Results 21 to 30 of about 1,314,320 (308)

Preliminary Selection and Characterization of Pseudo-Invariant Calibration Sites in Northwest China

open access: yesRemote Sensing, 2020
Pseudo-invariant calibration sites (PICS) have been used for the radiometric calibration and stability monitoring of satellite optical sensors. Several stable PICS, such as those in the Sahara Desert in North Africa, were selected for the vicarious ...
Xiuqing Hu   +9 more
doaj   +1 more source

SHCal20 Southern Hemisphere Calibration, 0–55,000 Years cal BP

open access: yesRadiocarbon: An International Journal of Cosmogenic Isotope Research, 2020
Early researchers of radiocarbon levels in Southern Hemisphere tree rings identified a variable North-South hemispheric offset, necessitating construction of a separate radiocarbon calibration curve for the South.
A. Hogg   +14 more
semanticscholar   +1 more source

Cross-Layer Distillation with Semantic Calibration [PDF]

open access: yesAAAI Conference on Artificial Intelligence, 2020
Recently proposed knowledge distillation approaches based on feature-map transfer validate that intermediate layers of a teacher model can serve as effective targets for training a student model to obtain better generalization ability.
Defang Chen   +6 more
semanticscholar   +1 more source

Study of the Radiochromic Film for High Dose Measurement in Radiation Processing

open access: yesJournal of Isotopes, 2016
To establish the radiochromic film dosimeter for high dose level measurement during radiation processing, By corresponding formula and its preparation process research, batches of radiochromic film dosimeters were prepared using nylon as substrate and ...
CHEN Yi-zhen   +3 more
doaj   +1 more source

Aerosol Retrieval Study from a Particulate Observing Scanning Polarimeter Onboard Gao-Fen 5B without Prior Surface Knowledge, Based on the Optimal Estimation Method

open access: yesRemote Sensing, 2023
To meet the demand for the aerosol detection of single-angle and multi-band polarization instrument containing short-wave infrared bands, an inversion algorithm that makes full use of multi-band intensity and polarization information is proposed based on
Yizhe Fan   +5 more
doaj   +1 more source

Calibration of Pre-trained Transformers [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2020
Pre-trained Transformers are now ubiquitous in natural language processing, but despite their high end-task performance, little is known empirically about whether they are calibrated.
Shrey Desai, Greg Durrett
semanticscholar   +1 more source

A PM1.0/2.5/10 Trichotomous Virtual Impactor Based Sampler: Design and Applied to Arid Southwest Aerosols Part I: Design

open access: yesKONA Powder and Particle Journal, 2013
A PM1.0/2.5/10 Trichotomous sampler has been developed to determine if the particles in the saddle point between the coarse and fine particle modes (specifically the 1.0 μm to 2.5 μm size range) are primarily coarse or fine mode particles.
Virgil Marple   +2 more
doaj   +1 more source

Study on Influencing Factors of the Information Content of Satellite Remote-Sensing Aerosol Vertical Profiles Using Oxygen A-Band

open access: yesRemote Sensing, 2023
Aerosol vertical distribution is decisive and hard to be constrained. It is of great significance for the study of atmospheric climate and environment.
Yuxuan Wang   +5 more
doaj   +1 more source

A Coupled BRDF CO2 Retrieval Method for the GF-5 GMI and Improvements in the Correction of Atmospheric Scattering

open access: yesRemote Sensing, 2022
The Greenhouse Gases Monitoring Instrument (GMI), on board the Chinese Gaofen-5 (GF-5) satellite, provides rich observation data for the global remote sensing of atmospheric CO2.
Hanhan Ye   +7 more
doaj   +1 more source

On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks [PDF]

open access: yesNeural Information Processing Systems, 2019
Mixup~\cite{zhang2017mixup} is a recently proposed method for training deep neural networks where additional samples are generated during training by convexly combining random pairs of images and their associated labels. While simple to implement, it has
S. Thulasidasan   +4 more
semanticscholar   +1 more source

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