Preface
Organization
Contents
Type 2 Diabetes Prediction from the Weighted Data
1 Introduction
2 Materials and Methods
2.1 Missing Values Replacement
2.2 Normalization
2.3 Feature Extraction
2.4 N2PS
2.5 Weighted Value
2.6 Prediction Model
2.7 Accuracy
2.8 Procedure of the Proposed Work
3 Experimental Results
4 Conclusion
References
Harnessing Energy of M-ary Hopfield Neural Network for Connectionist Temporal Sequence Decoding
1 Introduction
2 Hopfield Network Based Formulations
2.1 Basic Hopfield Network for Static Patterns
2.2 M-ary Hopfield Network for Static Patterns
2.3 Hopfield Based Network for Sequence Storage and Retrieval
3 M-ary HNN for Sequence Storage and Retrieval
3.1 Dual Weight Learning
3.2 Isolated Sequence Retrieval from M-ary HNN
4 Connected Temporal Sequence Decoding Using Extended M-ary HNN
4.1 Model
4.2 Decoding Process
5 Dataset and Experiments
5.1 Scenario-A
5.2 Scenario-B
6 Conclusions
References
Integrative Analysis of miRNA-mRNA Expression Data to Identify miRNA-Targets for Oral Cancer
1 Introduction
2 Background Study
3 Materials and Methods
3.1 Dataset Used
3.2 Proposed Model
4 Results
5 Conclusion
References
Compact Associative Classification for Up and Down Regulated Genes Using Supervised Discretization and Clustering
1 Introduction
2 Literature Review
3 Proposed Method
3.1 Data Normalization
3.2 Selection of Up and Down Regulated Genes
3.3 Discretization
3.4 Associative Classifier
3.5 Clustering Class Association Rules
3.6 Pseudo Algorithm
4 Results and Discussion
5 Conclusion and Future Work
References
Assessment of Brain Tumor in Flair MRI Slice with Joint Thresholding and Segmentation
1 Introduction
2 Related Research
3 Methodology
3.1 BRATS2015 Database
3.2 Tri-Level Thresholding
3.3 Automatic Segmentation
3.4 Performance Evaluation
4 Result and Discussion
5 Conclusion
References
Mayfly-Algorithm Selected Features for Classification of Breast Histology Images into Benign/Malignant Class
1 Introduction
2 Related Research
3 Methodology
3.1 Image Database
3.2 Feature Extraction
3.3 Feature Selection
3.4 Classification and Validation
4 Result and Discussion
5 Conclusion
References
Recent Trends in Human Re-identification Techniques – A Comparative Study
1 Introduction
2 Methodologies for Human Re-identification
2.1 Feature Representation
2.2 Distance Metric Learning Methodologies
3 Performance Analysis
3.1 Comparative Analysis
4 Conclusion
References
Automatic Segmentation of Handwritten Devanagari Word Documents Enabling Accurate Recognition
1 Introduction
2 Brief Overview of Devanagari Script
3 Proposed Method
3.1 Identification and Segmentation of Shiroreakha [14]
3.2 Segmentation of Upper Modifiers
3.3 Segmentation of Lower Modifiers
4 Experimentation
4.1 Dataset
4.2 Experimental Results
5 Conclusion
References
A Comparative Experimental Investigation on Machine Learning Based Air Quality Prediction System (MLBAQPS): Linear Regression, Random Forest, AdaBooster Approaches
1 Introduction
1.1 Air Pollutants
1.2 AQI (Air Quality Index)
1.3 Machine Learning
2 Related Work
3 Proposed Machine Learning Based Air Quality Prediction System (MLBAQPS)
3.1 Data Layer
3.2 Data Filtering Layer
3.3 Data Processing Layer
3.4 Prediction Layer
3.5 Output Layer
4 Results and Discussion
5 Conclusion
References
Mura Defect Detection in Flat Panel Display Using B-Spline Approximation
1 Introduction
2 B-Spline Approximation
3 Proposed Approach: Mura Detection Algorithm
4 Experimental Results
5 Conclusion
References
An Efficient Sample Steering Strategy for Correlation Filter Tracking
1 Introduction
2 Related Works
3 Methodology
3.1 Circulant Sample Generation
3.2 Steering the Samples
3.3 Feature Map Based Correlation Response
3.4 Object Tracking Process
4 Experimental Results and Analysis
4.1 Experimental Setup
4.2 Datasets
4.3 Results
5 Performance Analysis
6 Conclusion
References
A Comparative Study on Machine Learning Based Classifier Model for Wheat Seed Classification
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Input Layer: Sample Collection and Pre-processing
3.2 Processing Layer
3.3 Classification Layer: Machine Learning Based Classification
4 Results and Discussion
5 Conclusion
References
Allocation of Overdue Loans in a Sub-Saharan Africa Microfinance Institution
1 Introduction
2 Background
2.1 Importance of Microfinance
2.2 Process of an Application to Loan
3 Material and Methods
4 Case Study
4.1 Data Structure
4.2 Data Description
4.3 Modeling
5 Results
5.1 The Experiment
5.2 Allocation Model
6 Conclusion
References
Automatic Model for Relation Extraction from Text Documents Using Deep Learning Neural Network
1 Introduction
2 Related Works
2.1 Extraction Methods for Entity Relationships: Classification
3 Deep Neural Network-Relation Extraction
3.1 Word Embeddings
3.2 Position Embedding
3.3 Extraction Models for Entities and Relationships
4 Proposed Model
4.1 System Architecture
4.2 Model Training
5 Results and Discussion
5.1 System Implementation
5.2 Performance Measures
6 Conclusion
References
Polarized Extractive Summarization of Online Product Reviews
1 Introduction
2 Related Work
3 Motivation and Contributions
4 Dataset
4.1 Amazon Cellphone Reviews Dataset
5 Methodology
5.1 Preprocessing
5.2 Sentiment Classification - Module A
5.3 Summarization - Module B
6 Experiments and Results
6.1 Performance Metrics
6.2 Results and Discussion
7 Conclusion and Future Work
References
Deep Learning Based NLP Embedding Approach for Biosequence Classification
1 Introduction
2 Related Works
3 Methodology
3.1 FastText
3.2 Global Vectors (GloVe)
4 Proposed Architecture
4.1 Dataset Description
4.2 Proposed Experimental Design
5 Performance Evaluation
5.1 Experimental Results
5.2 Conclusion and Future Scope
References
Use of Attitude Verbs as a Device to Encode States of Mind: Navigating Them Compositionally in Linguistic Discourse
1 Introduction
2 Two Kinds of Status of Attitude Verbs in Discourse: MPU and Non-MPU
3 Parenthetical States of Mind are CIs
4 A Compositional Profile
5 Conclusion
References
CAI: Complex Ontology Alignments Using Lexical Indexation
1 Introduction
2 Complex Alignments
3 Description of CAI
3.1 Parsing Phase
3.2 Indexing Phase
3.3 Candidate Identification Phase
3.4 Phase of Alignment
4 Evaluations
5 Conclusion
References
Long Short-Term Memory Recurrent Neural Network for Automatic Recognition of Spoken English Digits
1 Introduction
2 Related Work
3 Methods and Techniques
3.1 The Proposed LSTM Architecture
4 Experiments
4.1 Dataset
4.2 Proposed Model Training
4.3 Proposed Model Training Outputs
4.4 Results and Discussions
5 Conclusion
References
Prediction of Smoking Addiction Among Youths Using Elastic Net and KNN: A Machine Learning Approach
1 Introduction
2 Related Work
3 Materials and Methods
3.1 Dataset Used
3.2 Feature Selection
3.3 Classification
3.4 Flow Chart of Implemented Model
4 Result Discussion
5 Critical Analysis and Future Work
References
Novel Training Methods Based Artificial Neural Network for the Dynamic Prediction of the Consumed Energy
1 Introduction
2 The Conceptual Study of the ANN
2.1 The ANN Model
3 The Proposed Approaches
3.1 The Used Methods for the Dynamic Prediction Approach
3.2 The Dynamic Prediction Approach
3.3 The Algorithm of the Short-Term Load Data Forecasting
4 Results and Discussion
4.1 Dynamic Prediction Results
5 Conclusion
References
KGChain: A Blockchain-Based Approach to Secure the Knowledge Graph Completion
1 Introduction
2 Background and Related Works
2.1 Knowledge Graph and Traditional Embeddings Approaches
2.2 BlockChain and Knowledge Graph Privacy
3 Proposed Design
4 Implementation and Evaluation
4.1 Experiment Configurations and Results
4.2 Security Analysis
5 Conclusion
References
Enhanced Group Key Distribution Protocol for Intra Group and Inter Group Communication Using Access Control Polynomial
1 Introduction
2 Access Control Polynomial Based Group Key Distribution Method
2.1 Chinese Remainder Theorem
2.2 Key Initialization Phase
2.3 Key Recovery Phase
2.4 Key Update Phase
3 Evaluating the Proposed Approach
3.1 Efficiency
3.2 Factorization Attack
3.3 Group Key Attack
3.4 Forward and Backward Secrecy
3.5 Re-keying Overhead
4 Experimental Results
5 Conclusion
References
Author Index