Intelligent Computing and Innovation on Data Science: Proceedings of ICTIDS 2021 (Lecture Notes in Networks and Systems, 248)

Organizing Committee and Key Members
	Conference Committee Members
	Patron
	Honorary Chair
	Conference Advisors
	Convenor
	Program Chair
	Publication Chairs
	Scientific Advisory Chair
	International Advisory Board Members
	Publicity Chairs
	Technical Program Committee Members
Invited Speakers
Preface and Acknowledgements
Contents
Editors and Contributors
1 Recent Trends in Potential Security Solutions for SD-WAN: A Systematic Review
	Abstract
	1 Introduction
	2 Significant Characteristics of SD-WAN
		2.1 Life cycle Orchestration and Automation
		2.2 Continuous Self-Learning
		2.3 Consistent Quality of Experience (QoEx)
		2.4 End-To-End Micro-Segmentation
		2.5 Local Internet Breakout for Cloud Application
	3 Enhancement of Security Standards with SD-WAN Framework
		3.1 Delegating Network Security
		3.2 Flowchecker
		3.3 Cognition
		3.4 Resonance
		3.5 Secure Forensics
		3.6 Tualatin
		3.7 NetSecCloud
		3.8 Cloud Watcher
		3.9 Flow Tags
		3.10 Securing Distributed Control
	4 Results and Discussion—Comparison of Performance Evaluation
		4.1 Packet Delivery Ratio (PDR)
	5 Conclusion
	References
3 SVM- and K-NN-Based Paddy Plant Insects Recognition
	Abstract
	1 Introduction
		1.1 Paddy Plant Insects
			1.1.1 Grasshopper
			1.1.2 Planthopper
			1.1.3 Stem Borer
	2 Review of Literatures
		2.1 Approaches of Paddy Plant Insects Recognition
	3 Proposed Research Work
		3.1 SVM-Based IR2PI
		3.2 k-NN-Based IR2PI
	4 Performance Comparison of SVM- and k-NN-Based IR2PI Systems
	5 Major Contributions
	6 Conclusions
	References
4 Comparative Study on Challenges and Detection of Brain Tumor Using Machine Learning Algorithm
	Abstract
	1 Introduction
	2 Literature Survey
	3 Challenges in Detection and Diagnosis of Tumor
	4 Proposed Treatment Method
		4.1 MRI Medical Image Dataset
		4.2 Image Processing Techniques
		4.3 Random Forest Classifier for Classification
	5 Results and Discussion
	6 Conclusion and Future Works
	References
5 Deep Learning in Image Recognition for Easy Sketching Techniques
	Abstract
	1 Introduction
	2 Related Work
	3 Methodology
	4 Conclusion
	References
6 Deep Learning in Image Signal Processing for Minimal Method by Using Kernel DBN
	Abstract
	1 Introduction
	2 Related Works
	3 Methodology
	4 Conclusion
	References
8 Bone Age Measurement-Based on Dental Radiography, Employing a New Model
	Abstract
	1 Introduction
	2 Problem Statement
	3 Literature Review
	4 Proposed Model
		4.1 CNN
			4.1.1 KNN
		4.2 CNN-KNN on Dental Images for Bone Age Measurement
			4.2.1 Image Pre-processing and Data Augmentation
			4.2.2 Hybrid CNN-KNN
	5 Discussion
	6 Conclusion
	7 Future Work
	Acknowledgements
	References
9 Climatic Analysis for Agriculture Cultivation in Geography Using Big Data Analytics
	Abstract
	1 Introduction
	2 Prediction
		2.1 Climatic Prediction
		2.2 Soil Prediction
		2.3 Wind and Water Prediction
	3 Clustering
		3.1 Division Clustering
		3.2 Hierarchy and Fuzzy Clustering
		3.3 Clustering Methods with Model
	4 Conclusion
	References
10 Implementation and Performance Analysis of Various Models of PCNN for Medical Image Segmentation
	Abstract
	1 Introduction
	2 Related Work
		2.1 PCNN Model
		2.2 Intersecting Cortical Model PCNN (ICM-PCNN)
		2.3 Unit-Linking PCNN (UL-PCNN)
	3 Experimental Results
		3.1 Experimental Results with Basic PCNN Model for Input 1
		3.2 Experimental Results with Unit-Linking PCNN for Input 1
		3.3 Experimental Results with Intersecting Cortical Model (ICM) for Input 1
		3.4 Experimental Results for Basic PCNN Model for Input 2
		3.5 Experimental Results for Intersecting Cortical Model Input 2
		3.6 Experimental Results for Unit-Linking PCNN Model for Input 2
		3.7 Experimental Results for Basic PCNN Model for Input 3
		3.8 Experimental Results for Intersecting Cortical Model for Input 3
		3.9 Experimental Results for Unit-Linking PCNN Model for Input 3
	4 Analyzing the Best-Segmented Values for Three Kinds of Input Images
		4.1 Basic PCNN Model
		4.2 Intersecting Cortical Model
		4.3 Unit-Linking PCNN Model
	5 Conclusion
	References
12 Combined Minimum Spanning Tree and Particle Swarm Optimization for the Design of the Cable Layout in Offshore Wind Farms
	Abstract
	1 Introduction
	2 The Methodology of the Optimization Approach
		2.1 Minimum Spanning Tree
		2.2 Clustering of Wind Turbines with k-means
		2.3 Particle Swarm Optimization
	3 Optimization of the Internal Power Collection Network
		3.1 First Case Study
		3.2 Second Case Study
	4 Conclusions and Future Work
	References
13 Biomedical Scan Image Retrieval Using Higher Order Neural Networks
	Abstract
	1 Introduction
	2 Related Work
	3 Proposed Work
		3.1 Feature Extraction
		3.2 The PCNN’s Neuron Model.
		3.3 UL-PCNN Model
	4 Experimentation and Results
	5 Conclusion
	References
14 Soil Category Classification Using Convolutional Neural Network Long Short Wide Memory Method
	Abstract
	1 Introduction
	2 Related Work
	3 Convolutional Neural Network
	4 Long Short-Term Memory (LSTM)
	5 Proposed Work
	6 Experimental Results
	7 Conclusion
	References
15 An Empirical Study on Selected Emerging Technologies: Strengths and Challenges
	Abstract
	1 Introduction
	2 Trends of Emerging Technologies
		2.1 Selected Emerging Technologies
		2.2 Overview of the Selected Technologies
			2.2.1 Smart Eye Technology
			2.2.2 3D Searching
			2.2.3 Blockchain
			2.2.4 Polymer Memory
			2.2.5 Artificial Passenger
	3 Significance of the Selected Technologies in the Society
	4 Conclusion
	References
16 Energy Harvesting: A Panacea to the Epileptic Power Supply in Nigeria
	Abstract
	1 Introduction
		1.1 Power Supply in Nigeria
		1.2 Current Situation in the Power Sector
	2 Overview of Energy Harvesting Technology
		2.1 Solar Cells
		2.2 Thermoelectric Elements
		2.3 Electromagnetic Energy
		2.4 Application Area of Energy Harvesting
	3 Solution to Epileptic Power Supply in Nigeria
	4 Conclusion
	References
17 Forecasting of Inflation Rate Contingent on Consumer Price Index: Machine Learning Approach
	Abstract
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Dataset
		3.2 Model Design
	4 Result Analysis
	5 Conclusion and Future Work
	References
18 Face Detection and Recognition System
	Abstract
	1 Introduction
	2 Related Works
	3 Proposed Methodology
		3.1 Histogram of Oriented Gradients (HOG)
		3.2 Classifier: Support Vector Machine (SVM)
		3.3 K Nearest Neighbor (KNN)
	4 Experimental Results
	5 Conclusions
	References
19 Sentiment Analysis to Assess Students’ Perception on the Adoption of Online Learning During Pre-COVID-19 Pandemic Period
	Abstract
	1 Introduction
	2 Literature Review
	3 Proposed Method
	4 Case Study
	5 Conclusion and Future Work
	References
20 Encoding and Refuge Shelter by Embracing Steganography with Hybrid Methods in Image Reduction Processing
	Abstract
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Data Encryption Standards (DES)
		3.2 Formulas
		3.3 3DES
		3.4 MD5—Message-Digest 5
	4 Results and Discussion
		4.1 Experimental Results
	5 Conclusion and Future Enhancement
	References
21 Bigdata Analysis Using Machine Learning Algorithm in Predicting the Cardiovascular Disease
	Abstract
	1 Introduction
	2 Literature Review
	3 Data and Description
	4 Work Results
	5 Conclusion
	References
22 Anomaly Detection in Business Process Event Using KNN Algorithm
	Abstract
	1 Introduction
	2 Related Works
	3 Proposed System
		3.1 Modules Description
			3.1.1 Business Process Management
			3.1.2 Process Mining
				Infrequent Behavior
				Frequent Behavior
				KNN Algorithm
	4 Experimentation
	5 Conclusion
	References
23 Comparison of Multidimensional Hyperspectral Image with SIFT Image Mosaic Methods for Mosaic Better Accuracy
	Abstract
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Multidimensional Hyperspectral
			3.1.1 Definition of the Framework
			3.1.2 Registration Picture
			3.1.3 Selection of the Reference Image
			3.1.4 Function Identification and Connection
			3.1.5 Matrix Fusion Transform
		3.2 SIFT
			3.2.1 Detection of Harris Corner
			3.2.2 Point Matching
	4 Conclusion
	References
24 The Role of Innovativeness in Mediating the Relationship Between Overall Quality and User Satisfaction Among the Financial Information Systems in Yemen
	Abstract
	1 Introduction
	2 Literature Review
		2.1 Overall Quality (QUL)
		2.2 User Satisfaction (SAT)
		2.3 Innovativeness (INN)
	3 Research Method
	4 Result of Analysising Data
		4.1 Measurement Model Assessment
		4.2 Structural Model Assessment
			4.2.1 Direct Effect Hypotheses
			4.2.2 Moderating Effect Hypotheses
	5 Discussion
	6 Implications
	7 Conclusion
	References
25 Mobile Banking Adoption—Extending Technology Acceptance Model with Transaction Convenience and Perceived Risk: A Conceptual Framework
	Abstract
	1 Introduction
	2 Hypotheses Development
		2.1 Perceived Ease of Use, Perceived Usefulness and Transaction Convenience
		2.2 Transaction Convenience and Intention to Use M-banking
		2.3 Perceived Ease of Use, Perceived Usefulness and Intention to Use M-banking
		2.4 Perceived Risk, Intention to Use and Actual Usage
	3 Operationalization of Variables
	4 Conclusion
	References
26 Drone—an Assistive Device for Aquacare Monitoring
	Abstract
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Hardware Components
			3.1.1 Frame of Drone
	4 Results and Discussion
	5 Conclusion
	References
27 Big Data Background on the Bank Account for Progress of Income Improvement on Customers on Cloud Accounting
	Abstract
	1 Introduction
	2 Literature Survey
	3 Methodology
	4 Conclusion
	References
28 Hyper-Personalization of Mobile Applications for Cloud Kitchen Operations
	Abstract
	1 Introduction
		1.1 Hyper-Personalization of Food (HPF)
		1.2 Cloud Kitchen Operation
		1.3 Mobile App Options
	2 Materials and Methods
	3 Results and Analysis
		3.1 Correlation
		3.2 Linear Regression
	4 Conclusion
	References
29 Exploring Intention to Use E-Government: The Role of Technology Acceptance Model with Self-Efficacy and System Quality
	Abstract
	1 Introduction
	2 Related Work
	3 Conceptual Model and Proposed Hypotheses
	4 Result and Discussion
	5 Conclusion
	References
30 Analysis of E-learner’s Opinion Using Automated Sentiment Analysis in E-learning and Comparison with Naive Bayes Classification, Random Forest and K-Nearest Neighbour Algorithms
	Abstract
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Machine Learning
		3.2 Bayesian Classification (BSC)
		3.3 NBC
	4 Process Flow and Experimentation
		4.1 Process Flow
		4.2 Experimentation
			4.2.1 Random Forest
			4.2.2 KNN
			4.2.3 Performance Measures
				Recall
				Precision
	5 Conclusion
	References
31 Car Damage Detection and Cost Evaluation Using MASK R-CNN
	Abstract
	1 Introduction
	2 Related Works
	3 Proposed Methods
		3.1 Mask R-CNN
	4 Transfer Learning
	5 Dataset Description
	6 Result and Discussion
	7 Conclusion and Future Work
	References
32 Layered Architecture for End-To-End Security, Trust, and Privacy for the Internet of Things
	Abstract
	1 Introduction
		1.1 Paper Contributions
		1.2 Paper Organization
	2 Background and Motivations
	3 Related Works
		3.1 Layered Architecture for IoT
		3.2 End-To-End IoT Security
	4 Proposed Layered Architecture
		4.1 End-To-End Security at Different Layers
	5 Conclusion and Future Works
	References
33 Service Rating Prediction in Location-Based Services
	Abstract
	1 Introduction
	2 Proposed System
	3 Service Rating Prediction
	4 Experiments and Results
		4.1 Dataset
		4.2 Experiments and Analysis
			4.2.1 Experimental Setup
			4.2.2 Results
			4.2.3 Summary
	5 Conclusions
	6 Future Work
	References
34 Analytics of e-Commerce Platforms Based on User-Experience (UX)
	Abstract
	1 Introduction
	2 Review of Literature
	3 Proposed Methodology
		3.1 Popularity of Online Shopping
			3.1.1 Data Analysis
			3.1.2 Extraction Method: Principal Component Analysis: 3 Components Extracted
		3.2 Analysis and Interpretation
			3.2.1 Data Visualization
	4 The Role of UX in E-Commerce Platforms
	5 Conclusion
	References
35 Towards a Threat Model for Unmanned Aerial Vehicles
	Abstract
	1 Introduction
	2 Related Work
	3 UAV Architectures
		3.1 Background
		3.2 Unmanned Aircraft Vehicle
		3.3 Ground Control Station (GCS)
		3.4 The Data Connection
	4 Threat Modeling Process for UAV
		4.1 The Attacker Models
		4.2 Assets
		4.3 Access Entry Points
		4.4 Vulnerabilities and Threats
		4.5 Mitigation Strategies
	5 Conclusion
	References
36 Numerical Analysis of Strut-Based Scramjet Combustor with Ramps Under Non-reacting Flow Field
	Abstract
	1 Introduction
	2 Computational Method
		2.1 Numerical Modeling
		2.2 Boundary Conditions
		2.3 Grid Independence Study
	3 Validation
	4 Result and Discussion
		4.1 Wall Static Pressure
		4.2 Total Pressure Loss
	5 Conclusion
	References
37 Qualitative Assessment of Machine Learning Classifiers for Employee Performance Prediction
	Abstract
	1 Introduction
		1.1 Machine Learning Algorithms
	2 Literature Review
	3 Methodology
		3.1 Data Set
		3.2 Data Analysis
		3.3 Feature Selection and Reduction
		3.4 Training and Testing
	4 Implementation of Machine Learning Classifiers
	5 Experimental Results and Discussion
		5.1 Receiver Operating Characteristic Curve (ROC)
		5.2 Performance Assessment of Machine Learning Algorithms
	6 Conclusion and Future Work
	References
38 Developing Smart Application for Screening and Reducing Maternal and Neonatal Mortality Birth Preparedness
	Abstract
	1 Introduction
	2 Methods of the Research
	3 Results and Discussion
	4 Discussion
	5 Conclusion
	Acknowledgements
	References
39 Role of Machine Learning Approaches in Remaining Useful Prediction: A Review
	Abstract
	1 Introduction
		1.1 RUL Estimation
		1.2 Machine Learning Approaches
		1.3 Physics-Based Model Approach
		1.4 Knowledge-Based and Expert Model Approach
	2 Data-Driven Model Approaches
		2.1 Supervised Learning Approach
		2.2 Unsupervised Learning Approach
		2.3 Reinforcement Learning Approach
	3 Machine Learning on RUL Prediction
		3.1 Review of Machine Learning Techniques
	4 Conclusion
	References
40 An Extensive Review on Malware Classification Based on Classifiers
	Abstract
	1 Introduction
	2 Malware Analysis
		2.1 Machine Learning for Malware Classification
		2.2 Deep Learning for Malware Classification
	3 Experiment
		3.1 Dataset
		3.2 Decision Tree
		3.3 Random Forest
		3.4 Naïve Bayes
		3.5 K-Nearest Neighbor
		3.6 Support Vector Machine
	4 Performance Metrics
		4.1 Confusion Matrix
	5 Result and Discussion
	6 Conclusion and Future Work
	References
41 Video-Based Deep Face Recognition Using Partial Facial Information
	Abstract
	1 Introduction
	2 Literature Review
	3 Proposed Methodology
		3.1 The VGG Face Model
		3.2 Feature Extraction Using VGG Face Model
		3.3 Classification
	4 Experiment Result
	5 Conclusions
	References
42 Early Prediction of Cardio Vascular Disease by Performing Associative Classification on Medical Datasets and Using Genetic Algorithm
	Abstract
	1 Introduction
	2 Related Work
	3 Background Work
		3.1 Associative Classification
		3.2 Genetic Algorithm
		3.3 Cardiovascular Diseases
	4 Cardio Vascular Prediction System
	5 Experimental Results and Discussion
	6 Conclusion
	References
43 Classification of Benign and Malignant Lung Cancer Nodule Using Artificial Neural Network
	Abstract
	1 Introduction
	2 Related Works
	3 Proposed System
		3.1 Image Acquisition
		3.2 Pre-processing
		3.3 Segmentation
		3.4 Features Extraction
		3.5 Classification
	4 Discussions
	5 Conclusion
	References
44 Proposing an Algorithm for UAVs Interoperability: MAVLink to STANAG 4586 for Securing Communication
	Abstract
	1 Introduction
	2 Background
	3 Identified Problem
	4 Proposed Solution
	5 Conclusion and Future Work
	References
45 Multi-class Segmentation of Organ at Risk from Abdominal CT Images: A Deep Learning Approach
	Abstract
	1 Introduction
	2 Literature Review
	3 SegTHOR Dataset
	4 Proposed Methodology
	5 Discussion
	6 Conclusion
	References
46 Cybersecurity for Data Science: Issues, Opportunities, and Challenges
	Abstract
	1 Introduction
	2 Related Work
		2.1 Cybersecurity
		2.2 Common Cybersecurity Attacks and Mitigation Ways
		2.3 Data Science/Cybersecurity Data
		2.4 Machine Learning for Cybersecurity
	3 Proposed Framework
	4 Results and Discussion
	5 Conclusion and Future Works
	References
47 Cost-Effective Anomaly Detection for Blockchain Transactions Using Unsupervised Learning
	Abstract
	1 Introduction
		1.1 Problem Identification and Objectives
	2 Related Works
	3 Cost-Effective Anomaly Detection (CEAD) for Blockchain Transactions
		3.1 Overview
		3.2 Cluster Formation
		3.3 Erasure Coding Using Forward Error Correction (FEC) Technique
		3.4 Block Propagation Using FEC
		3.5 Feature Extraction Technique
		3.6 Anomaly Detection Model
	4 Experimental Results
		4.1 Experimental Setup
		4.2 Results
	5 Conclusion
	References
48 Understanding of Data Preprocessing for Dimensionality Reduction Using Feature Selection Techniques in Text Classification
	Abstract
	1 Introduction
	2 Data Preprocessing: Data Cleaning and Dimensionality Reduction
	3 Feature Selection Methods
	4 Related Work
		4.1 Filter Methods
		4.2 Wrapper Methods
		4.3 Embedded Methods
	5 Conclusion
	References
49 A Comparative Review on Non-chaotic and Chaotic Image Encryption Techniques
	Abstract
	1 Introduction
	2 CBES and CFES Image Encryption Schemes
	3 Quality Measures for Image Encryption Schemes
	4 Conclusion
	References
50 A Review on Chaotic Scheme-Based Image Encryption Techniques
	Abstract
	1 Introduction
	2 Image Security and Its Issues
	3 Recent Studies in Image Encryption Techniques
	4 Spatial Domain
	5 Frequency Domain
	6 Other Contributions, Results, and Discussions
	7 Conclusion
	References
51 FANET: Efficient Routing in Flying Ad Hoc Networks (FANETs) Using Firefly Algorithm
	Abstract
	1 Introduction
		1.1 Flying Ad Hoc Network (FANET)
		1.2 Firefly Algorithm
		1.3 Routing Protocols
	2 Related Work
	3 Proposed Methodology
	4 Simulation and Results
	5 Conclusions and Future Scope
	References
52 Energy-Efficient Model for Recovery from Multiple Cluster Nodes Failure Using Moth Flame Optimization in Wireless Sensor Networks
	Abstract
	1 Introduction
	2 Literature Survey
	3 Proposed Framework
		3.1 Moth Flame Optimization Overview
		3.2 Intra-Partition Phase
		3.3 Inter-Partition Phase
	4 Simulation Results
	5 Conclusion
	References
53 Analyzing DistilBERT for Sentiment Classification of Banking Financial News
	Abstract
	1 Introduction
		1.1 Text Sentiment Classification
		1.2 Why DistilBERT?
	2 Related Work
		2.1 Text Representation
		2.2 Classifiers
	3 Experimental Set up
		3.1 Data
		3.2 Embeddings and Classifiers
	4 Results and Discussion
		4.1 DistilBERT Fine-Tuned on Banking News-Events Sentiments for Classification with Machine Learning Classifiers
		4.2 Results of Banking News-Events Sentiments Classification Using Machine Learning Classifiers with TF-IDF
	5 Conclusion and Future direction
	References
54 An Enhanced Cos-Neuro Bio-Inspired Approach for Document Clustering
	Abstract
	1 Introduction
		1.1 Document Representation
	2 Related Study
	3 Problem Definition
	4 Proposed Approach: Cos-Neuro Bio-Inspired Document Clustering (CNBDC)
		4.1 Similarity Measure: Cosine Similarity
		4.2 The Clustering Approach: K-Means
		4.3 Optimization Approach: Bee Swarm Optimization (BSO)
		4.4 Artificial Neural Network (ANN)
	5 Simulations and Results
		5.1 The CACM (Collection of ACM) Dataset
	6 Conclusion and Future Work
	References
55 Improved Decision Tree Method in E-Learning System for Predictive Student Performance System During COVID 19
	Abstract
	1 Introduction
	2 Related Works
	3 Proposed Method
		3.1 C4.5 Algorithm
		3.2 Fuzzy Decision Tree
		3.3 Experimentation
	4 Conclusion
	References
56 Improving Content Delivery on User Behavior Using Data Analytics
	Abstract
	1 Introduction
	2 Background Study
	3 System Model
		3.1 Regional Interest
		3.2 Temporal Shift
		3.3 Patterns
		3.4 Behavior Analysis
	4 Results and Discussion
	5 Conclusion
	References
57 Improved Nature-Inspired Algorithms in Cloud Computing for Load Balancing
	Abstract
	1 Introduction
	2 Related Works
	3 Proposed Method
		3.1 Load Balancing
			3.1.1 Load Balancing Goals
			3.1.2 Improved Load Balancing Algorithms
		3.2 Improved Ant Colony Optimization
		3.3 Normal Honeybee
		3.4 Experimentation
	4 Conclusion
	References
58 Multipoint Data Transmission Using Li-Fi with LGS Formation
	Abstract
	1 Introduction
	2 Related Work
	3 Proposed System
		3.1 Laser Block
		3.2 Glass Prism Block
		3.3 Solar Panel Block
	4 Multipoint Text Transmission
	5 Multipoint File Transmission
	6 Conclusion and Future Scope
	References
59 Disease Prediction and Diagnosis Model for IoT–Cloud-Based Critical Healthcare System
	Abstract
	1 Introduction
	2 Related Works
	3 Proposed Model
		3.1 Overview and System Model
		3.2 Construction of Knowledge and Information Bases
		3.3 Detection of Abnormal Activities Using DNN
			3.3.1 RF Algorithm
			3.3.2 DNN Model
	4 Experimental Setup
	5 Conclusion
	References
60 Predication of Dairy Milk Production Using Machine Learning Techniques
	Abstract
	1 Introduction
	2 Related Works
	3 Proposed Solution
		3.1 Overview
		3.2 Estimation of Health Condition of Cows
		3.3 Estimation of Feed Intake Capacity (FIC)
		3.4 Estimation of Expected Relative Milk Yield (ERMY)
		3.5 Estimation of Wood’s Parameters
		3.6 Artificial Butterfly Optimization (ABO) Algorithm
	4 Experimental Results
	5 Conclusion
	References
Author Index