Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering: TCCE 2022

Organization
Preface
Contents
About the Editors
Image Analysis
Early Prediction and Analysis of DTI and MRI-Based Alzheimer’s Disease Through Machine Learning Techniques
	1 Introduction
	2 Material and Methodology
		2.1 Data Source
		2.2 Data Preprocessing
		2.3 Feature Selection
		2.4 Machine Learning Algorithms
	3 Result and Discussion
	4 Conclusion
	References
Ensemble Machine Learning Technique for Identifying COVID-19 from CT Scan Images
	1 Introduction
	2 Related Works
	3 Dataset
	4 Methodology
		4.1 Image Preprocessing
		4.2 Image Segmentation and Dataset Splitting
		4.3 Classification
	5 Result Analysis and Discussions
	6 Conclusion
	References
Machine Learning-Based Tomato Leaf Disease Diagnosis Using Radiomics Features
	1 Introduction
	2 Literature Review
	3 Proposed Method
		3.1 Image Prepossessing
		3.2 Feature Extraction
		3.3 Feature Selection
		3.4 Classification
	4 Experiments and Results
		4.1 Datasets
		4.2 Experimental Setup
		4.3 Performance Measure
		4.4 Result
	5 Conclusion
	References
Effective Feature Extraction via Segmented t-Stochastic Neighbor Embedding for Hyperspectral Image Classification
	1 Introduction
	2 Feature Extraction
		2.1 Principal Component Analysis (PCA) for HSI
		2.2 Segmented PCA (SPCA) for HSI
		2.3 t-Stochastic Neighbor Embedding (t-SNE) for HSI
	3 Proposed Segmented t-SNE for HSI
	4 Experiments and Analysis
		4.1 Description of Dataset
		4.2  Experimental Setup
		4.3 Classification Performance and Analysis
	5 Conclusion
	References
Argument Mining on Clinical Trial Abstracts on Lung Cancer Patients
	1 Introduction
	2 Literature Review
	3 Proposed Methodology
		3.1 Proposed Argument Mining Architecture
		3.2 Data Preprocessing Precedures
		3.3 Creating and Preprocessing Trainable Dataset from Downloaded Abstract
		3.4 Annotating the Two Datasets for Classification
	4 Implementation and Result Analysis
	5 Performance Analysis
		5.1 Graph Creation
	6 Conclusion and Future Recommendations
	References
Car Detection from Unmanned Aerial Vehicles Based on Deep Learning: A Comparative Study
	1 Introduction
	2 Literature Review
	3 Background of Mask R-CNN and YOLO Architectures
		3.1 Mask R-CNN
		3.2 YOLOv3
		3.3 YOLOv5
	4 Comparison of Mask R-CNN, YOLOv3 and YOLOv5
		4.1 Dataset Description
		4.2 Software and Hardware Tools
		4.3  Evaluation Metrics
	5 Conclusion
	References
Light Convolutional Neural Network to Detect Eye Diseases from Retinal Images: Diabetic Retinopathy and Glaucoma
	1 Introduction
	2 Related Works
	3 CNN Architecture
	4 Experimental Set-Up
		4.1 Data Repository
		4.2 Protocol for Evaluation and Success Factors
		4.3 Validation
	5 Result and Discussion
		5.1 Healthy Versus Non-healthy Cases
		5.2 Non-healthy Screening
	6 Previous Studies
	7 Conclusion
	References
Internet of Things for Society
Evaluating Usability of AR-based Learning Applications for Children Using SUS and Heuristic Evaluation
	1 Introduction
	2 Related Works
	3 Methodology
	4 Deriving the Heuristics
	5 Evaluation and Result Analysis
		5.1 Heuristic Evaluation
		5.2 SUS Evaluation
		5.3 Comparative Analysis
	6 Discussion and Conclusion
	References
IoT Based Biofloc Aquaculture Monitoring System
	1 Introduction
	2 Background of the Study
	3 Methodology
	4 Result Analysis
	5 Conclusions
	References
Optimal Control Problem With Non-Standard Conditions: Direct and Indirect Approaches
	1 Introduction
	2 Royalty Payment Problem in Non-Standard Optimal Control
	3 The Direct and Indirect Method
	4 Conclusion
	References
Descriptive Analysis for Electric Bus During Non-Operational Stage
	1 Introduction
	2 Basic E-Buses Introduction
	3 Performance Analysis
		3.1 Standard Bus
		3.2 Luxury Bus
	4 Maintenance and Safety Practice
	5 Conclusion
	References
The Effectiveness Level on the Electric Buses Operation: Case Study for Affordability and Accessibility
	1 Introduction
		1.1 Problem Statements
		1.2 Research Questions
		1.3 Research Objectives and Its Scope
	2 Concept Effectiveness Level
	3 Empirical Study for the Effectiveness Level and Its Elements
		3.1 Affordability
		3.2 Accessibility
	4 Research Hypothesis
	5 Research Methodology
	6 Results and Discussion
		6.1 Affordability
		6.2 Accessibility
		6.3 Cross-Tabulation
	7 Conclusion
	References
IoMT-based Android Application for Monitoring COVID-19 Patients Using Real-Time Data
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Sensing Layer
		3.2 Communication Layer
		3.3 Processing Layer
		3.4 Application Layer
		3.5 System Analysis
	4 Result and Discussion
	5 Conclusion
	References
A Cost-Effective Unmanned Ground Vehicle (UGV) Using Swarm Robotics Technology for Surveillance and Future Combat
	1 Introduction
	2 Methodology
		2.1 Preliminary Studies and Planning
		2.2 System Architecture
		2.3 Build Electronic Circuits
		2.4 System Code Development
	3 Result and Discussion
		3.1 Functionality Test
		3.2 Blynk App Test
	4 Experiment
		4.1 Performance of Swarm UGV
		4.2 Wi-Fi Frequency Test of UGV
	5 Conclusion
	References
Neural Network-Based Obstacle  and Pothole Avoiding Robot
	1 Introduction
	2 Methodology
		2.1 Architecture of OPHAR
		2.2 Neural Network-Based Controller for OPHAR
		2.3 Working Flowchart of OPHAR
	3 Experimental Results
	4 Conclusion and Future Work
	References
Machine Learning for Society
A Comparative Study of Psychiatric Characteristics Classification for Predicting Psychiatric Disorder
	1 Introduction
	2 Background Study
	3 Methodology
		3.1 Data Collection
		3.2 Feature Extraction
		3.3 KNN Classifier
		3.4 SVM with Polynomial Kernel
		3.5 Naïve Bayes Classifier
		3.6 Decision Tree Classifier
		3.7 Logistic Regression
	4 Performance and Result Analysis
	5 Prediction
	6 Conclusion
	References
Material Named Entity Recognition (MNER) for Knowledge-Driven Materials Using Deep Learning Approach
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Problem Formulation
		3.2 Deep Neural Network Model for MNER Task
		3.3 Evaluation Methods
	4 Experiment and Results
		4.1 Dataset
		4.2 Hyperparameters
		4.3 Result Analysis
	5 Conclusion and Future Work
	References
An Improved Optimization Algorithm-Based Prediction Approach for the Weekly Trend of COVID-19 Considering the Total Vaccination in Malaysia: A Novel Hybrid Machine Learning Approach
	1 Introduction
		1.1 History of COVID-19
	2 Improved Barnacle Mating Optimizer
		2.1 Barnacle Mating Optimizer (BMO)
		2.2 Mathematical Model of BMO
	3 Least Square Support Vector Machine
	4 Proposed Methodology
		4.1 Dataset Preparation
		4.2 Experimental Setup
		4.3 Input–Output
		4.4 BMO-Gauss-LSSVM
		4.5 Performance Evaluation
	5 Result
	6 Discussion
	7 Conclusion
	References
Analyzing the Effectiveness of Several Machine Learning Methods for Heart Attack Prediction
	1 Introduction
	2 Literature Review
	3 Materials and Methodology
		3.1 Dataset
		3.2 Machine Learning Techniques
		3.3 Performance Matrix
	4 Experimental Results and Discussion
	5 Conclusion
	References
Solving the Royalty Payment Problem Through Shooting Method
	1 Introduction
	2 Non-standard Optimal Control Problem
	3 Royalty Payment Problem
	4 Results and Discussion
	5 Conclusion
	References
ECG Signal Classification Using Transfer Learning and Convolutional Neural Networks
	1 Introduction
	2 Literature Review
	3 Dataset
	4 Methodology
		4.1 Overview
		4.2 Time–Frequency Domain Transformation via CWT
		4.3 Classification via ResNet50
	5 Results and Discussion
	6 Conclusion
	References
Partitional Technique for Searching Initial Cluster Centers in K-means Algorithm
	1 Introduction
	2 Background and Present State of the Problem
	3 Methodology of Proposed Approach
		3.1 Partitioning the Dataspace
		3.2 Steps of Proposed Approach
		3.3 Pseudo Code
	4 Implementation and Result Comparison
		4.1 Performance Comparison
		4.2 Result Analysis
	5 Conclusion
	References
A Novel Ensemble Methodology to Validate Fuzzy Clusters of Big Data
	1 Introduction
	2 Methodology
	3 Result and Discussion
	4 Conclusion
	References
Model Analysis for Predicting Prostate Cancer Patient\'s Survival: A SEER Case Study
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Data Collection
		3.2 Experimental Setup
		3.3 Data Preparation
		3.4 Data Splitting
		3.5 Machine Learning Model Building
		3.6 Performance evaluation
		3.7 Cross-Validation
	4 Results and Discussion
	5 Conclusion
	References
Quantum-Inspired Neural Network on Handwriting Datasets
	1 Introduction
		1.1 Traditional Computing Environment
		1.2 Quantum Computing Environment
		1.3 Challenges
		1.4 Need for Quantum Computing
	2 Literature Review
	3 Design and Implementation
	4 Conclusion
	References
Network and Security
An Efficient and Secure Data Deduplication Scheme for Cloud Assisted Storage Systems with Access Control
	1 Introduction
	2 Related Research Works
	3 System Model
	4 Our Proposed Storage Scheme
		4.1 Design
		4.2 Data Processing
		4.3 Data Dispersal
		4.4 Data Restoration
	5 Security and Performance Analysis
		5.1 Security Analysis
		5.2 Implementation and Performance Evaluation
	6 Conclusion
	References
Priority-Based Intelligent Reflecting Surface for Uplink 6G Communication
	1 Introduction
	2 System Model
	3 Result and Discussion
		3.1 Subcarrier Channel
		3.2 Reliability
	4 Conclusion
	References
Identifying Duplicate Questions Leveraging Recurrent Neural Network
	1 Introduction
	2 Literature Review
	3 Our Approach
		3.1 Text Pre-processing
		3.2 Semantic Information Extraction
		3.3 Duplicate Question Classification Using RNN
	4 Experimental Results and Evaluation
		4.1 Dataset
		4.2 Experimental Settings
		4.3 Experimental Results
		4.4 Comparison with Known Related Works
	5 Conclusion and Future Work
	References
StegoPix2Pix: Image Steganography Method via Pix2Pix Networks
	1 Introduction
	2 Model
	3 Experimental Result
	4 Security Analysis
	5 Reliability
	6 Conclusion
	References
Low-Cost Energy Efficient Encryption Algorithm for Portable Device
	1 Introduction
		1.1 Background
		1.2 Problem Statement
		1.3 Aim and Objective
		1.4 Research Outline
	2 Literature Review
		2.1 Related Works
		2.2 Comparison Among Different Model
		2.3 Research Gap
	3 Proposed System Model
	4 Performance Analysis
		4.1 Resilience Against Brute Force Attack
		4.2 Computational Time
	5 Conclusion and Future Work
	References
Detection of Dental Issues Using the Transfer Learning Methods
	1 Introduction
	2 Literature Review
		2.1 Previous Research on Dental Teeth Issues
		2.2 Transfer Learning Models
	3 Proposed System
	4 Methodologies
		4.1 Data Collection
		4.2 Image Preprocessing
		4.3 Train Test Splitting
		4.4 Transfer Learning Modules
	5 Result and Analysis
	6 Conclusion
	References
Healthcare Professionals Credential Verification Model Using Blockchain-Based Self-sovereign Identity
	1 Introduction
	2 Basic Concepts of Self-sovereign Identity
		2.1 Decentralized Identifiers
		2.2 Verifiable Credential
		2.3 Blockchain
	3 Literature Survey
	4 Proposed Methodology
	5 Discussion
	6 Research Challenges
	7 Conclusion and Future Scope
	References
Emerging Applications for Society
A Classified Mental Health Disorder (ADHD) Dataset Based on Ensemble Machine Learning from Social Media Platforms
	1 Introduction
	2 Related Work
	3 Dataset Description
	4 Classified ADHD Dataset Construction
		4.1 Corpus Description
		4.2 Use of Active Learning
		4.3 Use of Language Model
		4.4 Corpus Evaluation
	5 Conclusion
	6 Future Work
	References
Language Identification in Multilingual Text Document Using Machine Learning
	1 Introduction
	2 Literature Review
	3 System Architecture
		3.1 Data Collection
		3.2 Preprocessing
		3.3 Feature Extraction
		3.4 Classification
	4 Experimental Results and Discussion
	5 Conclusion
	References
Sentiment Analysis of Restaurant Reviews Using Machine Learning
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Data Collection
		3.2 Data Cleaning/Preprocessing
		3.3 Feature Extraction
		3.4 Training and Testing Split of Dataset
		3.5  Classification Model
		3.6 Model Evaluation
	4 Results and Discussions
	5 Conclusion
	References
Transliteration from Banglish to Bengali Language Using Neural Machine Translation
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Data Collection
		3.2 Data Preprocessing
		3.3 Proposed Model
		3.4 Data Encoding and Decoding
	4 Results and Discussions
	5 Conclusion
	References
An Evaluation of BdSL 49 Dataset Using Transfer Learning Techniques: A Review
	1 Introduction
	2 Related Works
	3 Dataset Acquisition
	4 Proposed Methodology
	5 Result Analysis and Performance Evaluation
	6 Conclusion and Future Work
	References
1D to 20D Tensors Like Dodecanions and Icosanions to Model Human Cognition as Morphogenesis in the Density of Primes
	1 Introduction
	2 Methods Summary
		2.1 Calculation of Invariants and Space-Time-Topology-Prime Metric (STts) Metric Under SOMU
	3 Results and Discussion
		3.1 A Composition of Five Fractal Patterns for the Density of Primes Is Key to Cognition
		3.2 Implications of Time Crystal Like the 3D Architecture of Clocks Representing the Density of Primes
		3.3 108 Fundamental Constants Made of 17 Primes
		3.4 Replotting Density of Primes and Understanding the Differentials in Details
		3.5 Generalization of the Fractal Seed Pattern Observed in the Density of Primes
		3.6 Derivation of an Engine that Generates All Possible Branching Out Patterns of Fig. 4
	4 Conclusion
	References
Metamaterials-Based Photonic Crystal Fiber (PCF) Design for Wireless Charging
	1 Introduction
	2 Metamaterial-Based Photonic Structure Description
	3 Results and Analysis
	4 Conclusion
	References
A Ranking Model of Paddy Farmers for Their Welfare
	1 Introduction
	2 Literature Review
	3 Problem Definition
	4 Proposed Model
	5 Conclusion
	References
A Real-Time Bangla Local Language Recognition from Voice
	1 Introduction
	2 Literature Review
	3 Problem Domain
	4 Proposed Architecture
	5 Methodology
	6 Performance Evaluation
	7 Conclusion
	References
A Reviewer Recommender System  for Scientific Articles Using a New Similarity Threshold Discovery Technique
	1 Introduction
	2 Related Works
	3 Problem Formulation
	4 Proposed Similarity Threshold Discovery Technique
		4.1 Similarity Calculation
		4.2 Threshold Discovery
	5 Proposed System
		5.1 Data Acquisition
		5.2 Data Pre-processing
		5.3 Keyphrase Extraction
		5.4 Reviewer Recommendation
	6 Experimental Evaluation
		6.1 Dataset
		6.2 Experimental Setup
		6.3 Selection Technique
	7 Results and Discussion
		7.1 Relationship Between Keyphrases and Confidence Scores
		7.2 Threshold Discovery
		7.3 Comparison
	8 Conclusion
	References
Self-survival of Quantum Vibrations of a Tubulin Protein and Microtubule: Quantum Conductance and Quantum Capacitance
	1 Introduction
	2 Methods Summary
		2.1 Critical Parameters for Ultra-Low Power Measurement
		2.2 Measurement of Ultra-Low Magnetic Flux Scan at 300 K
		2.3 Differential Thermo-magneto Spectroscopy (DTMS)
		2.4 Magnetic Flux Microscopy (MXM, Not Magnetic Force Microscopy, MFM)
		2.5 A Non-classical Undefined Wiring for Quantum Like Resonance
	3 Results and Discussion
	Supplementary Materials
	Experimental Details
		Development of Fluxgate System for “Measurement of Ultra-Low Magnetic Flux (<10−13 T)”
		Microtubule Device Fabrication
		Regulating Noise for All Experiments
		“Heat Pipe” Effect Measurement in Microtubule and the Crucial Role of Water Channel
		Non-classical Negative Resonance Properties of a Microtubule
		Beating of “Beats”: Hierarchical Phase in Magnetic Interference Seen in Fig. 3a
		Live Recording of Phase Growth as Shown in Fig. 3a Experimental Set Up
		How to Check the Existence of Super Non-conductivity
		Measuring Fermi Velocity, Effective Mass, Quantum Conductance for Fractal Phase Scenario, as a Recipe to Calculate Quantum Capacitance and Quantum Inductance from Fig. 3b
	Supporting Online Figures
		Figure 5: Pitch and Diameter Variation of Microtubule Capacitance and Inductance
		Figure 6: Variation of Cq and Lq as a function m* and gv
	References
Author Index