NN analysis to assign the importance of variables. by Sulmaz Ghahramani (3387635)

Subjects:

DNN acrhitecture. by Syed Muhammad Hamedoon (19565635)

“…Lastly, a deep neural network (DNN) based proposed P-BFS scheme is used to reduce resource allocation’s complexity further. …”

Represent the DNN AUC based on the CICIDS2017 dataset. by Ahmed Muqdad Alnasrallah (21647492)

Represent the DNN training based on the CICIDS2017 dataset. by Ahmed Muqdad Alnasrallah (21647492)

Represent the DNN AUC based on WUSTL EHMS 2020 dataset. by Ahmed Muqdad Alnasrallah (21647492)

Represent the DNN training based on WUSTL EHMS 2020 dataset. by Ahmed Muqdad Alnasrallah (21647492)

Simulation parameters for DNN. by Syed Muhammad Hamedoon (19565635)

“…Lastly, a deep neural network (DNN) based proposed P-BFS scheme is used to reduce resource allocation’s complexity further. …”

DNN based testing result for <i>n</i> = 10. by Syed Muhammad Hamedoon (19565635)

“…Lastly, a deep neural network (DNN) based proposed P-BFS scheme is used to reduce resource allocation’s complexity further. …”

Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and... by Robert Trybulski (10998702)

Subjects:

Recovery check of DNN layers. by Jong-Yun Park (17446572)

Subjects:

Internal architecture of Multi-DNN. by Yang Liu (4829)

Subjects:

DNN Models based on Dimensionality Reduction for Stock Trading by Dongdong Lv (5880509)

Performances of the three machine learning models based on ten-fold cross-validation and walk-forward validation: Multiple linear regression (MLR), random forest (RF), and a deep n... by Yingjie Hu (1579000)

Subjects:

Hyperparameters of derived DNN models. by Ja-Ho Koo (6561596)

Reconstruction using untrained DNN features. by Jong-Yun Park (17446572)

Subjects:

Confusion matrix for the DNN classifier (test dataset). by Marina Eni (11973229)

CSD optimization with Multi-DNN fusion. by Yang Liu (4829)

Subjects:

Sum rate analysis of DNN based P-BFS NOMA for different number of users. by Syed Muhammad Hamedoon (19565635)

Workflow of KCCAM_DNN. by Xiaobo Qi (758907)

“…Subsequently, we construct a deep neural network (KCCAM_DNN) based on the self-attention mechanism, which assigns greater weight to crucial features affecting diabetes and enhances the model’s predictive performance. …”

Reconstructed sounds using different DNN layers. by Jong-Yun Park (17446572)

Subjects: