Robustness test results using alternative estimation methods. by Hung Quang Phung (22190257)

Tractor pose estimation results using different methods. by Ningjie Chang (21402721)

Estimation error of candidate methods with a threshold of 0.05. by Lulu Pan (8977979)

Estimation error of candidate methods with a threshold of 0.1. by Lulu Pan (8977979)

Estimation error of candidate methods with a threshold of 0.1. by Lulu Pan (8977979)

Estimation error of candidate methods with a threshold of 0.15. by Lulu Pan (8977979)

Estimation error of candidate methods with a threshold of 0.1. by Lulu Pan (8977979)

Pose estimation accuracy. by Weheliye H. Weheliye (22022140)

Sex estimation methods used by the respondents. by Marta Hlad (11558955)

“…A majority of respondents expressed a preference for traditional morphological methods over recently published metric and alternative methods for sex estimation. …”

Estimation error of candidate methods with a threshold of 0.1, showing how estimation error varies with sample size. by Lulu Pan (8977979)

NDVI statistical area for arbor and shrub sampling points and LAI measurement method. by Yan Li (23143)

In situ (chain method), and total digital complexity (DGC + DLC) per reef. by Erick Barrera-Falcón (21772276)

Subjects:

Evaluated estimation accuracy metric for all the considered methods and the number of samples <i>N</i>. by Martin Dodek (20623832)

Subjects:

Results of the quadratic position estimation (ATE RMSE [cm]) for each model in the replica dataset. Our method minimizes the error in the quadratic position estimation without sign... by Zhanrong Li (5103872)

Estimates of barrier strength and daily staying probability using spatial CKMR methods. by John M. Marshall (603035)

Subjects:

Binding affinity estimation of wild-type and mutant TCR complexes using molecular dynamics simulation and MM/PBSA calculations. by Helder V. Ribeiro-Filho (15188347)

Fixed and random effects estimates predicting time distortion, fitted with restricted maximum likelihood estimation. by Hannah J. Gibbs (20700045)

Machine-Learning-Enabled Thermochemistry Estimator by Tianjun Xie (3756175)

“…Notably, the mean absolute errors can be reduced by 48% during training and 19% during prediction at a minimum, when compared to the classical group method. Leveraging the novel framework, our machine-learning-enabled thermochemistry estimator significantly empowers us to research the thermochemistry of complex species on metal catalysts.…”

Comparison of model performance against baseline deep learning methods. by Injae Seo (21354189)

Architecture of the DERT for pose estimation. by Chao Ji (276390)

Subjects: