Computational Vision and Bio-Inspired Computing: Proceedings of ICCVBIC 2021 (Advances in Intelligent Systems and Computing, 1420)

Preface
Acknowledgements
Contents
About the Editors
Molecular Docking Analysis of Selected Phytochemicals for the Treatment of Proteus Syndrome
	1 Introduction
	2 Methods and Materials
	3 Results and Discussion
	4 Conclusion and Future Prospects
	References
A Deep Learning-Based Detection of Wrinkles on Skin
	1 Introduction
	2 Literature Review
	3 Proposed Methodology
		3.1 Computer Vision
		3.2 Convolution Neural Network (CNN)
		3.3 Hough Trnaformer
	4 Experimental Results
	5 Conclusion
	References
Image Transmission Using Leach and Security Using RSA in Wireless Sensor Networks
	1 Introduction
	2 Literature Survey
	3 Leach with RSA: Proposed Scheme
	4 Simulation Results
	5 Conclusion
	References
Code Injection Prevention in Content Management Systems Using Machine Learning
	1 Introduction
	2 Background and Related Work
	3 Our Work
		3.1 Data Gathering
		3.2 Data Analysis and Feature Extraction
		3.3 Dataset
		3.4 Feature Selection
		3.5 Machine Learning Using Logistic Regression Algorithm
	4 Results
		4.1 Model Interpretation
	5 Conclusion
	References
A Review of Hyperspectral Image Classification with Various Segmentation Approaches Based on Labelled Samples
	1 Introduction
		1.1 Organization of the Paper
	2 Datasets and Metrics Used for Hyperspectral Image Classification
	3 Literature Survey
		3.1 Machine Learning Techniques
		3.2 Neural Network Techniques
		3.3 Analysis Dependent on Various Parameters
	4 Discussion
	5 Future Technologies
	6 Conclusion
	References
Improvements in User Targeted Offline Advertising Using CNN and Deviation-Based Queue Scheduling
	1 Introduction
	2 Related Work
	3 Proposed Work
		3.1 Overview
		3.2 Convolutional Neural Network
		3.3 Deviation-Based Queue Generation
	4 Results and Discussion
	5 Performance Comparison
		5.1 Overlapping Target Audience Problem
		5.2 Comparison of TARP 2.0 with Random Display and Display Using TARP
		5.3 Delay Time Comparison of TARP 2.0 with TARP
	6 Conclusion
	References
Movie Recommendation System Using Hybrid Collaborative Filtering Model
	1 Introduction
		1.1 Literature Survey
	2 Need and Applicability
		2.1 Need
		2.2 Applicability
	3 Proposed Approach
		3.1 Dataset Preparation
		3.2 Dataset Description
		3.3 Modeling
	4 Results
	5 Conclusion
	References
Hybrid Pipeline Infinity Laplacian Plus Convolutional Stage Applied to Depth Completion
	1 Introduction
		1.1 Related Works
	2 Method
		2.1 Used Metric
		2.2 Proposed Metric
	3 Practical Model Implementation
		3.1 Convolutional Stage
		3.2 Convolutional Stage for the Completed Depth Map
	4 Parameters Estimation
		4.1 Learning Curve for the Complete Pipeline
		4.2 Learning Curve for Median-Pipeline
		4.3 Learning Curve Convolutional Stage-Median-Pipeline Simplified Metric
		4.4 Learning Curve SC1-Median-Pipeline with Simple Metric
	5 Experiments and Dataset
		5.1 Dataset
		5.2 Experiments
	6 Results
	7 Discussion
	8 Conclusions
	References
A Novel Approach of DEMOO with SLA Algorithm to Predict Protein Interactions
	1 Introduction
	2 Methodology
		2.1 Feature Extraction
		2.2 Label Propagation Algorithm
		2.3 Incremental Depth Extension (INDEX) Approach
		2.4 Formation of a PPI Network
		2.5 Neighborhood Topology with Protein Interaction Prediction
		2.6 Functional Characteristics of Protein Interaction Prediction
		2.7 Predicting PPIs Using ASA
		2.8 Differential Evolution Algorithm for Multi-objective Optimization
		2.9 Stochastic Learning Automata (SLA)
	3 Results and Discussion
		3.1 Performance Measures
		3.2 Performance Comparison of Existing and Proposed Methods for DIP and SCOP Datasets
	4 Conclusion
	References
Economic Load Dispatch Problem with Valve-Point Loading Effect Using DNLP Optimization Using GAMS
	1 Introduction
	2 Economic Load Dispatch Mathematical Model
		2.1 Constraints
		2.2 Procedure
		2.3 Contributions of Proposed Method
	3 Results
	4 Conclusions
	References
Solar Radio Spectrum Classification Based on ConvLSTM
	1 Introduction
	2 Solar Radio Spectrum Dataset
		2.1 The Introduction of SBRS Dataset
		2.2 Dataset Extension
	3 Pre-processing of Solar Radio Spectrums
		3.1 Channel Normalization
		3.2 Down-Sampling
	4 Solar Radio Spectrum Classification Model Based on ConvLSTM
	5 Experiment Results and Analysis
	6 Conclusion
	References
Particle Swarm Optimization-Based Neural Network for Wireless Heterogeneous Networks
	1 Introduction
	2 Literature Survey
	3 Proposed Work
	4 Results
	5 Conclusion
	References
Impact Analysis of COVID-19 on Various Indian Sectors
	1 Introduction
	2 Literature Review
	3 Proposed Methodology
	4 Dataset
	5 Screen time Analysis
		5.1 Hypothesis Testing
	6 Industrial Analysis
		6.1 Information Technology
		6.2 Fast-moving Consumer Goods (FMCG)
		6.3 Hospitality
		6.4 Aviation
	7 Conclusion
	References
Emotion Recognition in Speech Using MFCC and Classifiers
	1 Introduction
	2 Lıterature Revıew
	3 Methodology
		3.1 Emotions
		3.2 Data
		3.3 Dataset
		3.4 Feature Extraction
		3.5 Mel-frequency Cepstral Coefficient
	4 Results
	5 Conclusion
	References
A Comparative Analysis on Image Caption Generator Using Deep Learning Architecture—ResNet and VGG16
	1 Introduction
	2 Related Works
	3 Comparison of Image Generator Using ResNet-50 and VGG16
		3.1 Image Preprocessing
		3.2 Image Feature Extraction
	4 Text Feature Understanding Using LSTM
	5 Results and Discussion
	6 Conclusion
	References
Corona Warrior Smart Band
	1 Introduction
	2 Literature Survey
	3 Block Diagram and Working Principle
	4 Implementation Platform
	5 Results
	6 Conclusion
	References
Cellular Learning Automata: Review and Future Trend
	1 Introduction
	2 Cellular Automata (CA)
	3 Learning Automata (LA) and Reinforcement Learning (RL)
	4 Cellular Learning Automata (CLA)
	5 Wireless Sensor and Actuator Networks (WSAN)
	6 Future Trends
	7 Conclusion
	References
Computer Vision and Machine Learning-Based Techniques for Detecting the Safety Violations of COVID-19 Scenarios: A Review
	1 Introduction
	2 Related Work
		2.1 Survey on Face Mask Detection
		2.2 Survey on Social Distancing Detection
		2.3 Survey on People Count Detection
		2.4 Comparison Table of Literature Review
	3 Outcome of Literature Review
	4 Datasets
	5 Challenges and Future Perspectives
	6 Conclusion
	References
Stigmergy-Based Collision-Avoidance Algorithm for Self-Organising Swarms
	1 Introduction
	2 Multi-agent Collision Avoidance Based on Stigmergy
	3 Numerical Experiments
	4 Conclusions
	References
Handling Security Issues in Software-defined Networks (SDNs) Using Machine Learning
	1 Introduction
	2 Need of SDN
	3 SDN and NFV
	4 Security Issues in SDN
		4.1 Hardware Security Issues
		4.2 Security Threats at Software Level
	5 Early Approaches for Securing SDN
		5.1 Intrusion Detection and Prevention System (IDPS) for SDN
		5.2 Intrusion Tolerant System (ITS) for SDN
		5.3 Stateful Firewall for SDN
		5.4 Framework for DDOS Detection and Prevention
	6 Securing SDN with Machine Learning
		6.1 Supervised ML for SDN
		6.2 Unsupervised ML Algorithm for SDN
		6.3 Semi-supervised Learning Approaches for SDN
		6.4 Machine Learning-based NIDS for SDN
	7 Issues in Existing ML-based SDN
	8 Conclusion
	9 Future Scope
	References
Multi-purpose Web Application Honeypot to Detect Multiple Types of Attacks and Expose the Attacker's Identity
	1 Introduction
	2 Related Work
	3 Methods Used
		3.1 Honeypot
		3.2 GUI
		3.3 Controller
		3.4 Models
		3.5 Sequence of Events
	4 Proposed System
		4.1 System Working
		4.2 Overcoming Brute Force Script Attack
		4.3 Overcoming Static Resource Attack
		4.4 Overcoming Web Scraping Script (WSS) Attack
		4.5 Overcoming GET/POST Request
		4.6 Advantages of the Proposed Method
	5 Experimental Results
	6 Conclusion and Future Scope
	References
An Empirical Approach for Tuning an Autonomous Mobile Robot in Gazebo
	1 Introduction
	2 Related Works
	3 Related Theory
		3.1 Sensors
		3.2 Light Detection and Ranging (LIDAR)
		3.3 Inertial Measurement Unit (IMU)
		3.4 Adaptive Monte Carlo Localization (AMCL)
		3.5 Navigation
	4 Methodology
		4.1 Costmap Parameters
		4.2 Planner Parameters
	5 Experimentation Result
	6 Result Analysis
	7 Conclusion
	References
An Investigation on Computational Intelligent Solutions for Highly Dynamic Wireless Sensor Networks
	1 Introduction
	2 Computational Intelligent Paradigms
		2.1 Fuzzy Logic (FL)
		2.2 Evolutionary Algorithms (EA)
		2.3 Artificial Neural Networks (ANN)
		2.4 Swarm Intelligence (SI)
	3 WSN Challenges
	4 Related Work
		4.1 CI Approaches for Energy Management
		4.2 Heuristic Solutions for Packet Routing
		4.3 Traffic Management with Channel Dynamics Using CI Methods
	5 Conclusion
	References
A Study of Underwater Image Pre-processing and Techniques
	1 Introduction
	2 Literature Review
	3 Types of Image Pre-processing
		3.1 Color Conversion
	4 Binarization
	5 Filtering
	6 Resizing
	7 Techniques of Underwater Image Processing
		7.1 Image Restoration
		7.2 Image Enhancement
		7.3 Contrast Stretching
		7.4 Histogram Equalization
		7.5 Segmentation
		7.6 Colorfulness Measure
	8 Result
	9 Discussion
	10 Conclusion
	References
Multilabel Text Classification of Scientific Abstract
	1 Introduction
	2 Related Work
		2.1 Methods Used
		2.2 Classification of Scientific Text
	3 Proposed Method
		3.1 Multilabel Text Classification Using Problem Transformation Approaches
		3.2 Multilabel Text Classification Using Deep Learning
	4 Experimental Setup and Results
		4.1 Datasets Used
		4.2 Metrics
		4.3 Evaluation Methodology
		4.4 Results and Inference
	5 Conclusion and Future Work
	References
Spirochaeta Bacteria Detection Using an Effective Semantic Segmentation Technique
	1 Introduction
	2 Literature Review
	3 Dataset
	4 Methodology
		4.1 Data Preprocessing
		4.2 Data Augmentation
		4.3 Model Architecture
		4.4 Model Implementation and Training
	5 Experiment Results and Discussion
	6 Conclusion and Future Scope
	References
An IoT-Based Intelligent Air Quality Monitoring System
	1 Introduction
	2 Survey of Existing Air Pollution Monitoring Systems
	3 Design and Implementation'
		3.1 Data Collection and Preprocessing
		3.2 Implementation of Mail Alerts
		3.3 Integration with Firebase
	4 Results and Analysis
		4.1 Dataset
		4.2 Random Forest
		4.3 Airquality Prediction Results
		4.4 Analysis
	5 Conclusion
	References
Machine Learning-Based Sentiment Analysis Towards Indian Ministry
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Corpus Collection and Dataset Description
		3.2 Dataset Cleaning
		3.3 Feature Vectorization
		3.4 Classifier Accuracy Deduction
		3.5 Optimal Classifier Determination
		3.6 Determining Public Sentiment Towards the Agricultural Ministry
	4 Experiment Results
	5 Discussion
	6 Conclusion
	7 Future Enhancements
	References
Detection and Prediction for Obstructive Sleep Apnea Recognition
	1 Introduction
	2 Related Work
	3 Material Methods
		3.1 Multimodal Approach and Feature Fusion
		3.2 Feature Selection
	4 Results and Discussions
	5 Conclusion
	References
A Comprehensive Study of Advances in Oral Cancer Detection Using Image Processing Techniques
	1 Introduction
	2 Modalities and Related Techniques
		2.1 Invasive Modality
		2.2 Minimally Invasive Modality
		2.3 Non-invasive Modality
		2.4 Other Approaches
	3 Methods
	4 Discussion and Comparison of Results
	5 Conclusion
	References
Training a Multilayer Perception for Modeling Stock Price Index Predictions Using Modified Whale Optimization Algorithm
	1 Introduction
	2 Literature Review
		2.1 Swarm Intelligence
	3 Whale Optimization Algorithm
		3.1 Original Whale Optimization Algorithm (WOA)
		3.2 Observed Drawbacks of the Basic WOA
		3.3 Modified Whale Optimization Algorithm (MWOA)
	4 Experimental Configuration
		4.1 Data
		4.2 ANN Model
	5 Results
	6 Conclusion
	References
Energy Saving Mechanism Using Extensive Game Theory Technique in Wireless Body Area Network (ES-EG)
	1 Introduction
	2 Related Works
		2.1 Related Works on Energy Conservation by Interference Mitigation
		2.2 Related Works on Energy Conservation by Transmission Power Control
		2.3 Related Works on Energy Conversation by Routing and Machine Learning Algorithm
		2.4 Related Works on Energy Conversation by Minimizing Eavesdropping and Distributed Framework
	3 Problem Statement
	4 Energy Saving Using Extensive Game Theory Algorithm (ES-EG)
		4.1 WBAN Setup
		4.2 Tier1 Evaluation Metrics for Energy Conservation in ES-EG Algorithm
		4.3 Interference Mitigation Model in Tier2
		4.4 Implementation of ES-EG
	5 Results and Discussion
		5.1 Implementation of ES-EG Algorithm in NS-3 Testbed
		5.2 Performance Metrics of ES-EG Algorithm
	6 Conclusion and Future Work
	References
Performance Analysis of Routing Methods for Unmanned Aerial Vehicle Network
	1 Introduction
	2 Related Work
	3 Routing Methods for UAV Network
		3.1 Adhoc On-Demand Distance Vector (AODV) Routing Method
		3.2 Optimized Link State Routing (OLSR) Method
		3.3 Direct Sequenced Distance Vector (DSDV) Routing Method
	4 Simulation
		4.1 Simulation Background
		4.2 Performance Metrics
		4.3 Simulation Metrics
		4.4 Simulation Results
		4.5 Simulation Result Analysis
	5 Conclusion and Future Scope
	References
Study of Classification Algorithms for Handwritten Character Recognition
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Dataset Description
		3.2 Data Preprocessing
		3.3 Model Building
		3.4 Prediction
	4 Results and Discussion
	5 Conclusion
	References
A Hybrid Multiclass Classifier Approach for the Detection of Malicious Domain Names Using RNN Model
	1 Introduction
	2 Literature Survey
	3 Proposed Methodology
	4 Dataset Collection
	5 Experiments and Results
	6 Conclusion
	7 Future Work
	References
Brain Tumor Detection and Classification Using Transfer Learning Technique
	1 Introduction
	2 Literature Review
	3 Methodology
	4 Experimental Results
		4.1 Confusion Matrix and Metrics
	5 Discussion
	6 Conclusion
	References
A Comprehensive Survey of AI Methods to Predict Adverse Drug-Drug Interactions
	1 Introduction
	2 About the Technology: Convolutional Neural Networks (CNNs)
	3 Drug–Drug Interaction and Adverse Drug Reaction
	4 Different Machine Learning and Deep Learning Techniques for DDI and ADR
	5 Proposed System—Results of Experimentation
	6 Challenges and Scope for Further Research
	7 Conclusion
	References
Feature Selection Using PSO Optimized-Framework with Machine Learning Classification System via Breast Cancer Survival Data
	1 Introduction
	2 Related Work
		2.1 Dimensionality Reduction Issue
	3 Methodology
		3.1 Classification Measure Representation
		3.2 Description of Breast Cancer Dataset
	4 Classification Algorithms in Machine Learning
		4.1 Supervised-based Learning Algorithms
	5 Feature Selection—PSO
	6 Experimental Results and Discussion
		6.1 Performance of Classifiers WITHOUT- FS
		6.2 Performance of Classifiers WITH- FS
		6.3 Comparative Analysis – Phase
	7 Conclusion and Future Work
	References
Inception-Based CNN for Low-Light Image Enhancement
	1 Introduction
	2 Related Works
	3 Proposed Methods
	4 Results and Discussions
	5 Conclusions
	References
Quantum Grid: Toward Future Energy Transformation
	1 Introduction
	2 Architecture
		2.1 Business Plane
		2.2 Routing and Control Plane
		2.3 Power Plane
	3 Structure of the Quantum Grid
	4 Energy Internet
	5 Energy Packets (EP)
		5.1 Principle of Quantized Energy Flow
		5.2 Measurement and Analysis of Energy Packets
	6 Challenges in Energy Internet (EI)
	7 Routing of Energy Packets
	8 Quantum Grid (QG) Application
	9 Conclusion
	References
Computer Vision in Autoimmune Diseases Diagnosis—Current Status  and Perspectives
	1 Introduction
	2 Computer Vision Application per Disease
		2.1 Psoriasis
		2.2 Rheumatoid Arthritis
		2.3 Pemphigus
		2.4 Lupus
		2.5 Scleroderma
		2.6 Vitiligo
		2.7 Inflammatory Bowel Diseases
		2.8 Thyroid Eye Disease
		2.9 Multiple Sclerosis Disease
		2.10 Alopecia
	3 Conclusion
	References
Covariance Features Improve Low-Resource Reservoir Computing Performance in Multivariate Time Series Classification
	1 Introduction
	2 Methods
		2.1 Reservoir Implementation
		2.2 Features and Logistic Regression as Readout
		2.3 Synthetic Datasets
		2.4 Spoken Digits Datasets
	3 Results
		3.1 Covariance-Based Readouts Capture a Larger Diversity of Input Structures
		3.2 Covariance-Based Decoding Is Efficient for Spoken Digits Recognition
	4 Discussion
	References
Wireless Sensor-Based Enhanced Security Protocol to Prevent Node Cloning Attack
	1 Introduction
	2 Background Study
	3 Proposed Methodology
		3.1 Key Initialization Module
		3.2 Message Authentication Module
		3.3 Generation of Master Key and Location-Based Key
	4 Security Analysis
		4.1 Node Cloning Attack
		4.2 Man in Middle
		4.3 Replay Attack
		4.4 Silent Attack
	5 Results and Discussions
	6 Conclusion
	References
A Deep Convolutional Neural Network-Based Speech-to-Text Conversion for Multilingual Languages
	1 Introduction
	2 Literature Review
	3 Proposed Methodology
		3.1 Dataset
		3.2 Time Frequency Convolution
		3.3 Convolutional Neural Networks
	4 Results and Discussion
		4.1 Performance Metrics
		4.2 Performance Analysis of Proposed CNN
	5 Conclusion
	References
A Novel Dual Model Approach for Categorization of Unbalanced Skin Lesion Image Classes
	1 Introduction
	2 Related Work
	3 Preliminaries
		3.1 Dataset
		3.2 Image Preprocessing and Normalization
		3.3 Hair Noise Removal
		3.4 Data Augmentation
		3.5 Transfer Learning
	4 Proposed Methodology
		4.1 Transfer Learning Models Implementation
		4.2 Vanilla CNN Implementation
		4.3 Testing
	5 Results
	6 Conclusion and Future Scope
	References
A Study of Green Information Technology Using the Bibliometric Analysis
	1 Introduction
	2 Research Methods
	3 Results and Discussion
		3.1 Green Information Technology Study Most Common Affiliations Organizational
		3.2 Green Information Technology Publications Most Individual Researcher
		3.3 Green Information Technology Study Most Common Nation
		3.4 The Subject Area Frequency of Green Information Technology Study
		3.5 Year Documents of Green Information Technology Publication Sources
		3.6 The Green Information Technology Sector’s Annual Publications
		3.7 Document Cited of Green Information Technology Publications
		3.8 Study Theme Map
	4 Conclusion
	References
Node Sleep Strategy for Improvement of Energy Efficiency in Wireless Multimedia Sensor Networks
	1 Introduction
	2 Literature Review
	3 Proposed Algorithm for System
	4 Simulation Result of System
	5 Conclusion and Future Scope
	References
Analysis of Greenness in Urban Cities Using Supervised and Unsupervised Classification
	1 Introduction
	2 Material and Software
	3 Methodology
		3.1 Pre-processing
		3.2 Supervised Classification
		3.3 Signature Files in Supervised Classification
		3.4 Unsupervised Classification
	4 Results and Discussion
	5 Conclusion
	References
Sequence Models for Crop Yield Prediction Using Satellite Imagery
	1 Introduction
	2 Related Research
	3 Dataset and Method
		3.1 Correlation Analysis
		3.2 Feature Engineering
		3.3 Models
	4 Results and Discussion
	5 Conclusion and Future Works
	References
A Comparative Study of Word Embedding Techniques in Natural Language Processing
	1 Introduction
	2 Word Embeding
	3 Related Work
		3.1 TF-IDF Representation
	4 Comparison of Various Representation Techniques
	5 Implementation
	6 Results
	7 Conclusion
	References
A Taxonomy on Strategic Viewpoint and Insight Towards Multi-Cloud Environments
	1 Introduction
	2 Literature Review
	3 Real-Time Problems in Cloud Storage
	4 Conclusions
	References
Instant Recipe Generation from Food Images
	1 Introduction
	2 Related Work
	3 Proposed Work
		3.1 Dataset Creation
		3.2 Feature Extraction
		3.3 Input Image Feature Extraction
		3.4 Recipe Generation—Search Module
	4 Web Application
	5 Evaluation and Results
		5.1 Evaluation
		5.2 Results
	6 Conclusion and Future Work
		6.1 Conclusion
		6.2 Future Work
	References
Breast Cancer Diagnosis Using Quantum-Inspired Classifier
	1 Introduction
	2 Input Preprocessing and Data Exploration
		2.1 Input Data for Evaluation
		2.2 Input Data Exploration and Analysis
		2.3 Normalization and Outlier Removal
	3 Classification Algorithms
		3.1 Linear Discriminant Analysis (LDA)
		3.2 Gaussian Naive Bayes (GNB)
		3.3 Support Vector Machine (SVM)
		3.4 Helstrom Quantum Centroid (HQC) Algorithm
	4 Results and Discussion
	5 Conclusion and Future Work
	References
Predictive Analysis Model for Mental Health
	1 Introduction
	2 Related Work
	3 Proposed Methodology
		3.1 Twitter
		3.2 Reddit
		3.3 NB Classifier
		3.4 Design of the Model
		3.5 Dataset Preparation
	4 Testing and Results
	5 Conclusion and Future Work
	References
Detection and Counting of Fruit from UAV RGB Images Using Computer Vision
	1 Introduction
		1.1 Problem Statement
		1.2 Proposition
	2 Coverage Path Planning
		2.1 Application
	3 Fruit Counting
	4 Results and Discussions
	5 Conclusion
	6 Acknowledge
	References
Efficient Segmentation of Tumor and Edema MR Images Using Optimized FFNN Algorithm
	1 Introduction
	2 Related Work
	3 Proposed Methodology
		3.1 Preprocessing
		3.2 Median Filtering
		3.3 Feature Extraction
		3.4 Classification Using Cuckoo Search Optimized FFNN
		3.5 Segmentation
	4 Results and Discussion
	5 Conclusion
	References
A Survey on Brain Computer Interface: A Computing Intelligence
	1 Introduction
	2 BCI System Components
	3 BCI Types and Signal Acquisition
		3.1 Invasive Methods
		3.2 Partial Invasive Methods
		3.3 Non-invasive Methods
	4 Applications
	5 Challenges
	6 Conclusion
	References
A Survey on Security and Privacy in Social Networks
	1 Introduction
	2 Comparison of Algorithms
	3 Conclusions
	4 Future Enhancement
	References
A Novel Video Reconstruction of Randomized Frames Using ORB Descriptor
	1 Introduction
	2 Related Work
	3 Proposed Video Reconstruction Algorithm
		3.1 Preprocessing and Feature Extraction
		3.2 Distance Estimation
		3.3 Sorting
	4 Experimental Results and Discussion
		4.1 Performance Metrics
		4.2 Robustness to Rotation
		4.3 Robustness to Noise
	5 Conclusion
	References
Prediction of the Wind Turbine Performances Using BEM Model Coupled to CFD Method
	1 Introduction
	2 Analysıs and Modelıng
		2.1 CFD Simulation
		2.2 BEM Model
		2.3 Tip Loss Correction
		2.4 BEM-CFD Coupling Method
	3 Results and Discussion
	4 Conclusion
	References
Development of Novel Face Recognition Techniques for VGG Model by Using Deep Learning
	1 Introduction
	2 Literature Survey
	3 Proposed Work
		3.1 VGG Model Architecture
	4 Pseudocode
	5 Software Execution Results
	6 Hardware Execution Results
		6.1 Firebase Results
		6.2 WhatsApp Results
	7 Conclusion
	References
Enhanced Deep Hierarchical Classification Model for Smart Home-Based Alzheimer Disease Detection
	1 Introduction
	2 Related Work
	3 CASAS Dataset Description
	4 Hierarchical Classification
	5 Methodology: Enhanced Deep Hierarchical Classification for Alzheimer Disease Detection
		5.1 Function of Flat Neural Network
		5.2 Function of Hierarchical Embedding Network
		5.3 Function of Hierarchical Loss Network
	6 Results and Discussions
		6.1 Performance Comparison Based on Accuracy
		6.2 Performance Comparison Based on Precision
	7 Conclusion
	References
SSO: A Hybrid Swarm Intelligence Optimization Algorithm
	1 Introduction
	2 Spider Squirrel Optimization
		2.1 Implementation of SSO
	3 Experimentation and Results
		3.1 Test Problems and Parameters Setting
		3.2 Comparing Results of SSO with SMO, SSA, PSO and ABC
	4 Conclusions
	References
Author Index