AIMC Topic: Lighting

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Proto-object categorisation and local gist vision using low-level spatial features.

Bio Systems Jul 14, 2015
Object categorisation is a research area with significant challenges, especially in conditions with bad lighting, occlusions, different poses and similar objects. This makes systems that rely on precise information unable to perform efficiently, like...
Databases, Factual Systems Biology ROC Curve Neural Networks, Computer Machine Learning Humans Lighting Models, Biological Visual Perception
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Evaluating crash risk factors of farm equipment vehicles on county and non-county roads using interpretable tabular deep learning (TabNet).

Accident; analysis and prevention Jul 1, 2025
Crashes involving farm equipment vehicles are a significant safety concern on public roads, particularly in rural and agricultural regions. These vehicles display unique challenges due to their slow-moving operational speed and interactions with fast...
Farms Deep Learning Male Lighting Motor Vehicles Accidents, Traffic Agriculture Risk Factors Humans
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Using Gesture and Speech to Control Surgical Lighting Systems: Mixed Methods Study.

JMIR human factors May 12, 2025
BACKGROUND: Surgical lighting systems (SLSs) provide optimal lighting conditions for operating room personnel. Current systems are mainly adjusted by hand; surgeons either accommodate the light themselves or communicate their requirements to an assis...
Lighting Speech Gestures Operating Rooms Humans
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Colorimetric Sensor Reading and Illumination Correction via Multi-Task Deep-Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Colorimetric sensors represent an accessible and sensitive nanotechnology for rapid and accessible measurement of a substance's properties (e.g., analyte concentration) via color changes. Although colorimetric sensors are widely used in healthcare an...
Deep Learning Physical Examination Colorimetry Image Processing, Computer-Assisted Lighting
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Physics-informed neural network for phase imaging based on transport of intensity equation.

Optics express Nov 21, 2022
Non-interferometric quantitative phase imaging based on Transport of Intensity Equation (TIE) has been widely used in bio-medical imaging. However, analytic TIE phase retrieval is prone to low-spatial frequency noise amplification, which is caused by...
Neural Networks, Computer Computer Simulation Humans Physics Lighting Imaging, Three-Dimensional
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Single-exposure height-recovery structured illumination microscopy based on deep learning.

Optics letters Aug 1, 2022
Modulation-based structured illumination microscopy (SIM) is performed to reconstruct three-dimensional (3D) surface topography. Generally speaking, modulation decoding algorithms mainly include a phase-shift (PS) method and frequency analysis techni...
Deep Learning Microscopy Lighting Neural Networks, Computer Algorithms
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Auto-focusing and quantitative phase imaging using deep learning for the incoherent illumination microscopy system.

Optics express Aug 16, 2021
It is well known that the quantitative phase information which is vital in the biomedical study is hard to be directly obtained with bright-field microscopy under incoherent illumination. In addition, it is impossible to maintain the living sample in...
Optical Imaging Lighting Deep Learning Microspheres Microscopy
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PAVE LOW III: interior lighting reconfiguration for night lighting and night vision goggle compatibility.

Aviation, space, and environmental medicine Dec 1, 1982
The PAVE LOW III aircraft is a modified HH-53H helicopter that has a low altitude--below 30.48 m (100 ft)--night/day rescue mission. The desired night flying configuration is for the pilot to wear night vision goggles (NVGs) to fly the aircraft while...
Visual Perception Eye Protective Devices Dark Adaptation Protective Devices Lighting Humans Aircraft
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