Читать книгу Simulation and Analysis of Mathematical Methods in Real-Time Engineering Applications - Группа авторов - Страница 5

1 Chapter 1Table 1.1 Accuracy of classifiers.

2 Chapter 2Table 2.1 Existing studies using deep learning in edge.

3 Chapter 4Table 4.1 Protocols and its features.

4 Chapter 8Table 8.1 Performance of biometric in forensic investigation.Table 8.2 List of datasets for various biometric identity.

5 Chapter 9Table 9.1 Acronym used in the chapter.Table 9.2 Comparison of algorithms.

6 Chapter 10Table 10.1 Data type for attributes of dataset.Table 10.2 Statistical description of dataset.Table 10.3 Correlation between attributes in dataset.Table 10.4 Dataset sample.Table 10.5 Comparison of the evaluation results.

7 Chapter 11Table 11.1 Different architecture of deeper learning and its applications.

8 Chapter 12Table 12.1 Skin friction (τ).Table 12.2 Nusselt numeral (Nu).Table 12.3 Sherwood numeral (Sh).

9 Chapter 13Table 13.1 Sensors and their methodologies.Table 13.2 Pest of rice – sample dataset.Table 13.3 Gall midge – GLCM features.Table 13.4 Classification accuracy for paddy insect with SIFT features.

10 Chapter 14Table 14.1 Test cases generated for each of the scenarios.Table 14.2 Comparison of end-user application testing at the edge with ML and ot...