Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. حسب Gursimran Singh (575288)

الموضوعات:

Cost functions implemented in Neuroptimus. حسب Máté Mohácsi (20469514)

Warning dialog box of proposed NIDS. حسب Parthiban Aravamudhan (15338781)

"…To create a structured valid dataset, a stacked model is made by implementing the two most popular dimensionality reduction techniques Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) algorithms. …"

Feature extraction of proposed NIDS. حسب Parthiban Aravamudhan (15338781)

"…To create a structured valid dataset, a stacked model is made by implementing the two most popular dimensionality reduction techniques Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) algorithms. …"

Performance comparison analysis. حسب Parthiban Aravamudhan (15338781)

"…To create a structured valid dataset, a stacked model is made by implementing the two most popular dimensionality reduction techniques Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) algorithms. …"

Trained dataset after preprocessing. حسب Parthiban Aravamudhan (15338781)

"…To create a structured valid dataset, a stacked model is made by implementing the two most popular dimensionality reduction techniques Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) algorithms. …"

Environmental setup. حسب Parthiban Aravamudhan (15338781)

"…To create a structured valid dataset, a stacked model is made by implementing the two most popular dimensionality reduction techniques Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) algorithms. …"

Data repository. حسب Parthiban Aravamudhan (15338781)

"…To create a structured valid dataset, a stacked model is made by implementing the two most popular dimensionality reduction techniques Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) algorithms. …"

Proposed architecture of fast R–CNN. حسب Parthiban Aravamudhan (15338781)

"…To create a structured valid dataset, a stacked model is made by implementing the two most popular dimensionality reduction techniques Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) algorithms. …"

Test dataset after preprocessing. حسب Parthiban Aravamudhan (15338781)

"…To create a structured valid dataset, a stacked model is made by implementing the two most popular dimensionality reduction techniques Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) algorithms. …"

Accuracy comparison with various datasets. حسب Parthiban Aravamudhan (15338781)

"…To create a structured valid dataset, a stacked model is made by implementing the two most popular dimensionality reduction techniques Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) algorithms. …"

Network propagation identifies ageing-associated genes as well as genes distinguishing prostate tumors of different grades. حسب Konstantina Charmpi (9901053)

Immune microenvironment (A) Comparison of immune cell infiltration between the high-risk and low-risk groups using the ssGSEA algorithm. حسب Chengting Wu (21485612)

Hash function construct used in SKINNY-tk3-hash. حسب Sonal Arvind Barge (20454967)

"…Functional behaviour is tested using ModelSim SE-64. …"

Stratification of Differentially Expressed genes (DEGs) using Principal component analysis (PCA) values for r-HAT cases vs healthy controls grouped into males and females. حسب Peter Nambala (7245215)

Immune infiltration analysis by ssGSEA algorithm. حسب Yubin Xue (1537042)

The correlation coefficient matrix, means, standard deviation, correlation coefficient, and square root of AVE (N = 368). حسب Linsha Liu (20378293)

الموضوعات:

Bootstrap results (N = 368). حسب Linsha Liu (20378293)

الموضوعات:

Analysis of confirmatory factors (N = 368). حسب Linsha Liu (20378293)

الموضوعات:

The relevant data file for this article. حسب Linsha Liu (20378293)

الموضوعات: