Proceedings of International Conference on Computational Intelligence and Data Engineering : ICCIDE 2022 / Nabendu Chaki, Nagaraju Devarakonda, Agostino Cortesi, editors.

Intro
Preface
Contents
A Review of Deep Learning Methods in Automatic Facial Micro-expression Recognition
1 Introduction
2 Micro-expression Datasets
2.1 Spontaneous Micro-expression Corpus (SMIC)
2.2 Chinese Academy of Sciences Micro-expression (CASME) Dataset
2.3 Chinese Academy of Sciences Micro-expression (CASME II) Dataset
3 Micro-expression Recognition
3.1 Preprocessing
3.2 Feature Extraction
3.3 Classification
4 Performance Metrics
5 Conclusion
References
Mathematical Modeling of Diabetic Patient Model Using Intelligent Control Techniques

1 Introduction
2 Literature Survey
3 Materials and Methods
4 Conclusion
References
End-to-End Multi-dialect Malayalam Speech Recognition Using Deep-CNN, LSTM-RNN, and Machine Learning Approaches
1 Introduction
2 Related Work
3 Proposed Methodology and Design
3.1 The Proposed Methodology
3.2 Dataset
3.3 Feature Extraction
3.4 Building the Accented ASR System
4 Experimental Results
5 Conclusion and Future Scope
References
JSON Document Clustering Based on Structural Similarity and Semantic Fusion
1 Introduction
2 Literature Survey
3 JSim

3.1 Schema Extraction
3.2 Similarity Computation
3.3 Clustering
4 Experimental Evaluation
4.1 Results
4.2 Discussion
5 Conclusions
References
Solar Power Forecasting to Solve the Duck Curve Problem
1 Introduction
2 Literature Review
3 Methodology
3.1 Duck Curve
3.2 Data Acquisition and Inputs
3.3 Flowchart
3.4 Machine Learning Algorithms Tested
4 Results
4.1 Performance of Machine Learning Models
4.2 Random Forest Performance Metrics
4.3 Calculation of Generated Power for VIT Chennai
4.4 Duck Curve for VIT Chennai
4.5 Case Study

5 Conclusion
References
Dynamic Optimized Multi-metric Data Transmission over ITS
1 Introduction
2 Related Multi-cast Mobility Models
3 Proposed Implementation
3.1 Procedure for selection of Multi-cast Node
3.2 Acknowledgment (ACK) Procedure in NOSMR
3.3 Representation of Acknowledgement Data Frame
4 Experimental Results
5 Conclusion and Future Work
6 Proof of the Concept
References
Solar Energy-Based Intelligent Animal Reciprocating Device for Crop Protection Using Deep Learning Techniques
1 Introduction
2 Real-World Problems of Image Classification

3 Test System Description
4 Methodology
4.1 Convolutional Neural Networks (CNNs)
4.2 Recurrent Neural Networks (RNNs)
5 Experimental Processing
6 Conclusion
References
Toward More Robust Classifier: Negative Log-Likelihood Aware Curriculum Learning
1 Introduction
2 Literature Survey
3 Uncertainty Estimation
3.1 Mathematical Formulas for Uncertainty Quantification
4 Negative Log-Likelihood and Uncertainty
4.1 Likelihood Versus Probability
4.2 Maximum Likelihood Estimation
4.3 Negative Log-Likelihood and Its Relationship with SoftMax Activations