Intro
Contents
About the Editors
Development of Big Data Dimensionality Reduction Methods for Effective Data Transmission and Feature Enhancement Algorithms
1 Introduction
2 Works
3 Objectives
4 Proposed Dimensionality Reduction Method
5 Analysis of the Obtained Results
6 Conclusion
References
IndianFood-7: Detecting Indian Food Items Using Deep Learning-Based Computer Vision
1 Introduction
2 Literature Review
3 Methodology
3.1 Data Preparation
3.2 Our Experimentation on Object Detection Models
4 Results
5 Conclusion
References

Prediction of Protein-Protein Interaction Using Support Vector Machine Based on Spatial Distribution of Amino Acids
1 Introduction
2 Experimental Setup
3 Methodology
3.1 Data Set
3.2 Feature Representation
3.3 Support Vector Machines (SVM)
4 Results and Discussion
4.1 Evaluation Metrics
4.2 Performance of Proposed Model
4.3 Proposed Model Comparison Against Various Predictors
5 Conclusion
References
A Computational Comparison of VGG16 and XceptionNet for Mango Plant Disease Recognition
1 Introduction
2 Methodology and Dataset

2.1 Architecture of the Proposed System
2.2 Dataset Description
2.3 Data Pre-processing
2.4 Models Used
2.5 Training and Compiling the Model
3 Result and Analysis
4 Conclusion
References
Generate Artificial Human Faces with Deep Convolutional Generative Adversarial Network (DCGAN) Machine Learning Model
1 Introduction
2 Related Work
3 Methodology
3.1 Experimental Setup
3.2 Dataset Description
3.3 Model Description
4 Results
5 Future Scope and Conclusion
References
Robust Approach for Person Identification Using Three-Triangle Concept

1 Introduction
2 Literature Review
3 Methodology
3.1 Block Diagram of Recommended System
3.2 Algorithm Used
4 Circuit Layout
5 Interfacing of Components
6 Experimental Results
7 Conclusions
8 Future Scope
References
COVID-19 Disease Detection Using Explainable AI
1 Introduction
2 Explainable Artificial Intelligence
3 Dataset Description
4 Approach to the Proposed System
4.1 Support Vector Machine
4.2 Convolutional Neural Networks
4.3 ResNet50
4.4 Implementation of Explainable AI
5 Proposed Methodology
6 Results

7 Conclusion and Future Scope
References
Towards Helping Visually Impaired People to Navigate Outdoor
1 Introduction
1.1 Convolutional Neural Network
1.2 Visual Geometry Group
2 Literature
3 Methodology
3.1 Create the Dataset
3.2 Applying Existing Approach
3.3 Analyzing the Existing Approach
3.4 Detect Objects in Image
3.5 Train and Test the Model
3.6 Analyzing the Results
4 Experimentation
5 Conclusion and Future Work
References
An Analysis of Deployment Challenges for Kubernetes: A NextGen Virtualization
1 Introduction
2 Origin, History of Kubernetes, and the Community Behind