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Tran Quoc Khanh

Showing results (1-10 of 32) with videos related to

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Scientific Reports|January 13, 2021
Deep learning-based pupil model predicts time and spectral dependent light responsesBabak Zandi, Tran Quoc Khanh
Frontiers in Human Neuroscience|October 19, 2023
Evidence for human-centric in-vehicle lighting: part 3-Illumination preferences based on subjective ratings, eye-tracking behavior, and EEG featuresChristopher Weirich, Yandan Lin, Tran Quoc Khanh
Frontiers in Neuroscience|October 14, 2022
Evidence for human-centric in-vehicle lighting: Part 2-Modeling illumination based on color-opponentsChristopher Weirich, Yandan Lin, Tran Quoc Khanh
Scientific Reports|July 5, 2020
Prediction accuracy of L- and M-cone based human pupil light modelsBabak Zandi, Julian Klabes, Tran Quoc Khanh
Sensors (Basel, Switzerland)|April 30, 2021
Tackling Heterogeneous Color Registration: Binning Color SensorsPaul Myland, Sebastian Babilon, Tran Quoc Khanh
Optics Express|June 8, 2018
Preliminary measure for the characterization of the usefulness of light sourcesQuang Trinh Vinh, Peter Bodrogi, Tran Quoc Khanh
Sensors (Basel, Switzerland)|June 10, 2023
Determination and Measurement of Melanopic Equivalent Daylight (D65) Illuminance (<i>mEDI</i>) in the Context of Smart and Integrative LightingVinh Quang Trinh, Peter Bodrogi, Tran Quoc Khanh
Scientific Reports|September 8, 2023
Numerical correlation between non-visual metrics and brightness metrics-implications for the evaluation of indoor white lighting systems in the photopic rangeTran Quoc Khanh, Trinh Quang Vinh, Peter Bodrogi
Sensors (Basel, Switzerland)|January 25, 2025
Multi-Person Localization Based on a Thermopile Array Sensor with Machine Learning and a Generative Data ModelStefan Klir, Julian Lerch, Simon Benkner, et al.
Optics Express|May 4, 2026
Toward adaptation-aware optimization of tunable multi-LED lighting: modeling illuminance-dependent hue-bin preference targetsJulian Klabes, Brandon Fobugwe, Paul Myland, et al.
Pageof 4

Showing results (1-10 of 32) with videos related to

Sort By:
Pageof 4
Scientific Reports|January 13, 2021
Deep learning-based pupil model predicts time and spectral dependent light responsesBabak Zandi, Tran Quoc Khanh
Frontiers in Human Neuroscience|October 19, 2023
Evidence for human-centric in-vehicle lighting: part 3-Illumination preferences based on subjective ratings, eye-tracking behavior, and EEG featuresChristopher Weirich, Yandan Lin, Tran Quoc Khanh
Frontiers in Neuroscience|October 14, 2022
Evidence for human-centric in-vehicle lighting: Part 2-Modeling illumination based on color-opponentsChristopher Weirich, Yandan Lin, Tran Quoc Khanh
Scientific Reports|July 5, 2020
Prediction accuracy of L- and M-cone based human pupil light modelsBabak Zandi, Julian Klabes, Tran Quoc Khanh
Sensors (Basel, Switzerland)|April 30, 2021
Tackling Heterogeneous Color Registration: Binning Color SensorsPaul Myland, Sebastian Babilon, Tran Quoc Khanh
Optics Express|June 8, 2018
Preliminary measure for the characterization of the usefulness of light sourcesQuang Trinh Vinh, Peter Bodrogi, Tran Quoc Khanh
Sensors (Basel, Switzerland)|June 10, 2023
Determination and Measurement of Melanopic Equivalent Daylight (D65) Illuminance (<i>mEDI</i>) in the Context of Smart and Integrative LightingVinh Quang Trinh, Peter Bodrogi, Tran Quoc Khanh
Scientific Reports|September 8, 2023
Numerical correlation between non-visual metrics and brightness metrics-implications for the evaluation of indoor white lighting systems in the photopic rangeTran Quoc Khanh, Trinh Quang Vinh, Peter Bodrogi
Sensors (Basel, Switzerland)|January 25, 2025
Multi-Person Localization Based on a Thermopile Array Sensor with Machine Learning and a Generative Data ModelStefan Klir, Julian Lerch, Simon Benkner, et al.
Optics Express|May 4, 2026
Toward adaptation-aware optimization of tunable multi-LED lighting: modeling illuminance-dependent hue-bin preference targetsJulian Klabes, Brandon Fobugwe, Paul Myland, et al.
Pageof 4