Applications of Artificial Intelligence and Machine Learning: Select Proceedings of ICAAAIML 2020 (Lecture Notes in Electrical Engineering, 778)

ICAAAIML-2020
Preface
Contents
About the Editors
Artificial Intelligence and Its Applications in Smart Education
Building a Language Data Set in Telugu Using Machine Learning Techniques to Address Suicidal Ideation and Behaviors in Adolescents
	1 Introduction
	2 Suicidal Data Set Creation in Telugu
	3 Technique Used for Data Gathering to Create Required Data Set
	4 Data Collection
		4.1 Scrapping
		4.2 Cleaning
		4.3 Annotation
		4.4 Data Set Statistics
	5 Methodology
	6 Experiments and Results
		6.1 Accuracy by ML Classifiers
		6.2 Binary Classification Measures
	7 Conclusion
	8 Future Work
	References
Feature Selection and Performance Comparison of Various Machine Learning Classifiers for Analyzing Students’ Performance Using Rapid Miner
	1 Introduction
	2 Literature Review
	3 Research Methodology
	4 Experiment and Results
	5 Conclusion
	References
Internet of Things (IoT) Based Automated Light Intensity Model Using NodeMcu ESP 8266 Microcontroller
	1 Introduction
		1.1 Problem Statement
		1.2 Objectives
	2 Research Methodology
	3 Literature Survey
	4 Performance Analysis
		4.1 Analysis Outcomes
	5 Conclusion and Future Scope
	References
Handwritten Mathematical Symbols Classification Using WEKA
	1 Introduction
	2 Literature Review and Related Work
	3 Proposed Work
	4 Implementation
	5 Conclusion and Future Scope
	References
Enhancing Sociocultural Learning Using Hyperlocal Experience
	1 Introduction
	2 Literature Survey
	3 Working of the System
		3.1 Overview
		3.2 Hyperlocal Forecasting
		3.3 Architecture
		3.4 Methodology
		3.5 Proposed Solution
		3.6 Algorithm
	4 Conclusion
	5 Future Enhancements
	References
Subsequent Technologies Behind IoT and Its Development Roadmap Toward Integrated Healthcare Prototype Models
	1 Introduction
	2 Technologies Behind IoT
		2.1 IoT Development Boards and IoT Hardware
		2.2 IDE (Integrated Development Environment)
		2.3 Protocols
		2.4 Network Spine
		2.5 Internetwork Cloud Stages/server
		2.6 Software
	3 IoT Gateway Device
	4 IoT Development Roadmap and Healthcare Prototype
	5 Conclusion
	References
Big Data and Data Mining
Bug Assignment-Utilization of Metadata Features Along with Feature Selection and Classifiers
	1 Introduction
	2 Literature Survey
	3 Proposed En-TRAM Triager
	4 Experimental Setup and Results
		4.1 Experiment Setup
		4.2 Results
	5 Conclusion
	References
Role of Artificial Intelligence in Detection of Hateful Speech for Hinglish Data on Social Media
	1 Introduction
		1.1 Previous Work
	2 Corpus Creation and Annotation
		2.1 Annotations
	3 Methodology
		3.1 Bidirectional Encoder Representations from Transformers (BERT)
		3.2 Embeddings from Language Models (ELMo)
		3.3 Flair
	4 System Design
		4.1 Data Pre-Processing
		4.2 Fine-Tuning Approaches
	5 Results and Discussion
	6 Conclusion
		6.1 Future Scope
	References
From Web Scraping to Web Crawling
	1 Introduction
	2 Methodologies Involved in Web Scraping
		2.1 DOM Tree Parsing
		2.2 String Matching
		2.3 Semantic Framework
		2.4 Machine Learning-Based Web Scraping
	3 Web Crawling
		3.1 Scrapy and Spider
	4 Scraping Conference Data
		4.1 Settings.py
		4.2 Spider
		4.3 Items.py
		4.4 Pipelines.py
		4.5 Middlewares.py
	5 Restrictions Imposed on Web Scraping
		5.1 Bypass Restrictions Using User-Agents
		5.2 Bypass Restrictions Using Proxies
		5.3 Bypass Restrictions by Logging in the Web site
	6 Conclusion
	References
Selection of Candidate Views for Big Data View Materialization
	1 Introduction
	2 Big Data View Materialization
	3 Big Data View Structure Graph
	4 Algorithm BDCV&QP
	5 An Example
	6 Conclusion
	References
A Machine Learning Approach to Sentiment Analysis on Web Based Feedback
	1 Introduction
	2 Literature Review
	3 Proposed Methodology
		3.1 Data Collection
		3.2 Pre-Processing Data
		3.3 Feature Extraction
		3.4 Training and Classification
	4 Implementation
	5 Result and Discussion
	6 Conclusions and Future Scope
	References
Forecasting of Stock Price Using LSTM and Prophet Algorithm
	1 Introduction
	2 Related Work
	3 Stock Market Prediction
	4 Methodology
		4.1 Artificial Neural Network (ANN)
		4.2 Recurrent Neural Network
		4.3 LSTM (Long Short Term Memory)
		4.4 Prophet Algorithm
	5 Results
		5.1 Implementation of LSTM
		5.2 Implementation of Prophet Algorithm
	6 Discussion and Conclusion
	References
Towards a Federated Learning Approach for NLP Applications
	1 Introduction
	2 Related Works
	3 Federated Learning Infrastructure
		3.1 Design and Implementation
		3.2 Dataset and Model
	4 Results
	5 Conclusion and Future Work
	References
Challenges of Smart Cities Future Research Directions
Analysis of Groundwater Quality Using GIS-Based Water Quality Index in Noida, Gautam Buddh Nagar, Uttar Pradesh (UP), India
	1 Introduction
	2 Study Area
	3 Materials and Methods
		3.1 Methodology
		3.2 Physico-Chemical Parameters
		3.3 Spatial Analysis
		3.4 Machine Learning Techniques
	4 GIS Statistical Model
	5 Results and Discussions
	6 Spatial Distribution of GIS-Based WQI
	7 Conclusions
	References
An Artificial Neural Network Based Approach of Solar Radiation Estimation Using Location and Meteorological Details
	1 Introduction
	2 Artificial Neural Network Based Solar Radiation Estimation
	3 Solar Radiation Estimation Modeling
	4 Results
	5 Results
	References
Applications of Machine Learning and Artificial Intelligence in Intelligent Transportation System: A Review
	1 Introduction
	2 Applications of ML in ITS
		2.1 Road Anomaly Detection
		2.2 Traffic Flow Detection and Travel Time Prediction
		2.3 Accident Detection and Prevention
		2.4 Smart City Lights
		2.5 City Infrastructure
	3 Applications of AI in Smart Transportation
		3.1 Safety and Emergency Management System
		3.2 Autonomous Vehicles
		3.3 Smart Parking Management
		3.4 Incident Detection
		3.5 Predictive Models
	4 Challenges of AI and ML in ITS
	5 Future Trends in Intelligent Transportation System
	6 Conclusion
	References
Analyzing App-Based Methods for Internet De-Addiction in Young Population
	1 Introduction
	2 Prior Work
	3 Methodology
		3.1 Mobile Applications
		3.2 The Basic Methodology
	4 Results and Analysis
		4.1 Step 1: Polynomial Regression
		4.2 Step 2: ANOVA
		4.3 Step 3: Multivariate Analysis of Variance (MANOVA)
	5 Conclusion
	References
Revolution of AI-Enabled Health Care Chat-Bot System for Patient Assistance
	1 Introduction
		1.1 History of Chat-Bots
		1.2 Ease of Use
	2 Literature Review
	3 Proposed System
		3.1 Processing of Chat-Bot
		3.2 Some Common Mistakes
		3.3 Building Bot Using Dialog Flow API
		3.4 Tabular Design of Disease Record
		3.5 Decision Tree of Chat-Bot
		3.6 Developing Chat-Bot
		3.7 Normalizing the Tech Inside Present Digital Channels
		3.8 Ensuring the Chat-Bot Suits in with Emblem Identity
		3.9 Handling Chat-Bot
		3.10 Coping When Matters Go Wrong
		3.11 Knowing When a Human Need to Take Over
	4 Results
	5 Future Work
	6 Conclusion
	References
Air Quality Prediction Using Regression Models
	1 Introduction
	2 Related Work
	3 Overview of the Proposed Work
		3.1 Multiple Linear Regression
		3.2 Support Vector Regression
		3.3 Decision Tree Regression
	4 Experimental Setup and Result
		4.1 Dataset
		4.2 Preprocessing of Data
		4.3 Results
	5 Conclusion
	References
Anomaly Detection in Videos Using Deep Learning Techniques
	1 Introduction
	2 Anomaly Detection Recent Surveys
	3 Proposed Work
		3.1 CNN Model
		3.2 VGG 16 Model
	4 Implementation
		4.1 UCF-Crime Dataset
		4.2 VGG16 & CNN Model Implementation
	5 Results and Analysis
	6 Conclusion and Future Scope
	References
Unsupervised Activity Modelling in a Video
	1 Introduction
	2 Related Works
	3 Proposed Methodology
		3.1 Pre-processing
		3.2 Feature Extraction
		3.3 Recognition
	4 Experimental Results
		4.1 Dataset
		4.2 Result Analysis
	5 Conclusion and Future Work
	References
Performance Comparison of Various Feature Extraction Methods for Object Recognition on Caltech-101 Image Dataset
	1 Introduction
	2 Related Work
	3 Feature Extraction Methods
		3.1 Local Features
		3.2 Deep Features
	4 Classification Methods
		4.1 Gaussian Naïve Bayes
		4.2 K-Nearest Neighbor (k-NN)
		4.3 Decision Tree
		4.4 Random Forest
		4.5 XGBoosting Classifier
	5 Experimental Results and Discussion
		5.1 Dataset and Data-Partitioning Methodologies
		5.2 Performance Evaluation
	6 Conclusion
	References
Leukemia Prediction Using SVNN with a Nature-Inspired Optimization Technique
	1 Introduction
		1.1 The Novelty of This Paper
	2 Motivation
		2.1 Literature Survey
	3 Proposed Method of Leukemia Detection
		3.1 Preprocessing of the Input Image
		3.2 Blast Cell Segmentation
		3.3 Identification of WBCs
		3.4 Detection of Leukemia
	4 Results and Discussion
		4.1 Performance Analysis
		4.2 Comparative Analysis
	5 Conclusion
	References
Selection of Mobile Node Using Game and Graph Theory for Video Streaming Application
	1 Introduction
	2 Literature Survey
		2.1 Overlapping Coalition Game
	3 Basic Terminologies
	4 Cooperative Game-Theoretic Modeling
	5 Edge Node Replacement Strategy
	6 Discussion and Time Complexity Analysis
	7 Conclusion
	References
Attentive Convolution Network-Based Video Summarization
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Convolution Network Module
		3.2 Self-attention Module
		3.3 Deconvolution Module
	4 Experiment
		4.1 Dataset
		4.2 Ground Truth Preparation
		4.3 Implementation Detail
		4.4 Evaluation Metric
		4.5 Baseline Models
	5 Experimental Results
		5.1 Ablation Study
	6 Future Scopes and Conclusion
	References
Static Video Summarization: A Comparative Study of Clustering-Based Techniques
	1 Introduction
	2 Related Work
	3 Methodology and Taxonomy
		3.1 Video Preprocessing
		3.2 Feature Extraction
		3.3 Clustering
		3.4 Evaluation Method
	4 Experiment and Results
		4.1 Experiment Environment
		4.2 Video Summarization Models (VSM)
		4.3 Evaluation Results
	5 Comparative Analysis
		5.1 Best Model and Worst Model
		5.2 Local Versus Global Features
		5.3 Consistency Study of Clustering Method
		5.4 Consistency Study of Local and Global Features
	6 Conclusion and Future Work
	References
A Review: Hemorrhage Detection Methodologies on the Retinal Fundus Image
	1 Introduction
	2 Review: Hemorrhage Identification Methods
		2.1 Mathematical Morphology
		2.2 Recursive Region Growing
		2.3 Artificial Neural Network
		2.4 Classification
		2.5 Inverse Segmentation
	3 Performance Analysis
	4 Conclusion
	References
A Study on Retinal Image Preprocessing Methods for the Automated Diabetic Retinopathy Screening Operation
	1 Introduction
	2 Current State of the Art
	3 Preprocessing Schemes
		3.1 Histogram Equalization
		3.2 CLAHE
		3.3 Bottom Hat Transformation
		3.4 Wiener Filter
		3.5 Median Filter
		3.6 Brightness Preserving Preprocessing Scheme
	4 Experimental Results
	5 Conclusion
	References
FFHIApp: An Application for Flash Flood Hotspots Identification Using Real-Time Images
	1 Introduction
	2 Proposed Work
		2.1 Android Application for Smartphone
		2.2 Server-Side Application
		2.3 Flood-Image-Detector: CNN Model
		2.4 System Implementation Strategy
	3 Simulation and Experiments
	4 Conclusion
	References
Infrastructure and Resource Development and Management Using Artificial Intelligence and Machine learning
An Optimized Controller for Zeta Converter-Based Solar Hydraulic Pump
	1 Introduction
	2 System and Specifications
		2.1 Block Diagram of Proposed System
		2.2 PV Array
		2.3 ZETA Converter
		2.4 Motor
	3 Control Technique
		3.1 Open Loop
		3.2 Genetic Algorithm-Tuned PI Controller
		3.3 Fuzzy Logic Controller
	4 Simulation and Results
		4.1 Simulation Figure
		4.2 Simulation Results
	5 Analysis
		5.1 Set Values for Different Conditions
		5.2 SEPIC Versus Zeta
	6 Conclusions
	References
Automated Detection and Classification of COVID-19 Based on CT Images Using Deep Learning Model
	1 Introduction
	2 Materials and Methods
		2.1 Covid CT Image Dataset
		2.2 Transfer Learning
		2.3 The Proposed Fine-Tuning Method
	3 Experimental Results
		3.1 Results
		3.2 Discussion
	4 Conclusion
	References
Comparative Study of Computational Techniques for Smartphone Based Human Activity Recognition
	1 Introduction
	2 Methodology
		2.1 Dataset
		2.2 Feature Analysis and Selection
		2.3 Computational Techniques for Human Activity Recognition
	3 Result and Discussion
		3.1 Confusion Matrix
		3.2 Evaluation Parameters
	4 Discussion and Future Scope
	References
Machine Learning Techniques for Improved Breast Cancer Detection and Prognosis—A Comparative Analysis
	1 Introduction
	2 Literature Review
	3 Comparative Analysis of Existing Literature
	4 Experimental Setup
		4.1 Machine Learning Classifiers Adopted
		4.2 Performance Metrics Adopted
		4.3 Implementation
	5 Results
	6 Conclusion, Challenges and Future Scope
	References
Multiclass Classification of Histology Images of Breast Cancer Using Improved Deep Learning Approach
	1 Introduction
	2 Review of Existing System
	3 Limitations of Existing Systems
	4 Dual Stage Multiclass Breast Cancer Classification Using Deep Learning Framework
	5 Experimental Analysis
	6 Conclusion
	7 Future Scope
	References
Enhancing the Network Performance of Wireless Sensor Networks on Meta-heuristic Approach: Grey Wolf Optimization
	1 Introduction
	2 Related Work
	3 The Proposed Grey Wolf Optimization Algorithm
		3.1 Objective Function
		3.2 Radio Model
	4 Simulation and Result Analysis
		4.1 Comparative Evaluation
	5 Conclusion
	References
Deep Learning-Based Computer Aided Customization of Speech Therapy
	1 Introduction
	2 Related Work
	3 Proposed Approach
		3.1 Dataset
		3.2 Word Construction in Hindi Language
		3.3 Proposed Model for Intermediate Frame Synthesis: SpinCNN
		3.4 Training
	4 Testing and Results
		4.1 Evaluation Metrics
		4.2 Evaluation of Synthesized Intermediate Frames
		4.3 Evaluation of Constructed Words
	5 Proposed Application Areas
	6 Conclusion and Future Work
	References
Face Mask Detection Using Deep Learning
	1 Introduction
		1.1 The Major Contribution of This Paper
	2 Motivation
		2.1 Literature Survey
	3 Proposed Method of Face Mask Detection
		3.1 Preprocessing
		3.2 Face Detection and Cropping
		3.3 Feature Extraction and Prediction
		3.4 Architecture
	4 Results and Discussion
		4.1 Performance Analysis
		4.2 Comparative Analysis
	5 Conclusion
	References
Deep Learning-Based Non-invasive Fetal Cardiac Arrhythmia Detection
	1 Introduction
	2 Literature Review
		2.1 Literature Overview of the Non-invasive FECG Analysis
		2.2 Literature Overview Cardiac Arrhythmia Detection (Adult and Fetus)
	3 Experimental Design
		3.1 Data Source and Description
		3.2 Signal Preprocessing
		3.3 Feature Extraction
		3.4 CNN Architecture
	4 Result and Discussion
		4.1 Performance Metrics
		4.2 Result
		4.3 Discussion
	5 Conclusion
	References
Security and Privacy Challenges and Data Analytics
Minimizing Energy Consumption for Intrusion Detection Model in Wireless Sensor Network
	1 Introduction
	2 Related Work
	3 Model-Based IDS
		3.1 Bayes Belief Network Model
		3.2 Hidden Markov Model Architecture
	4 Results and Analysis
	5 Conclusion
	References
A Blockchain Framework for Counterfeit Medicines Detection
	1 Introduction
		1.1 Background
		1.2 Outline
	2 Related Knowledge—Blockchain Technology
		2.1 Decentralization
		2.2 Components and Working Principle
	3 Literature Review
	4 Proposed Framework
	5 Security in Blockchain
	6 Validation
	7 Future Scope
	8 Conclusion
	References
Static and Dynamic Learning-Based PDF Malware Detection classifiers—A Comparative Study
	1 Introduction
	2 Structure of PDF File
		2.1 Header
		2.2 Body
		2.3 Cross-Reference Table
		2.4 Trailer
	3 Parsing Procedure
	4 Learning Based Malicious PDF Detection Process
		4.1 Preprocessing
		4.2 Feature Extraction
		4.3 Classifier
	5 Types of Classifiers
		5.1 Static Classifiers
		5.2 Dynamic Classifiers
	6 Static Classifiers
		6.1 N-Gram
		6.2 N-Gram II
		6.3 PJscan
		6.4 Slayer
		6.5 PDFrate V1
		6.6 Hidost
		6.7 Slayer NEO
		6.8 PDFrate V2
	7 Dynamic Classifiers
		7.1 Wepawet
		7.2 MDScan
		7.3 PDF Scrutinizer
		7.4 Lux0R
		7.5 PlatPal
	8 Comparative Study Among Different Learning-Based PDF Malware Classifiers
	9 Conclusion and Future Scope
	References
MOLE: Multiparty Open Ledger Experiment, Concept and Simulation Using BlockChain Technology
	1 Introduction
	2 Blockchain Architecture
	3 Various Initiatives of Government for Blockchain Technology
		3.1 Initiatives
		3.2 Industry Interaction
	4 Properties of BlockChain Technology
		4.1 Decentralization
		4.2 Transparency
		4.3 Immutability
		4.4 Functioning of Blockchain Technology: Role of Hashing
	5 Experimental Set Up: Simulation Performed
		5.1 Aim and Objective of Virtual Lab
		5.2 MOLE Algorithm
		5.3 Simulation Using Virtual Lab
	6 Conclusion
	References
Intrusion Detection Based on Decision Tree Using Key Attributes of Network Traffic
	1 Introduction
	2 Data Mining in IDS
	3 WEKA Tool
	4 KDDCup 1999
	5 Related Work
	6 Algorithms Applied
		6.1 J48
		6.2 Random Forest
	7 Experimental Result
		7.1 Parameter
		7.2 Results
	8 Conclusion
	References
An Extensive Review of Wireless Local Area Network Security Standards
	1 Introduction
	2 How Wi-Fi Works
	3 Wireless LAN Security
		3.1 Wired Equivalent Privacy
		3.2 Wi-Fi Protect Access
		3.3 WPA2/IEEE802.11i
	4 Attacks on Wireless LAN
	5 Basic Solutions for Mitigating Security Flaw in AP
	6 Methodology of the Simulation
	7 How to Reduce Chance of Attack
	8 Conclusion
	References
Security Concerns at Various Network Phases Through Blockchain Technology
	1 Introduction
		1.1 Application of Blockchain
	2 Related Work
	3 Parametric Measures in Blockchain
		3.1 At Device Phase
		3.2 At User Phase
		3.3 At Data Phase
	4 Conclusion
	References
Smart Infrastructure and Resource Development and Management Using Artificial Intelligence and Machine learning
Developing an Evaluation Model for Forecasting of Real Estate Prices
	1 Introduction
	2 Related Work
	3 Research Methodology
		3.1 Data Description
		3.2 Data Analysis Process
	4 Data Analysis
		4.1 Descriptive Statistics
		4.2 Correlation Matrix
		4.3 Real Estate Valuation Model
	5 Conclusion
	6 Limitations and Future Research Directions
	References
Memetic Optimal Approach for Economic Load Dispatch Problem with Renewable Energy Source in Realistic Power System
	1 Introduction
	2 ELD of Renewable Energy Integrated System
	3 Problem Formulation
		3.1 Economic Load Dispatch (ELD) Problem
	4 Proposed Methodology
		4.1 Mathematical Modelling of SMA
		4.2 Pattern Search Algorithm (PS)
	5 Results and Discussions
	6 Conclusion
	References
High-Throughput and Low-Latency Reconfigurable Routing Topology for Fast AI MPSoC Architecture
	1 Introduction
	2 Literature Survey
	3 Problem Statement
	4 Proposed Architecture
		4.1 Architecture of a System on Chip
	5 Experiment Results and Discussion
		5.1 Performance Analysis
	6 Conclusion
	References
Comparison of Various Data Center Frameworks
	1 Introduction
	2 Literature Survey
	3 Comparison of Frameworks
		3.1 Four Pillar Frameworks
		3.2 Energy Star Energy-Efficient Framework
		3.3 Facebook Data Center
		3.4 Google Data Center
		3.5 EU Code of Conduct on Data Centers
		3.6 Data Center Energy-Efficient Framework (DCEEF)
		3.7 Green Grid Energy-Efficient Data Centers Framework
	4 Proposed Green Data Center Framework
	5 Conclusion
	References
Soft Computing
A New Solution for Multi-objective Optimization Problem Using Extended Swarm-Based MVMO
	1 Introduction
		1.1 Multi-objective Optimization
		1.2 Search and Decision Making in MOP
		1.3 Evolutionary Algorithms for MOP
		1.4 Swarm Based Optimization
	2 Literature Survey
		2.1 Mean Variance Mapping Optimization
		2.2 Local Search Algorithm
	3 Proposed Methodology
	4 Result and Analysis
	5 Conclusion and Future Work
	References
Improving Software Maintainability Prediction Using Hyperparameter Tuning of Baseline Machine Learning Algorithms
	1 Introduction
	2 Literature Review
	3 Research Methodology
		3.1 Metrics
		3.2 Modeling Techniques
		3.3 Hyperparameter Tuning
		3.4 Cross-Validation Technique
		3.5 Accuracy Measures
	4 Results and Analysis
	5 Threats to Validity
	6 Conclusion and Future Scope
	References
Karaoke Machine Execution Using Artificial Neural Network
	1 Introduction
	2 Literature Survey
	3 Artificial Neural Network
	4 Proposed Method
	5 Observations and Results
	6 Conclusion and Future Scope
	References
A Review on Deep Learning Models for Short-Term Load Forecasting
	1 Introduction
	2 Methods or Approaches
	3 Deep Learning Forecasting Models
		3.1 Stacked Auto-encoder
		3.2 Recurrent Neural Network
		3.3 Convolution Neural Network
		3.4 Deep Belief Network
	4 Conclusion
	References
An Evolutionary Approach to Combinatorial Gameplaying Using Extended Classifier Systems
	1 Introduction
	2 Motivation
	3 Background
		3.1 Checkers
		3.2 Description of XCS
	4 Technical Framework
		4.1 Program Structure
		4.2 The Board
	5 Proposed XCS Agent
		5.1 The Classifiers
		5.2 Parameter Settings
		5.3 Reinforcement Component
		5.4 Evolutionary Component
		5.5 Modifications to XCS
	6 Result Analysis
	7 Conclusion and Future Work
	References