya Hagishima

Predominant thermal comfort provision technologies are energy-hungry, and yet they perform crudely because they overlook the requisite precursors to thermal comfort. They also fail to exclusively cool or heat the parts of the body (e.g.,…

Human-Computer Interaction · Computer Science 2020-01-01 Kizito Nkurikiyeyezu , Anna Yokokubo , Guillaume Lopez

Pavement-watering has been studied since the 1990's and is currently considered a promising tool for urban heat island reduction and climate change adaptation. However, possible future water resource availability problems require that water…

Physics and Society · Physics 2015-05-28 Martin Hendel , Morgane Colombert , Youssef Diab , Laurent Royon

This paper presents an Adaptive Dynamic Attribute and Rule (ADAR) framework designed to address the challenges posed by high-dimensional data in neuro-fuzzy inference systems. By integrating dual weighting mechanisms-assigning adaptive…

Artificial Intelligence · Computer Science 2025-04-29 Ke Liu , Jing Ma , Edmund M-K Lai

Temperature is a hallmark parameter influencing almost all magnetic resonance properties (e.g., T\textsubscript{1}, T\textsubscript{2}, proton density, diffusion and more). In the pre-clinical setting, temperature has a large influence on…