Intro
Preface
Organisation
Contents
About the Editors
An Intelligent Approach for Brain Tumor Classification Using Different CNN Variants
1 Introduction
2 Literature Review
3 Methodologies
4 Experiment and Analysis
5 Results and Discussion
6 Conclusion and Future Scope
References
Effective Estimation of Relationship Strength Among Facebook Users Applying Pearson Correlation and Jaccard's Coefficient
1 Introduction
2 Related Work
3 Enumerated Structure of the Proposed Approach
3.1 Calculation of Relationship Strength
3.2 Assessment Matrices

3.3 Dataset
4 Results Analysis
5 Conclusion and Future Work
References
Taxonomy of Music Genre Using Machine Intelligence from Feature Melting Technique
1 Introduction
2 Literature Review
3 Methodology
3.1 Dataset Used
3.2 Feature Extraction
4 Result and Analysis
5 Comparative Study
6 Conclusion
References
Optimization of Intraday Trading in F&O on the NSE Utilizing BOLLINGER BANDS
1 Introduction
2 Literature Review
3 Methodology
4 Result
5 Conclusion
References

Identification of Mental State Through Speech Using a Deep Learning Approach
1 Introduction
2 Literature Review
3 Methodology
3.1 Dataset Used
3.2 Feature Extraction
3.3 Classification with CNN
4 Experimental Analysis
4.1 Comparative Study
5 Conclusion
References
Intellectual Property in Human Genomics in India
1 Introduction
1.1 Statement of Problem
1.2 Need for the Research
1.3 Research Methodology
1.4 Objective of the Study
1.5 Scope of the Study
2 Human Genes - Scientific Overview
2.1 Genome Engineering
2.2 Application of Genomics

3 Social, Legal, and Ethical Issues in Patenting Human Genomics
3.1 Gene Patents and Research-Related Issues
3.2 Patenting Human Genes: The Ethical Debate
4 Intellectual Property and Role of Human Genomics in India
4.1 Indian Patents Act 1970
4.2 Gene Patents Under the Patents Act of 1970
5 Right to Health and Genetic Patents
6 Conclusion
References
Performance of Automated Machine Learning Based Neural Network Estimators for the Classification of PCOS
1 Introduction
2 Background
2.1 Artificial Neural Network
2.2 Automated Machine Learning

3 Dataset Description
3.1 Experimental Set up
3.2 Hardware and High-Performance Computing Environment
4 Results
4.1 Analysis of Different PyTorch Neural Network Estimators
5 Conclusion
References
Job Recommendation a Hybrid Approach Using Text Processing
1 Introduction
2 Proposed Work
3 Machine Learning Algorithms
4 Preprocessing of Data
5 Result and Discussion
6 Use of Optimization in Machine Learning Classifiers
7 Conclusion
References