Cross validation and parameter tuning of decision tree model for waterborne diseases. by Arman Hossain Chowdhury (12563001)

Transepithelial electrical resistance (TEER) (N = 6). by Shirko Marcel Shokr (19173337)

“…<p><b>(A)</b> During the cultivation of SMC and ALI we observed significantly differences on day 18 (SMC: 9.61 kΩ*cm²; ALI: 7.73 kΩ*cm²; p<0.05) and day 25 (SMC: 8.19 kΩ*cm²; ALI: 6.44 kΩ*cm²; p<0.05) ALI cultures showed significantly decreased values compared to SMC. …”

Sequence parameters. by Tobit Führes (12647099)

“…The black-blood state was best with monopolar encodings and decreased significantly (p < 0.001) with velocity- and/or acceleration-compensation. …”

Flowchart of PSO algorithm used for tuning quadrotor sliding surface parameters. by Nardos Belay Abera (19832190)

Hyper parameters tuning of different classifiers using GridSearchCV. by Shamsuz Zoha (22339469)

Fine-tuning. by Dong Fu (294857)

Transepithelial resistance of NHBE decreases significantly after PAA exposure. by Ellie S. Burns (21246537)

Parameter fine-tuning results: (a) batch size; (b) optimizer;(c) learning rate;(d) . by Fangzhe Chang (20896737)

Iteration tuning using different values. by Md. Rafiqul Islam (403453)

On optimal segmentation and parameter tuning for multiple change-point detection and inference by Christina Parpoula (12870377)

“…Within this framework, a recursive optimization algorithm is developed that is capable of exploring and fine tuning these two input parameters, and optimally segmenting a time series. …”

Fine-tuning and hyperparameter details for the BERT model used in this study, along with the rationale behind each parameter. by Nafiseh Jabbari Tofighi (21819893)

Search agent tuning using different values. by Md. Rafiqul Islam (403453)

The parameters used in the study experiment. by Misganaw Aguate Widneh (21262191)

“…We used transfer learning to tune training and model parameters. Experimental results showed that our DWS-CNN model achieved better performance compared to <b>S-</b>CNN models, with an accuracy of 99.84% for training data, 99.44% for F1-score and 99.44% for testing data, which improves in both accuracy and training speed. …”

BA attenuated the decrease in the expression of ZO-1 and Occludin induced by LPS in Caco2 cells. by Luqiong Liu (11537092)

Mapping parameters in the published literature. by Roddy M. Grieves (3639226)

Subjects:

Interplay of Electronic and Geometric Structure Tunes Organic Biradical Character in Bimetallic Tetrathiafulvalene Tetrathiolate Complexes by Jan-Niklas Boyn (8907563)

Parameters applied to PSO. by Rafael Mendes Faria (18886798)

Subjects:

GXM decreases the trans-endothelial electrical resistance (TEER) and transmigration of <i>C</i>. <i>neoformans</i> through HBECs in a blood brain barrier (BBB) model. by Hiu Ham Lee (15374677)

Data Sheet 3_Fine-tuning a local LLaMA-3 large language model for automated privacy-preserving physician letter generation in radiation oncology.pdf by Yihao Hou (20555675)

Data Sheet 1_Fine-tuning a local LLaMA-3 large language model for automated privacy-preserving physician letter generation in radiation oncology.pdf by Yihao Hou (20555675)