Accuracy of pre-trained CNN models. by Abdullah Al Maruf (21446154)

“…Our research is focused on vector mosquito classification based on deep ensemble transfer learning. Initially, we employed transfer learning via four pre-trained convolutional neural network (CNN) models. …”

Parameter settings for training of FL-based DL models. by Shuvo Biswas (21728782)

Comparative Evaluation with Training Percentage based on the Brain MRI dataset. by Afnan M. Alhassan (18349378)

3D features significantly improve CRISPR prediction. by Shaked Bergman (18784567)

Subjects:

Shoot-to-root translocation of GmNN1/FT2a regulates soybean nodulation. by Xinxin Li (281237)

Functions of <i>GmNN1/FT2a</i> in nitrogen nutrition and nodulation. by Xinxin Li (281237)

The condition factor of grass carp (uninfected group, without <i>S</i>. <i>acheilognathi</i> infection; infected group: Infection with <i>S</i>. <i>acheilognathi</i>; ns, no signif... by Pei P. Fu (12407203)

Distribution of study participants based on postgraduate experience and training in travel medicine, and interest in future training (N = 360). by Ayman Al-Dahshan (8962568)

Univariate BOLD activity in the hippocampus did not significantly predict inference performance. by Sam C. Berens (13970497)

Risk score model based on 9 genes in the training and validation sets. by Jiadong Chu (12418575)

Impact of the CRiSOL training on community peers, based on post-training qualitative interviews: Themes and illustrative quotes from participating community leaders. by Ana P. Martinez-Donate (17277114)

RMSE values during training and testing stages. by Imdadullah Hidayat-ur-Rehman (12015337)

Stored red blood cells were incubated with DMSO or normal saline (NS), then incubated in bypass plasma. by Lu Han (151620)

Geniposide (Gen) significantly decreased the content of Hyp in bleomycin-induced PF mice’s lung tissue. by Jian-Bin Yin (19556105)

Performance comparison among different training processes of NECARE on the cross-training set. by Jiajun Qiu (4684921)

HE-stained sections of nsPEF-ablated and unablated regions of normal rat livers(n = 6). by Qing-Gang Li (273341)

Classification inference tree model based on the training data set (n = 2675). by Nahal Hoghooghi (11331270)

Weekly training program. by Beiwang Deng (21627507)

Subjects:

Correlation between gray matter densities in regions contributing significantly to the classification performance of the trained support vector machines and clinical features. by Maeri Yamamoto (9681854)

Variation between the ND and NS across soybean chromsomes. by Xinxin Li (281237)