The refracted opposition-based learning mechanism. حسب Yang Guo (399435)

الموضوعات:

Decrease in loss during the training process. حسب Muhammad Idrees (92773)

Deep learning-based locomotive syndrome prediction method. حسب Junichi Kushioka (12236447)

الموضوعات:

Boxplot comparing Ct values for HD in flies and clothes. حسب Philippe Ndzomo (17706039)

Accuracy of multiple classifiers with a deep-learning-based feature set حسب Afira Aslam (21433666)

الموضوعات:

Cross-lagged panel model based on physical activity, aggressive behavior and Chinese language learning. حسب Zixia Bu (21475019)

S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. حسب Yan She (8639796)

Salt chemotaxis learning assay. حسب Masahiro Tomioka (430683)

Youthful systemic milieu in young recipients decreased apoptosis and oxidative stress damage in allografts, and promoted proliferation. حسب Chengjun Yu (12136227)

Cross-lagged panel model consistency test based on physical activity, aggressive behavior and Chinese language learning. حسب Zixia Bu (21475019)

Oviduct Glycoprotein 1 (OVGP1) Diagnoses Polycystic Ovary Syndrome (PCOS) Based on Machine Learning Algorithms حسب Fengjuan Wang (768949)

Time-based splitting strategy and forecast horizons. حسب Thierry Jean (20691795)

Skin marks is the S1 Fig title. حسب Mercedes Soto-González (20422078)

Organic solvent exposure causes defects in salt chemotaxis learning. حسب Masahiro Tomioka (430683)

Project summary: Team Based Learning tutorials in S248 حسب Kate Nixon (18466555)

"…The project will implement some elements of the team-based learning (TBL) approach¹ to deliver tutorials with a greater student focus and an emphasis on building working relationships with members of a team. …"

The motor torque curves of load increase/decrease (A) the load of 10 N • m (B) the load of 20 N • m. حسب Taochang Li (20642935)

The motor speed curves of load increase/decrease (A) the load of 10 N • m (B) the load of 20 N • m. حسب Taochang Li (20642935)

The most common machine learning methods to predict ν_s. حسب Fahd Saeed Alakbari (10701871)

الموضوعات:

The selection of indicators based on their correlation with ground surface data. حسب Abdolhossein Boali (19996390)

SHAP interpretation of the optimal machine learning model. حسب Wentao Yang (205781)

الموضوعات: