Intro
Preface
ISDA 2022-Organization
Contents
Machine Learning Approach for Detection of Mental Health
1 Introduction
2 Literature Review
3 Dataset Description
4 Proposed Model
5 Results and Discussion
6 Conclusion and Future Scope
References
U-Net as a Tool for Adjusting the Velocity Distributions of Rheomagnetic Fluids
1 Introduction
2 Theoretical Basics
2.1 Physics-Based Loss
2.2 Rheomagnetic Fluids
3 Simulation Modeling
4 Results and Discussion
5 Conclusions
References

Detection of Similarity Between Business Process Models with the Integration of Semantics in Similarity Measures
1 Introduction
2 Similarity Measures
2.1 Syntactic Measures
2.2 Semantic Measures
2.3 Structural Measures
2.4 Behavioral Measures
3 Problem Illustration
3.1 Similarity Measures
3.2 Dimensions of Semantic Similarity
3.3 Cardinality Problem
3.4 Genetic Algorithm
4 Related Work
5 Our Approach
5.1 Steps of Genetic Algorithm
6 Conclusion
References
Efficient Twitter Sentiment Analysis System Using Deep Learning Algorithm
1 Introduction

2 Literature Review
3 Proposed Method
3.1 Pre-processing
3.2 User-Mention
3.3 EMOJ Positive and Negative
3.4 Feature Selection
3.5 Classification
4 Experimental Results and Discussion
5 Conclusion
References
An Efficient Deep Learning-Based Breast Cancer Detection Scheme with Small Datasets
1 Introduction
1.1 Contributions
2 Proposed Method
2.1 Preprocessing
2.2 CNN Architecture
3 Datasets
4 Results and Discussion
5 Conclusion
References
Comparative Analysis of Machine Learning Models for Customer Segmentation
1 Introduction

2 Problem Statement
3 Literature Review
4 Algorithms for Customer Segmentation
4.1 Customer Segmentation Using K-Means
4.2 Customer Segmentation Using DBSCAN
4.3 Agglomerative Clustering (Using PCA)
4.4 K-Means Using PCA
5 Results and Discussion
5.1 K-Means Model
5.2 DBSCAN
5.3 Agglomerative Clustering with PCA
5.4 Kmeans with PCA
6 Conclusion
References
An Intelligent Approach to Identify the Eggs of the Insect Bemisia Tabaci
1 Introduction
2 Overview of Proposed Approach
2.1 Deep Learning Algorithm
2.2 Auto-encoder

2.3 Stacked Auto-encoder for Egg Classification
3 Results and Discussion
3.1 Databases Used
3.2 Result
3.3 Test Phase
4 Conclusion
References
Overview of Blockchain-Based Seafood Supply Chain Management
1 Introduction
2 Blockchain Technology: Overview and Adoption in Supply Chains Management
3 An Overview of Blockchain Based Seafood Supply Chain Management Systems
4 Discussion and Research Challenges
5 Conclusion
References
Synthesis of a DQN-Based Controller for Improving Performance of Rotor System with Tribotronic Magnetorheological Bearing