Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021) (Lecture Notes in Networks and Systems, 417)

Preface
SoCPaR – NaBIC 2021 Organization
	General Chairs
	Program Chairs
	Publication Chairs
	Special Session Chair
	Publicity Chairs
	International Publicity Team
	Program Committee
Contents
Soft Computing and Pattern Recognition
Performance Enhancement of Action Recognition System Using Inception V3 Model
	1 Introduction
		1.1 Brief History and Need for Action Recognition Systems
		1.2 Types of Activity Recognition Approaches
	2 Activity Recognition Applications
	3 Problem Identification
		3.1 Flaws in Prior Systems
		3.2 Problem Identification
		3.3 Research Gap
	4 Proposed Methodology
		4.1 Proposed Work
	5 Implementation Details and Results
		5.1 Software/Platform Requirements
		5.2 Performance Metrics
		5.3 Jupyter Notebook
		5.4 Datasets
		5.5 Experimental Setup
		5.6 Individual-Class Mapping
		5.7 Grouped-Class Mapping
		5.8 Result Analysis
	6 Conclusion and Future Work
	References
Synchronized Conceptual Representations in Unsupervised Generative Learning
	1 Introduction
	2 Methods
		2.1 Deep Convolutional Autoencoder
		2.2 Data
		2.3 Training
	3 Synchronized Conceptual Representations: Methodology
		3.1 Conceptual Representations
		3.2 Symbolic Representations
		3.3 Synchronized Representations
	4 Results
		4.1 Conceptual Representations
		4.2 Symbolic Representations
		4.3 Synchronized Representations
	5 Conclusions
	References
The Xoshiro+ Pseudorandom Number Generator in a Computer Chess Program
	1 Introduction
	2 Stockfish
		2.1 Bitboard
		2.2 Search Function
		2.3 Evaluation Function
		2.4 NNUE
	3 Pseudo Random Number Generators
		3.1 Applications in Computer Chess Programs
		3.2 Xorshift
		3.3 Xoshiro
	4 Xoshirofish
		4.1 Implementation
		4.2 Testing Method
		4.3 Time Control
		4.4 Test Setup
	5 Results
		5.1 Test 1
		5.2 Test 2
		5.3 Interpretation
	6 Conclusions
	References
IISCAN: Index-Based Incremental Structural Clustering Technique for Billion-Edge Graphs
	1 Introduction
		1.1 Contribution
	2 Related Work
	3 Preliminary
		3.1 The Drawback of Non-indexing Techniques
	4 Index-Based Incremental Structural Clustering Technique for Billion-Edge Graphs (IISCAN)
		4.1 CSS-Index Builder
		4.2 Incremental Structural Clustering
	5 Experimental Analysis
		5.1 Experimental Setup
		5.2 Dataset
		5.3 Experimental Results
	6 Conclusion
	References
Using a Data Mining Approach to Detect Automobile Insurance Fraud
	1 Introduction
	2 The Proposed Methodology
	3 Empirical Analysis and Results
		3.1 Preprocessing
		3.2 Classification
		3.3 Experimental Results
	4 Comparative Analysis
	5 Conclusion
	References
Arabic Fricative Consonants Characterization According to Places of Articulation
	1 Introduction
	2 Methodology
		2.1 Corpus
		2.2 Signal Processing
		2.3 Energy Calculation
	3 Results and Discussion
	4 Conclusion
	References
Stance Detection on Vietnamese Social Media
	1 Introduction
	2 Related Work
	3 Proposed Methods for Vietnamese Stance Detection
		3.1 Traditional ML Methods
		3.2 Deep Learning Architectures
	4 Experiments
		4.1 Corpus Construction
		4.2 Data Preprocessing
		4.3 Experimental Setups
		4.4 Experimental Results
		4.5 Error Analysis and Discussion
	5 Conclusion
	References
Perception of Autonomous Vehicle for Localization Using Camera and GPS
	1 Introduction
	2 Overview of Proposed Localization Techniques
		2.1 Physical Landmark Localization
		2.2 Unique Physical Pole Landmark Localization
	3 Methodology
		3.1 Data Acquisition
		3.2 Pre–Processing of Data
		3.3 Landmark Detection Using Computer Vision
		3.4 GPS Data Extraction Using the Sensor
		3.5 Finding Nearest Landmark Using Stored Data
		3.6 Distance Calculation
	4 Results and Analysis
		4.1 GPS Location Prediction from the Scene
		4.2 Predicting Nearest Landmark
		4.3 Distance Calculation
		4.4 Error Analysis
	5 Conclusion
	References
EMG-CapsNet: Elu Multiplication Gate Capsule Network for Complex Images Classification
	1 Introduction
	2 Related Work
	3 Proposed Advanced Capsule Network
		3.1 Routing by Agreement Algorithm
		3.2 Exponential Linear Unit (ELU)
		3.3 ELUgate
	4 Experiments and Results
	5 Conclusion
	References
Privacy-Preserving kNN Spatial Query Using Voronoi Diagram
	1 Introduction
	2 Related Work
	3 System Architecture
		3.1 Overview of the Proposed Approach
		3.2 Data Transformation
		3.3 KNN Query Processing
	4 Experiment Results
		4.1 Candidate Set Redundancy
		4.2 Pattern of Redundancy
		4.3 Redundancy and Grid Size
		4.4 Query Processing Time
	5 Conclusion
	References
Analysis of Feature Selection Method for 3D Molecular Structure of Amphetamine-Type Stimulants (ATS) Drugs
	1 Introduction
	2 Related Work
	3 Feature Selection
		3.1 Wrapper Methods
	4 Data Collection
	5 Performance Measurements
	6 Proposed Method
		6.1 Classification Algorithms
	7 Result and Discussion
	8 Conclusion
	References
An Efficient Deep Self-learning Artificial Orca Algorithm for Solving Ambulance Dispatching and Calls Covering Problem
	1 Introduction
	2 Related Works and Problem Definition
	3 Preliminaries
		3.1 Artificial Orca Algorithm (AOA)
		3.2 Mutation Operators
	4 Deep Self-learning Artificial Orca Algorithm
	5 Adaptation of the Problem to the Proposed Approach
		5.1 Solution Description
		5.2 Dynamicity Modeling
	6 Experiments and Results
		6.1 Dataset Description
		6.2 Comparison and Results
	7 Conclusion
	References
Knee Abnormality Diagnosis Based on Electromyography Signals
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Database Acquired
		3.2 Pre-processing and Feature Extraction
		3.3 Classification
	4 Results and Discussion
	5 Conclusion
	References
Enhanced LPQ Based Two Novel Blur Invariant Face Descriptors in Light Variations
	1 Introduction
	2 Related Works
	3 Description of Auxiliary Descriptors
		3.1 Local Binary Pattern (LBP)
		3.2 Horizontal Elliptical LBP (HELBP)
		3.3 Neighborhood Intensity based LBP (NI-LBP)
		3.4 Local Phase Quantization (LPQ)
		3.5 Multiscale LPQ (MLPQ)
		3.6 6 × 6 Multiscale Block-LBP (6 × 6 MB-LBP)
	4 Description of Proposed Descriptors with FR Frameworks
		4.1 Enhanced LPQ1 (ELPQ1)
		4.2 Enhanced LPQ2 (ELPQ2)
		4.3 The FR Frameworks
	5 Experiments Evaluation
		5.1 Illustration of Datasets
		5.2 Details Concerning to Feature Size for All Descriptors
		5.3 Accuracy Analyzed on 2 Datasets
		5.4 ACC Comparison with Literature Methods
	6 Conclusion with Future Scope
	References
Classification of Fungi Infected Annona Squamosa Plant Using CNN Architectures
	1 Introduction
	2 Literature Survey
	3 Dataset Description
	4 Materials and Methods
	5 Experimental Results
	6 Conclusions
	References
Multi-pedestrian Tracking and Person Re-identification
	1 Introduction
	2 Methodology
		2.1 Boosting Algorithm
		2.2 MIL (Multiple Instance Learning) Tracker
		2.3 KCF (Kernelized Correlation Filter) Tracker
		2.4 TLD (Tracking Learning Detection) Tracker
		2.5 GOTURN (Generic Object Tracking Using Regression Networks) Tracker
	3 Implementation Details
		3.1 Pre-processing
		3.2 Haar Cascade
		3.3 YOLO
		3.4 DeepSORT
	4 Results and Discussion
	5 Conclusion
	6 Future Scope
	References
Prediction of Violence Against Adolescent Girls Using Machine Learning Techniques
	1 Introduction
	2 Literature Review
	3 Data Collection
	4 Method
		4.1 Scoring Pattern
		4.2 Range
	5 Methodology
		5.1 Data Pre-processing
		5.2 Attribute Reduction
		5.3 Machine Learning Techniques Used for Prediction
	6 Summary
	7 Conclusion
	References
Automated Diagnosis of Diseases Using Integrated Machine Learning Approaches
	1 Introduction
	2 Related Works
	3 Automated Disease Inference System
		3.1 Data Collection
		3.2 Data Preprocessing
		3.3 Minimum Redundancy Maximum Relevance Feature Selection
		3.4 Deep Learning Method
		3.5 Support Vector Machine Method
		3.6 Decision Tree Method
		3.7 Ensemble Method
		3.8 Question and Answer Module
	4 Results and Discussion
	5 Conclusion
	References
Investigation of Results Using Various Databases and Algorithms for Music Player Using Speech Emotion Recognition
	1 Introduction
	2 Proposed System
		2.1 Speech Emotion Recognition
		2.2 Feature Extraction
		2.3 Probabilistic Neural Network Classifier
		2.4 Training and Validation
	3 Results and Discussion
		3.1 Comparison with Existing Systems
		3.2 Comparison with Other Algorithms
	4 Conclusion
	References
Securing Surveillance Data Using Incremental Cryptography
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Proposed System
		3.2 Encryption Algorithm
		3.3 Hill Cipher
		3.4 Generation of Involutory Key Matrix
		3.5 Image Encryption Using AdvHill Technique
		3.6 Algorithm AdvHill
		3.7 Decryption Algorithm
		3.8 Incremental Algorithm
	4 Experimental Result and Analysis
		4.1 Histogram Analysis
		4.2 Entropy Analysis
		4.3 Time Complexity
		4.4 Key Sensitivity Analysis
	5 Conclusion and Future Works
	References
Blockchain Based Fictitious Detection in Social Media
	1 Introduction
		1.1 Blockchain
		1.2 Types of Blockchain
	2 Literature Review
		2.1 EANN-Event Adversarial Neural Networks for Multi-modal Fake News Detection
		2.2 Early Detection of Fake News on Social Media Through Propagation Path Classification with Recurrent and Convolutional Networks
		2.3 CNN-Convolutional Neural Networks for Fake News Detection
		2.4 Spot Fake - A Multi-modal Framework for Fake News Detection
		2.5 Fighting Fake News-Image Splice Detection via Learned Self- consistency
		2.6 Fake News Tracker-A Tool for Fake News Collection, Detection and Visualization
	3 System Design
		3.1 Proposed System
	4 Architecture
	5 Implementation
		5.1 Utility Module
		5.2 Article Post Module
		5.3 Spam Flag Module
		5.4 Naive Bayes Classification
		5.5 News Room Module
		5.6 AES Encryption
		5.7 Operation of AES
	6 Conclusion
	7 Future Scope
	References
Comparison of Triangular Meshes Using Shape Functions and MSA
	1 Introduction
	2 Processed Objects
		2.1 Etalons and Their Formats
		2.2 Meshes Preprocessing
	3 Shape Functions
	4 Shape Distribution
	5 Comparison of Shape Distributions
	6 Measurement System Analysis
		6.1 Calculation of Ranges and Range Diagram Construction
	7 Experimental Results
	8 Conclusion
	References
AI Methods Used for Real-Time Clean Fraud Detection in Instant Payment
	1 Introduction
	2 State of the Art
		2.1 The Evolution of Card Payment
		2.2 Instant Payment Journey
		2.3 Existing Fraud Detection Gaps
		2.4 Payment Fraud Types
	3 Related Works
		3.1 Online Payment Fraud Detection AI Proposals
	4 Conclusion
	References
Predicting Taxi Travel Time Using Machine Learning Techniques Considering Weekend and Holidays
	1 Introduction
	2 Literature Survey
	3 Methodology
	4 Results and Discussion
	5 Conclusion
	References
Modeling Effect of Lockdowns and Other Effects on India Covid-19 Infections Using SEIR Model and Machine Learning
	1 Introduction
	2 Background and Related Work
		2.1 SEIR Model: Original SEIR Equations
		2.2 Related Work on Modeling of Covid-19
		2.3 Related Work on Modeling the Effect of Lockdowns
	3 Our Approach
		3.1 SEIR Model: Modified for Effect of Lockdowns
		3.2 SEIR Model: Modified for Effect of Vaccination
		3.3 SEIR Model: Modified for Effect of Second Infection
	4 Dataset and Parameters Used
	5 Results of the Curve Fitting
	6 Conclusion and Further Work
	References
Cost Optimization of Hybrid Renewable Energy System Based on Nature-Inspired Search Method
	1 Introduction
	2 Related Works
	3 Methodology and Proposed Framework
		3.1 Improve Rule
		3.2 Reduce Rule
		3.3 Check Rule
	4 Algorithm to Implement the Proposed Solution
	5 Parameter Setting
	6 Simulation Results
	7 Conclusion
	References
Data Warehousing and Mining for Climate Change: Application to the Maghreb Region
	1 Introduction
	2 Background on Data Warehousing
		2.1 Data Warehouse Architecture
	3 Related Work
	4 Building a Data Warehouse for Climate Change in Maghreb Region
		4.1 The Data Warehouse Architecture
		4.2 The Conceptual Model
		4.3 Description of the Generated Dataset
	5 Experiments
		5.1 Data Collection and Dataset Preparation
		5.2 A Web Interface for Data Collection
		5.3 Preliminary Data Mining Results
	6 Conclusion
	References
A Machine Learning Approach for Steel Surface Textural Defect Classification Based on Wavelet Scattering Features and PCA
	1 Introduction
	2 Literature Work
		2.1 Defect Classification from Textured Surface in Steel Manufacturing
		2.2 Wavelet Scattering
		2.3 Significance of Texture in Defect Detection
	3 Steel Surface Defect Classification Based on Wavelet Scattering Features and PCA - Proposed Method
		3.1 Unsharp Masking
		3.2 Wavelet Scattering Feature Extraction
		3.3 Principal Component Analysis (PCA)
	4 Experimental Results and Analysis
		4.1 NEU Dataset
	5 Conclusion
	References
A Novel Emoji Based Deep Super Learner (EDSL) for Sentiment Classification
	1 Introduction
	2 Related Work
	3 The Proposed EDSL Approach
	4 Research Methodology
		4.1 Datasets Used
		4.2 Working of the Proposed EDSL Model
	5 Results
		5.1 Performance of EDSL on ‘SentiEmoji2021’ Dataset
		5.2 Performance of EDSL on Benchmark Datasets
	6 Discussion
	7 Conclusion
	References
A Detailed Review of Recent Advancements in Assistive Technologies for Blind People
	1 Introduction
	2 Various Techniques Available to Assist Blind
		2.1 Visual Imagery Systems
		2.2 Stereophonic Camera
		2.3 IP Camera Network
		2.4 Visual Simultaneous Mapping (VS-LAM)
		2.5 Red Green and Blue-D Photographic Camera
	3 Various Products Available in the Market to Assist Blind People
		3.1 Mpatic
		3.2 Horus
		3.3 MyEye 2.0
		3.4 Olli
		3.5 eSight
		3.6 IrisVision
	4 Challenges and Future Research Scope
	5 Conclusion
	References
Addressing Sustainable Supply Chain Network Using Stackelberg Game
	1 Introduction
	2 Literature Review
		2.1 Sustainable Supply Chains
		2.2 Supply Chain Risk of Management
		2.3 Stackelberg Competition
	3 Model
		3.1 Revenue Sharing Model
		3.2 Buyback Model
	4 Analysis and Findings
	5 Numerical Analysis
		5.1 Revenue Sharing Analysis
		5.2 Buyback Analysis
	6 Conclusion and Future Works
	References
Implementation of Structural Topic Modelling for Abstract Mining from CORD – 19
	1 Introduction
	2 Recent Research on CORD – 19
	3 Data Retrieved from CORD – 19 for the Study
	4 Methodology
	5 Results and Discussion
		5.1 Estimation with Topical Prevalence Parameter
		5.2 Topical Labelling
		5.3 Topical Content and Relationship
		5.4 Topic Correlation
	6 Conclusion
	References
Forecasting of COVID-19 Cases in INDIA Using ARIMA and AR Time-Series Algorithm
	1 Introduction
	2 Literature Review
	3 Research Methodology
		3.1 ARIMA and AR Model Description
	4 Data and Model Simulation
	5 Results
	6 Conclusion
	References
Quality Evaluation of Cloud Services Using MCDM Techniques: A Comparative Analysis
	1 Introduction
	2 Related Work
	3 Criteria Weighting Method: AHP
	4 Multi Criteria Decision Making (MCDM) Methods
		4.1 Weighted Sum Method (WSM)
		4.2 Multi-Objective Optimization by Ratio Analysis (MOORA)
		4.3 Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)
		4.4 Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE)
		4.5 COmplex PRoportional ASsessment (COPRAS)
	5 Experimental Results
		5.1 Data Set
		5.2 AHP
		5.3 WSM
		5.4 MOORA
		5.5 TOPSIS
		5.6 PROMETHEE
		5.7 COPRAS
		5.8 Discussion on Result
	6 Conclusion
	References
Support Vector Machines for Control of Multimodal Processes
	1 Introduction
	2 State of the Art
	3 Methods
	4 Experiments
		4.1 Synthetic Data Generation
		4.2 Evaluation of Methods
		4.3 Results
	5 Discussion and Conclusion
	6 Future Work
	References
Detecting Near Duplicate Dataset
	1 Introduction
	2 Problem Description
	3 Features
	4 Algorithms
	5 Experiments
		5.1 Influence of  Parameter
		5.2 Influence of the Number of Columns
		5.3 Evaluating Multiple Classifier
	6 Results
	7 Conclusion
	References
On-demand Data Analytics Support for Hemorrhagic Stroke Patients Using Wearable IoT Device and Fog Computing Technology
	1 Introduction
	2 Related Works
	3 Our On-demand Data Analytics Support System for Hemorrhagic Stroke Patients
		3.1 The Sensor Sub-system
		3.2 The Signal Processing Sub-system
		3.3 The Database Sub-system
	4 Evaluation Results and Discussion
	5 Conclusions
	References
Analysis of Contrast and Luminous Enhancement Algorithms on Colour Retinal Fundus Images
	1 Introduction
		1.1 Related Work
	2 Methodology
		2.1 Datasets
		2.2 Colour Model
		2.3 Histogram-Based Algorithms
	3 Experimental Setup and Implementation
		3.1 Evaluation Metrics
	4 Results and Discussion
		4.1 Quantitative Evaluation
		4.2 Qualitative Evaluation
	5 Conclusion and Future Work
	References
Improving Amphetamine-Type Stimulants Drug Classification Using Binary Whale Optimization Algorithm as Relevant Descriptors Selection Technique
	1 Introduction
	2 Binary Whale Optimization Algorithm (BWOA)
		2.1 Transfer Functions
		2.2 Fitness Function
	3 3D-Exact Legendre Moment Invariants (3D-ELMI) Molecular Descriptors Dataset
	4 Method
	5 Results and Discussion
	6 Conclusions and Future Works
	References
Smart Gloves Controller for Drones Using Raspberry Pi & NodeMCU
	1 Introduction
	2 Literature Review
	3 Research Methodology
	4 Proposed Models
		4.1 Implementing Complementary Filter
		4.2 Workflow of Proposed Hand Glove-Controlled Drones
		4.3 A Simulator to Demonstrate the Gesture Controller
	5 Result
	6 Conclusion
	References
Machine Learning and Image Processing Techniques for Covid-19 Detection: A Review
	1 Introduction
	2 Image Processing
	3 Methods for Machine Learning Technique
	4 Comparative Study Table
	5 Conclusion
	References
Early Stage Diabetes Risk Prediction via Machine Learning
	1 Introduction
	2 Related Work
	3 System Development
	4 Experimental Results
	5 Conclusions
	References
Learning Students\' Intents for Better Conversations
	1 Introduction
	2 Related Work
	3 Corpus Generation
	4 Building Intent Detection Models
		4.1 A Data Augmentation Technique
	5 Experiments
		5.1 Experimental Setups
		5.2 Experimental Results
	6 Conclusion
	References
A Review on Using Predictive Analytics to Determine the Severity of Anaphylaxis
	1 Introduction
	2 Predictive Analysis
	3 Literature Review
	4 Results and Discussion
	5 Conclusion and Future Research Directions
	References
Binary Emotion Classification of Music Using Deep Neural Networks
	1 Introduction
	2 Literature Review
	3 Materials and Methods
		3.1 Music4All Dataset
		3.2 Mood Representation
		3.3 Analysis of Relevant Features
		3.4 Deep Learning Approach
	4 Training and Evaluation
	5 Conclusion and Future Work
	References
An Experimental Study for Monitoring the Changes in the Brain Stroke Images Using Image Similarity Measures
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Structural Similarity (SSIM)
		3.2 Root Mean Square (RMSE)
		3.3 Peak Signal to Noise Ratio (PSNR)
		3.4 Universal Quality Index (UQI)
		3.5 Spatial Correlation Co-Efficient (SCC)
		3.6 Euclidean Distance (ED)
	4 Experimental Results
	5 Conclusion
	References
A Novel Educational Video Retrieval System Based on the Textual Information
	1 Introduction
	2 Proposed Scheme
		2.1 Frame Extraction
		2.2 Scene Change Detection
		2.3 Optical Character Recognition (OCR)
		2.4 Pattern Matching
		2.5 Output Module
	3 Experimental Study and Result Analysis
	4 Conclusion
	References
Enhancing Epidemiological Surveillance Systems Using Dynamic Modeling: A Scoping Review
	1 Introduction
		1.1 Epidemiological Surveillance Systems
	2 Modelling Techniques in Epidemiological Surveillance Systems
		2.1 Dynamics of Infectious Disease Outbreak
		2.2 Complex Adaptive Systems
		2.3 Non-linearity in Complex Systems
	3 Dynamic Modelling for Infectious Disease Outbreak
	4 Conclusion
	References
Hybrid Encoder-Decoder Model for Retinal Blood Vessels Segmentation
	1 Introduction
	2 Methodology
		2.1 Datasets
		2.2 Data Preparation and Pre-processing
		2.3 Data Augmentation
		2.4 Proposed Network Architecture
	3 Experimental Detail
		3.1 Experimental Environment
		3.2 Network Training and Optimization
		3.3 Evaluation Metrics
	4 Results and Discussion
	5 Conclusion and Future Research
	References
Skin Cancer Detection Using Transfer Learning and Ensemble Modelling – An Assessment
	1 Introduction
	2 Background
	3 General Architecture
		3.1 Pre-processing
		3.2 Training Model
		3.3 Prediction
		3.4 Evaluating the Models Individually on Validation Data
		3.5 Evaluating the Models Together on Validation Data – Ensembling the Models
		3.6 Evaluating the Models Individually on Testing Data
		3.7 Evaluating the Models Together on Testing Data
		3.8 Localization
	4 Experimental Results and Comparative Study
		4.1 Data Selection
		4.2 Comparative Study
	5 Conclusion
	References
An Efficient Thyroid Disease Prediction System – A Study
	1 Introduction
	2 Literature Survey
	3 General Architecture
	4 Comparative Study
	5 Conclusion
	References
Malignancy Detection in Breast Histo-Images Using Multi-layer Perceptron
	1 Introduction
		1.1 Problem Domain and Objective
	2 Literature Survey
	3 Research Methodology
		3.1 Histo-Image Processing
		3.2 Multi-layer Perceptron (MLP)
	4 Data Simulation and Results
		4.1 Dataset Description
		4.2 Histo-Image Processing and Feature Extraction
		4.3 MLP Simulation and Result
		4.4 Results and Discussion
	5 Conclusion
	References
Design and Implementation of Edge Detection Algorithms Using FPGA
	1 Introduction
	2 Literature Survey
	3 Design Methodology
	4 Implementation
	5 Results and Discussion
	6 Conclusion
	References
Nature and Biologically Inspired Computing
A Simplified Vowel-Like Speech Detection Method and Its FPGA Implementation
	1 Introduction
		1.1 Significance of VLS in Speech Analysis
		1.2 Review of the Existing Methods for Detecting VLS
		1.3 Contributions and Motivation of the Present Work
	2 Proposed Method for VLS Detection
		2.1 Theoretical Background
	3 Hardware Architecture for Proposed Method
		3.1 Architecture for Difference Filters
		3.2 Architecture for ZFF
		3.3 Architecture for Moving Average Filter (MAF)
		3.4 Negative Exponential Function Architecture
		3.5 Architecture for VLR and VLS Detection
	4 Hardware Implementation of Proposed Method
	5 Conclusion
	References
A Genetic Algorithm to Solve the Order Picking Problem in a Warehouse with Systematic Item Distribution
	1 Introduction
	2 Literature Review
	3 Research Approach
	4 Implementation
		4.1 The Order Picking Problem
		4.2 The Warehouse Structure
		4.3 Problem Model
		4.4 Problem Parameters
		4.5 Optimization Method
		4.6 Genetic Algorithm Parameter Settings
	5 Evaluation
	6 Conclusions
	References
Facial Gender Classification Using Deep Learning
	1 Introduction
	2 Related Work
	3 Proposed Method
	4 Results
	5 Discussion
	6 Conclusion
	References
Pre and Post Operative Brain Tumor Segmentation and Classification for Prolonged Survival
	1 Introduction
	2 Methodology
		2.1 Image Acquisition
		2.2 Image Pre-processing
		2.3 Feature Extraction and Selection
		2.4 Segmentation
	3 Comparison and Performance Analysis
	4 Conclusion
	References
Swarm Intelligent Approaches for Ambulance Dispatching and Emergency Calls Covering: Application to COVID-19 Spread in Saudi Arabia
	1 Introduction
	2 Problem definition
	3 Methodology
		3.1 Adaptation of the Problem to Swarm Intelligence Approaches
		3.2 Artificial Orca Algorithm
		3.3 Elephant Herding Optimization
	4 Dataset description
	5 Experiments and Results
	6 Conclusion
	References
Prediction of Wind Speed Time Series in Brazil
	1 Introduction
	2 Related Work
	3 Wind Energy
	4 Material and Methods
		4.1 Dataset description
		4.2 Neural Networks
	5 Simulation Results
		5.1 Proposed Models
		5.2 Results Analysis
	6 Conclusions
	References
Lexicon-Based Sentiment Analysis and Emotion Classification of Climate Change Related Tweets
	1 Introduction
	2 Literature Review
	3 Materials and Method
		3.1 Twitter Dataset Acquisition
		3.2 Data Cleaning and Pre-processing
		3.3 Lexicon-Based Emotion and Sentiment Analytic Engine
	4 Results and Discussion
	5 Conclusion
	References
Grammar-Based Evolutionary Approach for Automatic Workflow Composition with Open Preprocessing Sequence
	1 Introduction
	2 Related Work
	3 G3P Algorithm for AWC
	4 Empirical Validation
	5 Concluding Remarks
	References
Path Planning Techniques for Mobile Robots: A Review
	1 Introduction
	2 State-of-the-Art Review
		2.1 Navigation Techniques for Static Obstacles
		2.2 Navigational Techniques for Dynamic Obstacle
	3 Conclusions
	Bibliography
Multi Sensor Underwater Image Fusion Using Modified Filter Bank Reconstruction Model
	1 Introduction
	2 Methodolgy
		2.1 Dataset
		2.2 Underwater Image Dehazing Color Correlation Algorithm
	3 Experimental Results
	4 Performance Metrics
	5 Conclusion
	References
Bio-Inspired Agents for a Distributed NLP-Based Clustering in Smart Environments
	1 Introduction
	2 Related Works
	3 Distributed Clustering Using Swarm Intelligence and Word Embedding Concepts
		3.1 Bio-Inspired Model
		3.2 Clustering Algorithm
	4 Performance Evaluation
	5 Conclusions
	References
Correction to: Improving Amphetamine-Type Stimulants Drug Classification Using Binary Whale Optimization Algorithm as Relevant Descriptors Selection Technique
	Correction to: Chapter “Improving Amphetamine-Type Stimulants Drug Classification Using Binary Whale Optimization Algorithm as Relevant Descriptors Selection Technique” in: A. Abraham et al. (Eds.): Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021), LNNS 417, https://doi.org/10.1007/978-3-030-96302-6_39
Author Index