Recent Advances in Artificial Intelligence and Data Engineering: Select Proceedings of AIDE 2020 (Advances in Intelligent Systems and Computing, 1386)

✍ Scribed by Pushparaj Shetty D. (editor), Surendra Shetty (editor)

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 454
• Category: Library

✦ Synopsis

This book presents select proceedings of the International Conference on Artificial Intelligence and Data Engineering (AIDE 2020). Various topics covered in this book include deep learning, neural networks, machine learning, computational intelligence, cognitive computing, fuzzy logic, expert systems, brain-machine interfaces, ant colony optimization, natural language processing, bioinformatics and computational biology, cloud computing, machine vision and robotics, ambient intelligence, intelligent transportation, sensing and sensor networks, big data challenge, data science, high performance computing, data mining and knowledge discovery, and data privacy and security. The book will be a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, robotics and data engineering.

✦ Table of Contents

Preface
Contents
About the Editors
Smart Environment and Network Issues
Machine Learning-Based Ensemble Network Security System
1 Introduction
2 Related Work
3 Dataset Description
4 Proposed Work
4.1 First LOD (LOD-1)
4.2 Second LOD (LOD-2)
5 Experimental Setup and Results
5.1 NB Classifier
5.2 LR Classifier
5.3 K-NN Classifier
5.4 DT Classifier
6 Conclusion and Future Scope
References
Machine Learning-Based Air Pollution Prediction
1 Introduction
2 Related Work
3 Framework and System Design
3.1 Implementation Details
3.2 Dataset Details
3.3 Algorithms
4 Experimental Set-up and Results
5 Conclusion and Future Scope
References
Crop and Fertilizer Recommendation System Based on Soil Classification
1 Introduction
2 Related Work
3 Proposed Work
3.1 SVM Algorithm
4 Experimental Results and Analysis
4.1 Comparison of SVM with k-NN and Decision Tree
5 Conclusion
References
Human Activity Classification Using Deep Convolutional Neural Network
1 Introduction
2 Literature Survey
3 Proposed Model
4 Results and Discussion
5 Conclusion
References
Intelligent IoT-Based Product Dispenser and Billing System
1 Introduction
2 Related Work
3 Proposed System
3.1 System Control Flow
3.2 Recommendation Algorithm
3.3 System Architecture
3.4 Recommendation System
4 Results and Discussion
5 Conclusion and Future Scope
References
Models Predicting PM 2.5 Concentrations—A Review
1 Introduction
2 Objectives of Various Research Articles
2.1 Machine Learning Models
2.2 Statistical Models/ Time Series Model/Chemical Models
3 Region and Data
4 Data Processing Method
5 Methodology/Algorithms
5.1 Neural Networks
5.2 XGBoost and Random Forest
5.3 Support Vector Machines
5.4 Decision Tree Regression and MLP Regression
5.5 LSTM
5.6 Time Series Model
5.7 NAXRX, GWR, EZN
5.8 Weather Research and Forecasting Model with Chemistry (WRF-Chem)
5.9 Wavelet Transform
5.10 Differential Evolution (DE)
6 Conclusion
References
Performance Analysis of Modified TCP New Reno for MANETs
1 Introduction
2 Result Analysis for TCP New Reno
2.1 Performance Parameters for Existing TCP New Reno
2.2 Result Analysis for Congestion Window Set to 80%—TCP New Reno Modified Window (MW
3 Improvement Over Existing Method
4 Conclusion
References
Smart Health and Pattern Recognition
Identification of Helmets on Motorcyclists and Seatbelt on Four-Wheeler Drivers
1 Introduction
2 Literature Survey
3 Proposed Methodology
4 Results and Discussions
5 Conclusion
6 Future Work
References
Prediction of Autism in Children with Down’s Syndrome Using Machine Learning Algorithms
1 Introduction
1.1 Issues and Challenges
1.2 Objectives
1.3 Architecture of the Proposed Study
2 Literature Survey
3 Study Area and Methodology
3.1 Collection of Data
3.2 Data Cleaning
3.3 Implementation Process to Build a Model (Module 1 Dataset Using UCI Repository)
3.4 Implementation Process to Build a Model (Module 2 Real-Time Dataset)
4 Conclusion and Future Work
References
Speech Emotion Recognition Using K-Nearest Neighbor Classifiers
1 Introduction
2 Framework
3 KNN Classifiers
4 Simulation Results
5 Conclusion
References
Object Detection and Voice Guidance for the Visually Impaired Using a Smart App
1 Introduction
2 Background
3 The Proposed System
4 System Architecture and Implementation
4.1 Methodology
4.2 Description of the Process
5 Results
6 Test cases
7 Conclusion
References
Application to Aid Hearing and Speech Impaired People
1 Introduction
2 Literature Survey
3 Summary of Literature Review with Research Gaps
4 Dataset Description
5 Methodology
6 Results and Discussion
7 Conclusion
References
Variants of Fuzzy C-Means on MRI Modality for Cancer Image Archives
1 Introduction
2 Methodology
2.1 Fuzzy Approaches for MRI Segmentation
3 Empirical Evaluation
4 Summary
References
A Review on Effectiveness of AI and ML Techniques for Classification of COVID-19 Medical Images
1 Introduction
2 Literature Review
3 Conclusion
References
Medical Image Encryption Using SCAN Technique and Chaotic Tent Map System
1 Introduction
2 SCAN Method
2.1 Chaotic Map
2.2 Tent Map
3 Proposed Method
4 Performance Analysis for Proposed Work
4.1 Histogram Analysis
4.2 Entropy
4.3 Mean Square Error
4.4 Number of Pixel Change Rate (NPCR)
4.5 Peak Signal to Noise Ratio (PSNR)
4.6 Unified Average Changed Intensity (UACI)
4.7 Experimental Results
5 Conclusion
References
Utilization of Dark Data from Electronic Health Records for the Early Detection of Alzheimer’s Disease
1 Introduction
2 Review of Literature
3 Proposed Model
3.1 Data Collection
3.2 Data Preprocessing
3.3 Machine Learning Classifiers
4 Results
5 Conclusions
6 Future Scope
References
Brain Tumor Segmentation Using Capsule Neural Network
1 Introduction
2 Literature Review
3 Dataset
4 Preprocessing
5 Evaluation Metrics
6 Results
7 Conclusion
References
Forgery Detection and Image Recommendation Systems
Using Machine Learning for Image Recommendation in News Articles
1 Introduction
2 Methodology
2.1 Data Collection
2.2 Structuring the Data
2.3 Training the Model
2.4 Generating Training Data
2.5 Training Neural Networks
2.6 Image Selection Process
2.7 Query Generator Component
3 Results
4 Conclusion
References
An Approach to Noisy Synthetic Color Image Segmentation Using Unsupervised Competitive Self-Organizing Map
1 Introduction
2 Proposed Methodology for Noisy Synthetic Image Clustering
3 Experimental Outcomes and Discussions
4 Conclusion
References
Building Dataset and Deep Learning-Based Inception Model for the Character Classification of Tigalari Script
1 Introduction
2 Tigalari Script
3 Preparation of Dataset
4 Literature Review
5 Methodology
6 Results and Evaluation
7 Conclusion
References
Handwritten Character Recognition Using Deep Convolutional Neural Networks
1 Introduction
2 Related Work
3 Convolutional Neural Networks
4 Proposed CNN Architecture
5 Results and Discussion
6 Conclusions
References
Implementing Face Search Using Haar Cascade
1 Introduction
2 Literature Survey
3 Methodology
3.1 Face Detection
3.2 Face Recognition
3.3 Converting the Frames into Video
3.4 Algorithm
4 Implementation Details
4.1 The Scale Invariant Detector
4.2 The Modified AdaBoost Algorithm
4.3 The Cascaded Classifier
5 Results and Discussion
6 Conclusion and Future Work
References
Deep Learning Photograph Caption Generator
1 Introduction
2 Related Work
3 Proposed System
4 Methodology
5 Results
6 Conclusion and Future Work
References
Streaming of Multimedia Data Using SCTP from an Embedded Platform
1 Introduction
2 System Specifications
2.1 Hardware Specifications
2.2 Software Specifications
3 Communication Protocols
3.1 Transmission Control Protocol (TCP)
3.2 Stream Control Transmission Protocol (SCTP)
4 Design and Implementation
4.1 Block Diagram
4.2 Flow Chart
5 Experimental Results
6 Conclusion
References
A Fast Block-Based Technique to Detect Copy-Move Forgery in Digital Images
1 Introduction
2 Related Work
3 Proposed Methodology
4 Experimental Results
5 Conclusion and Discussion
References
Bottlenecks in Finite Impulse Response Filter Architectures on a Reconfigurable Platform
1 Introduction
2 Architectures for FIR Filter
2.1 Conventional Architecture (Direct Form and Transposed Form)
2.2 Multiplier-Less Architecture
2.3 Pipelined Architecture
2.4 Parallel Architecture
3 Requirements of FIR Filter: A Reconfigurable Platform Perspective
3.1 Filter Order
3.2 Precession of Data to Represent the Sample/Coefficients
3.3 Data Type to Represent the Signal
3.4 Sample Rate
3.5 Filter Coefficients
4 Results and Discussions
4.1 Simulation Results
4.2 RTL Implementation
4.3 Comparative Analysis
5 Conclusion
References
Copy-Move Image Forgery Detection Using Discrete Cosine Transforms
1 Introduction
2 Proposed Technique
3 Results
3.1 Performance Evaluation
4 Conclusion
References
Sentiment Classification and Data Analysis
A Detail Analysis and Implementation of Haar Cascade Classifier
1 Introduction and Methodology
2 Cascading Classifiers
3 To Create the Haar Cascade Files
4 Results and Conclusion
References
Sentiment Analysis of Twitter Posts in English, Kannada and Hindi languages
1 Introduction
2 Literature Survey
2.1 Related Work
3 Proposed System
3.1 Model Training
3.2 Classification
4 Methodology
4.1 Dataset
4.2 Preprocessing
4.3 Bag of Words Model
4.4 Dataset to Vector Transform
5 Results and Discussion
5.1 Results for English Dataset
5.2 Results for Hindi Dataset
5.3 Results for Kannada Dataset
6 Conclusion and Future Work
References
An Efficient Algorithm for Fruit Ripeness Detection
1 Introduction
2 Literature Survey
3 Methodology
3.1 Detailed Methodology of Fruit Ripeness Detection
3.2 Detailed Methodology of Fruit Defect Detection
4 Results and Discussion
5 Conclusion and Future Work
References
Kannada Document Classification Using Unicode Term Encoding Over Vector Space
1 Introduction
2 Related Work
3 Proposed Method
3.1 Preprocessing
3.2 Unicode Encoded Feature Extraction
3.3 Classification
4 Experimental Results and Discussion
4.1 Kannada Documents Dataset
4.2 K-Fold Cross Validation
4.3 Experimentation
5 Conclusion and Future Work
References
Determining Stock Market Anomalies by Using Optimized z-Score Technique on Clusters Obtained from K-Means
1 Introduction
2 Literature Review
3 Proposed Methodology for Anomaly Detection
3.1 K-mean Clustering Algorithm
4 Experimental Result and Discussion
4.1 Analysis of the Output Dataset
5 Conclusion
References
Data-Driven Strategies Recommendation for Creating MOOCs for Effective Online Learning Experience
1 Introduction
2 Related Work
3 Methodology
3.1 Data Collection
3.2 Response Analysis
4 Results
4.1 Overall Analysis
4.2 Category Wise Ideas
5 Discussion
5.1 Limitations of Study
6 Conclusion
References
A Neural Attention Model for Automatic Question Generation Using Dual Encoders
1 Introduction
2 Related Work
3 Task Definition
3.1 Model
3.2 Sequence-to-Sequence Network
3.3 LSTM
3.4 Embeddings
3.5 Answer Encoder
3.6 Paragraph Encoder
3.7 Attention
3.8 Answer Attention
3.9 Decoder
4 Implementation
4.1 Parameters
5 Evaluation
6 Results and Analysis
7 Conclusion and Future Work
References
A Comparative Study of Efficient Classification Models
1 Introduction
2 Literature Review
2.1 Objectives
3 Methodology
3.1 Database Description
3.2 Preprocessing
3.3 Experimental Setup
4 Analysis and Results
5 Conclusion and Future Scope
References
Sentiment Classification on Twitter Media: A Novel Approach Using the Desired Information from User
1 Introduction
2 Architecture
3 Methods
4 Flowchart
5 Results
6 Conclusion
7 Challenges and Future Enhancements
References