Image preprocessing effect. by Juquan Tan (20642365)

Preprocessing steps. by Hyeong Jun Ahn (7251695)

Data screening and preprocessing flow chart. by Ting Qin (1931218)

Comparison before and after preprocessing. by Xin Wang (91924)

Data preprocessing. by Lin Wei (70005)

Impact of preprocessing on model robustness across device and bias conditions. by Kristopher Nolte (19546020)

Subjects:

For the doctor's discharge advice, the open-cyst operations with albendazole use increased, while the radical operation with albendazole use significantly decreased. by Hongwei Zhang (28335)

Perioperative factors associated with differences in adjusted hospitalization costs; all displayed factors are significantly associated with increased or decreased adjusted costs. by Saad Mallick (17283479)

“…<p>Perioperative factors associated with differences in adjusted hospitalization costs; all displayed factors are significantly associated with increased or decreased adjusted costs.…”

List of 1483 genes that were significantly (<i>P</i> < 0.1) increased or decreased in any galactose-treated sample. by Masaya Nagaya (13851123)

Posterior, mid-posterior, central, and mid-anterior corpus callosal volume significantly decreased with increasing risk of environmental lead exposure. by Andrew T. Marshall (10159199)

Knockout of FcRn in cultured podocytes significantly decreases immune complex trafficking to the lysosome and increases IC trafficking to recycling endosomes. by George Haddad (470789)

Trend of TI values with age: The TI values decreased significantly with the increase of age, * p<0.01 vs other groups. by Yunmeng Da (707943)

Schematic diagram of data preprocessing. by Hongli Liu (493057)

Traits at cellular, leaf, and whole-plant scales which were significantly different [increased (↑) or decreased (↓)] or non-significant between tolerant and sensitive cultivars in the N-deficient treatment. by Ranjeeta Adhikari (9905958)

“…<p>Traits at cellular, leaf, and whole-plant scales which were significantly different [increased (↑) or decreased (↓)] or non-significant between tolerant and sensitive cultivars in the N-deficient treatment.…”

Wavelet transform preprocessing results. by Chao Tang (10925)

“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”

The fraction of predicted heterozygotes that are set to “No Call” by RHA decreases as the size of the heterozygote cluster increases. by Orna Mizrahi-Man (42539)

Image preprocessing. by XiuZhi Qi (18555018)

Data preprocessing workflow from raw data to modeling-ready dataset. by Md Ahiduzzaman (11667905)

Schematic representation of the image preprocessing pipeline. by Kristopher Nolte (19546020)

Subjects:

Preprocessing steps performed to build the final dataset. by Anna Beatriz Silva (20989245)