ICDSMLA 2021 [electronic resource] : proceedings of the 3rd International Conference on Data Science, Machine Learning and Applications / Amit Kumar, Sabrina Senatore, Vinit Kumar Gunjan, editors.

Intro
Preface
Contents
Road Accident Detection and Indication System
1 Introduction
2 Existing Models
3 Proposed Model
4 The Design of Vehicle Crash Alert System
5 Conclusion
References
Attendance System Based on Face Recognition Using Haar Cascade and LBPH Algorithm
1 Introduction
2 Problem Definition
3 Proposed System
4 Dataset and Methodology
5 Results and Outcome
6 Conclusion
References
Different Thresholding Techniques in Image Processing : A Review
1 Introduction
2 Thresholding
2.1 Global Thresholding

2.2 Multi-thresholding
2.3 Adaptive Thresholding
3 Choosing a Thresholding Method
4 Conclusion
References
Dynamic Weighting Selection for Predictive Torque and Flux Control of Industrial Drives
1 Introduction
2 Predictive Torque and Flux Control
3 Proposed Dynamic Weighting Factor Selection
4 Simulation Results
5 Conclusion
References
Population Index and Analysis Based on Different Geographies
Using Distance Measurement, Social Distancing, and Deep Learning
1 Introduction
1.1 How is Social Distancing Efficient?
1.2 Social Distancing

2 Research Background and Relevant Work
2.1 Pedestrian Detection and Distance Measurement
2.2 Object Detection
2.3 Social Distancing for COVID-19
3 Object Detection and Distance Measurement
3.1 Object Detection
3.2 Distance Measurement Between Detected Objects
4 Proposed Methodology
4.1 Stage I: Detecting Violators
4.2 Stage II: Finding Busy Hours
5 Experiment and Result Analysis
5.1 YOLO Outputs
5.2 Database of Violations
5.3 Busy Hours
5.4 Discussion
6 Conclusion
7 Future Scope
References

On the Discriminability of Samples Using Binarized ReLU Activations
1 Introduction
1.1 Contributions
2 Metrics Used in the Experimental Setup
3 Experiments
3.1 Influence of Number of Layers
3.2 Influence of Sample Size and Number of Training Labels
4 Conclusion and Future Work
References
Supervised and Unsupervised Machine Learning Approaches-A Survey
1 Introduction
2 Different Kinds of Learning
2.1 Supervised Machine Learning
2.2 Unsupervised Machine Learning Algorithm
3 Conclusion
References
Skin Cancer Classification Using Deep Learning

1 Introduction
2 Literature Survey
3 Objectives
4 Existing System
5 Proposed Approach
6 Conclusion
References
Crop Yield Prediction Using Deep Learning
1 Introduction
2 Related Work
3 Proposed Idea
4 Data Flow Diagram
5 Training Specifications
6 Performance Evaluation
7 Experimental Results
8 Discussion and Conclusions
References
Real-Time Tweets Streaming and Comparison Using Naïve Bayes Classifier
1 Introduction
2 Problem Definition
3 Literature Survey
4 Proposed Work
5 Conclusion and Future Enhancement
References