Results 241 to 250 of about 342,941 (283)

A New Estimation Algorithm for Destructive Cure Model: Illustration with Exponentially Weighted Poisson Competing Risks. [PDF]

Commun Stat Simul Comput
Pal S, Roy S.
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A neutrosophic clustering approach to handle recommendation uncertainty for gray sheep users. [PDF]

Sci Rep
Samir D, El Reheem EA, Darwish SM, Madbouly MM.   +3 more
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Systematic parameter mapping for Wavelet-Based scatter correction in SPECT: clinical perception versus quantitative metrics. [PDF]

EJNMMI Phys
Oloomi S, Fathabadi A.
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Rethinking Model Transferability: Validity Domains as a New Approach to Delineate the Limits of Bloom Date Projections. [PDF]

Glob Chang Biol
Bauer JN, Schiffers K, Caspersen L, Yamane H, Luedeling E.   +4 more
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Comparison of machine learning models for hemoglobin prediction in patients undergoing maintenance hemodialysis. [PDF]

Front Mol Biosci
Xie T, Su X, Yun C, Tang X, Zheng X, Dong J, Guo Q, Zhu S, Tang D, Dai Y, Yin L.   +10 more
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Hourly PM_2.5 Estimates across California from 2018 to 2023. [PDF]

ACS EST Air
White SR, Sugrue RA, Guillotte L, James E, Wang H, Ahmadov R, Thakur N, Chow FK.   +7 more
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SRG and RMSE-Based Automated Segmentation for Volume Data

Lecture Notes in Computer Science, 2017
Feature visualization plays an important role in volume visualization as it can alleviate the existing problems in direct volume rending. While extraction of the predefined features is also an issue which is difficult to solve. Volume segmentation is of great significance for feature visualization as it is pre-processing of feature extraction ...
Wang Li, Xiaoan Tang, Junda Zhang
exaly   +2 more sources

Endmember selection for multiple endmember spectral mixture analysis using endmember average RMSE

Remote Sensing of Environment, 2003
Abstract Multiple endmember spectral mixture analysis (MESMA) models mixed spectra as a linear combination of endmembers that are allowed to vary in number and type on a per pixel basis. For modeling an image using MESMA, a parsimonious set of endmembers is desirable for computational efficiency and operational simplicity.
Philip E Dennison, Dar A Roberts
exaly   +2 more sources