A new device for dynamic luminance mapping and glare risk assessment in buildings

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Saliency models are image-based prediction models that estimate human visual attention. Such models, when applied to architectural spaces, could pave the way for design decisions where visual attention is taken into account. In this study, we tested the pe ...

Accurate and reproducible color characterization is essential for colored building integrated photovoltaic products, both for manufacturing quality control and assessing long-term color stability. However, existing characterization techniques struggle to a ...

In situ imageomics is a new approach to study ecological, biological and evolutionary systems wherein large image and video data sets are captured in the wild and machine learning methods are used to infer biological traits of individual organisms, animal ...

The crowdedness of the RF spectrum constitutes problems in communication, however it also accommodates large amount of useful information. This information can be used to determine existing signals and operating contexts. However, spectrum condition varies ...

Reinterpretable cameras are defined by their post-processing capabilities that exceed traditional imaging. We present "SoDaCam" that provides reinterpretable cameras at the granularity of photons, from photon-cubes acquired by single-photon devices. Photon ...

Access to daylight and views out are usually recognized as beneficial to occupant comfort at the workplace. Simultaneously, discomfort glare due to direct sunlight is a known source of occupant dissatisfaction. Shading fabrics with low openness factor have ...

Significance: Despite recent developments in microscopy, temporal aliasing can arise when imaging dynamic samples. Modern sampling frameworks, such as generalized sampling, mitigate aliasing but require measurement of temporally overlapping and potentially ...

A new device for dynamic luminance mapping and glare risk assessment in buildings

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Saliency prediction in 360° architectural scenes: Performance and impact of daylight variations

Accurate color characterization of solar photovoltaic modules for building integration

A Framework for Autonomic Computing for In Situ Imageomics

Intelligent RF System for Ultra Low Power Spectrum Sensing with Machine Learning

SoDaCam: Software-defined Cameras via Single-Photon Imaging

Impact of Brightness on Glare Perception when Using Shading Fabrics

Aliasing mitigation in optical microscopy of dynamic biological samples by use of temporally modulated color illumination and a standard RGB camera