Preface
IBICA–WICT 2022 Conference Organization
Contents
Bioinspired Computing and Applications
Bayesian Consideration for Intention to Purchase Safe Vegetables: Evidence from Vietnam
1 Introduction
2 Literature Review
2.1 Safe Vegetable Purchasing Intention (SVPI)
2.2 Health Care (HC)
2.3 Brand Trust (BT)
2.4 Product Price (PP)
2.5 Product Quality (PQ)
2.6 Supermarket Trust (ST)
3 Methodology
3.1 Sample
3.2 Reliability Test and Bayesian Consideration
4 Results
4.1 Reliability Test
4.2 Bayesian Consideration
4.3 Model Evaluation
5 Conclusions
References
Evolution of Configuration Data in CGP Format Using Parallel GA on Embryonic Fabric
1 Introduction
2 Design of Parallel Genetic Algorithm
3 Parallel GA Versus Single GA
4 Conclusion
References
Cross Synergetic Mobilenet-VGG16 for UML Multiclass Diagrams Classification
1 Introduction
2 Proposed Cross Synergetic Mobilenet-VGG16 for UML Diagram Classification
2.1 Problem Statement
2.2 MobileNet Overview ch3howard2017mobilenets
2.3 VGG16 Overview ch3simonyan2014very
2.4 Transfer Learning Overview
3 Results and Discussion
3.1 Evaluation Data and Comparison Methods
3.2 Performance of Proposed Method
3.3 Sensitivity of Parameters
4 Conclusion
References
Solar Irradiation and Wind Speed Forecasting Based on Regression Machine Learning Models
1 Introduction
2 Data Characterization
2.1 Statistical Description and Data Processing
2.2 Data Correlation
3 Forecasting Model
4 Results and Discussions
4.1 Solar Irradiation Forecasting
4.2 Wind Speed Forecasting
5 Conclusion and Future Works
References
Transfer Learning Based Pediatric Pneumonia Diagnosis Using Residual Attention Learning
1 Introduction
2 Related Works
3 Background
3.1 Attention Networks
3.2 Residual Attention Network
3.3 Cost Sensitive Learning
4 Dataset and Experimental Design
4.1 Dataset Description
4.2 Proposed Methodology
5 Results and Discussion
6 Conclusion and Future Work
References
Fuzzy Systems in Bio-inspired Computing: State-of-the-Art Literature Review
1 Introduction
2 Bio-inspired Computing
3 Fuzzy Systems and Extensions
4 State-of-the-Art Literature Review on Fuzzy Bio-inspired Computing
4.1 Fuzzy Ant Colony Systems
4.2 Fuzzy Artificial Immune Systems
4.3 Fuzzy Artificial Neural Networks
4.4 Fuzzy Cellular Automaton
4.5 Fuzzy Cognitive Modeling
4.6 Fuzzy Differential Evolution
4.7 Fuzzy Evolutionary Computation
4.8 Fuzzy Evolutionary Strategies/Programming
4.9 Fuzzy Genetic Algorithms/Programming
4.10 Fuzzy Particle Swarm Optimization
5 Conclusion
References
Anomaly Detection Framework
1 Introduction
2 Methodology
2.1 Test Case of Issuing Virtual Cards
2.2 Experiment
3 Discussion
4 Conclusion
References
Speech Emotion Recognition Using CNN-LSTM and Vision Transformer
1 Introduction
2 Related Works
3 Methodology
3.1 Dataset Description
3.2 Convolution Neural Network
3.3 Long Short Term Memory
3.4 CNN-LSTM Model
3.5 Mel Spectrogram
3.6 Vision Transformer Model
4 Results and Discussions
5 Conclusion and Future Directions
References
Investigating Digital Addiction in the Context of Machine Learning Based System Design
1 Introduction
2 Literature Survey
3 Machine Learning Based Recently Developed Models
4 Proposed Work
5 Conclusion and Future Work
References
Multiobjective Optimization of Airline Crew Management with a Genetic Algorithm
1 Introduction
2 Description of the Optimization Problem
2.1 Problem Model
2.2 Optimization Methods: Genetic Algorithm
2.3 Implementation and Comparison of Different Optimization Methods
3 Results
4 Conclusions
References
A Novel Approach to the Two-Dimensional Cargo Load Problem
1 Introduction
2 Container Loading Problems
2.1 Problem Definition
2.2 Previous Models
2.3 MILP Model
3 Prototype Development
3.1 Mathematical Formulation
3.2 Problem Solving Method
4 Case Study
5 Conclusion
References
Vehicle Detection from Aerial Imagery Using Principal Component Analysis and Deep Learning
1 Introduction
2 Related Works
3 Methodology
3.1 Principal Component Analysis
3.2 Proposed Methodology
3.3 Residual Networks
4 Experimental Results and Discussions
4.1 Dataset Description
4.2 Test Train Split
4.3 Observations and Findings
4.4 Model Evaluation and Benchmark Comparison
5 Conclusion and Future Works
References
Bio-inspired Heterogeneity in Swarm Robots
1 Functional Homogeneity
2 Functional Heterogeneity
3 From Homogeneity to Heterogeneity
4 Requirements on Functional Heterogeneity
5 Evaluation of Functional Heterogeneity
6 Conclusions
References
Software Defect Prediction Using Cellular Automata as an Ensemble Strategy to Combine Classification Techniques
1 Introduction
2 Background
2.1 Classification Techniques
2.2 Cellular Automaton
3 Proposed Method
3.1 Classifiers Deploy
3.2 Datasets
3.3 Learning Algorithm
3.4 Inference Algorithm
3.5 Transaction Rule
4 Results and Discussion
5 Conclusion
References
A Systematic Literature Review on Home Health Care Management
1 Introduction
2 Methodology
3 Bibliometric Analysis
4 Discussion and Future Directions
5 Conclusion
References
The Impact of the Size of the Partition in the Performance of Bat Algorithm
1 Introduction
2 Literature Review
2.1 Heuristic and Metaheuristics
2.2 Scheduling Problems
2.3 Parameterization
2.4 Discrete Bat Algorithm
3 Case Study
3.1 Problem
3.2 Methodology
3.3 Parameterization
3.4 Results
4 Conclusion
References
Automatic Diagnosis Framework for Catheters and Tubes Semantic Segmentation and Placement Errors Detection
1 Introduction
2 Background
2.1 Deep Learning Medical Image Segmentation Methods
2.2 U-Net Architecture
3 Related Works
3.1 Tubes Segmentation Based CXR Images
3.2 Methods Used to Reduce U-Net Parameter and Increase Model Performance
4 Dataset
4.1 Classification and Segmentation Data
5 Methodology
5.1 Customized U-Net Architecture
5.2 Segmentation Training Process
5.3 Classification Models Training Process
5.4 Framework of Diagnosis Validation
6 Experiments and Results
6.1 Segmentation with Customized U-Net Architectures
6.2 Classification Models Results
6.3 Validation Framework Results
6.4 Discussion
7 Conclusion
References
How Artificial Intelligence Can Revolutionize Software Testing Techniques
1 Introduction
2 Preliminaries About Software Testing
3 Preliminaries About Artificial Intelligence
4 Advantages of the Use of AI in Software Testing
4.1 Automatic Writing of Test Cases
4.2 Fast Time to Market
4.3 Earliest Response/Feedback
4.4 Prognostic Analysis
4.5 Integrated Platform
4.6 Reduction of UI-Based Testing
4.7 Better Code Coverage
4.8 Improved Reliability
4.9 Improved Quality
4.10 Automated Visual Validation Testing
5 Examples of Tools
5.1 INFER
5.2 Appvance IQ
5.3 Eggplant AI
5.4 EvoSuite
6 Conclusion and Future Work
References
E-Assessment in Medical Education: From Paper to Platform
1 Introduction
2 Literature Review
2.1 E-assessment: Progress to Date
2.2 Paper Based Assessment Versus ICT Enabled E-assessments: A Comparative Analysis
2.3 Types of E-assessment Strategies: Exploring Options for Medical Education
2.4 The Interrelatedness of Assessment of Learning and Assessment as Learning Strategies
3 Aim of the Study
4 Methodology
5 Results
6 Summary of the Findings
7 Discussion
7.1 Perceived Value of E-assessments
7.2 Self-directed Learning
7.3 Knowledge Recall and Retention
7.4 Self-reflection: Identifying Knowledge Gap and Reflecting on Study Techniques
7.5 Student Engagement
7.6 Recommendations for Practice
8 Conclusion and Future Works
References
DeepPRS: A Deep Learning Integrated Pattern Recognition Methodology for Secure Data in Cloud Environment
1 Introduction
2 Related Works
3 Proposed Methodology
4 Results and Discussions
5 Conclusion
References
Automated Depression Diagnosis in MDD (Major Depressive Disorder) Patients Using EEG Signal
1 Introduction
2 Proposed Algorithm
2.1 Data Sets
2.2 Preprocessing
2.3 Feature Extraction
2.4 Classification Methods/Approaches
3 Experimental Setup and Results
3.1 Feature Extraction Outcomes
3.2 Classification Outcomes
4 Results and Discussion
5 Conclusion
References
An Effective Deep Learning Classification of Diabetes Based Eye Disease Grades: An Retinal Analysis Approach
1 Introduction
2 Methodology
2.1 Data Collection
2.2 Preprocessing
2.3 Feature Extraction
2.4 Feature Selection
2.5 Classification
3 Performance Analysis
4 Conclusion
References
Extracting and Analyzing Terms with the Component `Green' in the Bulgarian Language: A Big Data Approach
1 Introduction
2 Recent Approaches to Terminology
3 The Colours from a Language Perspective
3.1 Some Preliminaries
3.2 The Distributional Semantics Model
4 The Sketch Engine
5 The bgTenTen12 Corpus
6 bgTenTen12 Corpus Search Results
7 Discussion
References
Apartments Waste Disposal Location Evaluation Using TOPSIS and Fuzzy TOPSIS Methods
1 Introduction
2 Literature Background
3 Research Study
4 Case Problem – Chennai, Tamil Nadu, Southern India,
4.1 TOPSIS – Application methodology.
5 TOPSIS, FTOPSIS - Results
6 Conclusion
References
Detection of Cracks in Building Facades Using Infrared Thermography
1 Introduction
2 Literature Review
3 Methods and Materials
4 Experimental Setup
5 Results
6 Conclusion
References
Optimizing Pre-processing for Foetal Cardiac Ultra Sound Image Classification
1 Introduction
2 Literature Review
3 Methodology
4 Experiment and Results
5 Conclusion
References
A Review on Dimensionality Reduction for Machine Learning
1 Introduction
2 Dimensionality Reduction
2.1 Definition
2.2 Feature Selection
2.3 Feature Extraction
3 Discussion
4 Conclusion
References
Detecting Depression on Social Platforms Using Machine Learning
1 Introduction
2 Problem Statement
3 Related Work
4 Research Methodology
4.1 Acquire the Datasets
4.2 Data Materials and Methods
4.3 Features Extraction
4.4 Text Classification Techniques
5 Conclusion
References
Impact of Green Hydrogen Production on Energy Pricing
1 Introduction
2 Theory Background
2.1 Optimal Power Flow – Economic Dispatch
2.2 Locational Marginal Energy Prices
2.3 Hydrogen Transport Cost
3 Case Study
3.1 Case Study 1 – All Generators Are Produced by Thermal Power Plants
3.2 Case Study 2 - Generators 4 and 8 Were Replaced by Wind Onshore Utility Class1 Producers
3.3 Case Study 3 - Winds Onshore Generators 4 and 8 Will Transfer 100 MW in Hydrogen Equivalent to Load 5
3.4 Discussion of Results
4 Conclusion
References
The Future in Fishfarms: An Ocean of Technologies to Explore
1 Introduction
2 State of Art
2.1 Methodology
2.2 Literature Review
3 CRISP-DM Process
3.1 Business Understanding
3.2 Data Understanding
3.3 Data Preparation
3.4 Modelling
3.5 Evaluation
3.6 Deployment
4 Conclusions
References
Tuned Long Short-Term Memory Model for Ethereum Price Forecasting Through an Arithmetic Optimization Algorithm
1 Introduction
2 Background and Related Works
2.1 LSTM
2.2 Swarm Intelligence and Literature Review
3 Proposed Method
3.1 Arithmetic Optimization Algorithm
3.2 Improved AOA with Firefly Search (AOA-FA)
4 Experimental Findings and Results
5 Discussion
6 Conclusion
References
Breast Cancer Identification Using Improved DarkNet53 Model
1 Introduction
1.1 Contributions
2 Literature Review
3 Proposed Methodology
3.1 Image Acquisition
3.2 Pre-processing
3.3 Segmentation
3.4 Feature Extraction
3.5 DarkNet53
3.6 SqueezeNet
3.7 ResNet50
4 Experimental Results
4.1 Datasets
4.2 Experiment Analysis
5 Conclusion
References
Comprehensive and Systematic Review of Various Feature Extraction Techniques for Vernacular Languages
1 Introduction
2 Related Work
3 Design and Implementation
4 Methodology for the Systematic Review
4.1 Database Curation
4.2 Identifying Keywords for Database Search
4.3 Selecting Articles for the Database
4.4 Initial Data Statistics
5 Data Analysis and Findings
6 Descriptive Analysis
7 Conclusion
References
Parallel Ant Colony Optimization for Scheduling Independent Tasks
1 Introduction
2 Related Work
3 Scheduling Problem Definition
4 Parallel Ant Colony Optimization (ParACO)
4.1 Ant Colony Optimization (ACO) for Task Scheduling
4.2 Parallelization Strategies
5 Experimental Results
5.1 Experimental Setup
5.2 Performance Comparison
6 Conclusion
References
A Review on Artificial Intelligence Applications for Multiple Sclerosis Evaluation and Diagnosis
1 Introduction
2 Multiple Sclerosis
3 Artificial Intelligence and the Biological Brain
4 AI Approaches for MS Treatment
5 Conclusion
References
KIASOntoRec: A Knowledge Infused Approach for Socially Aware Ontology Recommendation
1 Introduction
2 Related Work
3 Proposed Methodology
4 Implementation
5 Results and Performance Evaluation
6 Conclusions
References
Policy-Based Code Slicing of Database Application Using Semantic Rule-Based Approach
1 Introduction
2 Background
3 Related Works
4 Running Example
5 Proposed Approach
5.1 Syntax Based DDG
5.2 Semantics Refinement: Condition-Action Rules
5.3 Slicing Computation
5.4 Experimental Results
6 Discussion
7 Conclusion and Future Research
References
Analysing and Modeling Customer Success in Digital Marketing
1 Introduction
2 Related Work
3 Dataset Analysis
4 Methodology
5 Results and Discussion
6 Conclusions
References
DRHTG: A Knowledge-Centric Approach for Document Retrieval Based on Heterogeneous Entity Tree Generation and RDF Mapping
1 Introduction
2 Related Work
3 Proposed Work
4 Implementation and Performance Evaluation
4.1 Dataset Preparation
5 Results
6 Conclusion
References
Bi-CSem: A Semantically Inclined Bi-Classification Framework for Web Service Recommendation
1 Introduction
2 Related Work
3 Proposed Work
4 Implementation and Performance
5 Results and Performance Evaluation
6 Conclusion
References
HybRDFSciRec: Hybridized Scientific Document Recommendation Framework
1 Introduction
2 Related Works
3 Proposed System Architecture
4 Results and Performance Evaluation
5 Conclusion
References
A Collision Avoidance Method for Autonomous Underwater Vehicles Based on Long Short-Term Memories
1 Introduction
2 Related Work
3 Rule-based Control
4 AI-based Control
4.1 Automatic Labeling of the Data
5 Experimental Results and Their Evaluation
6 Conclusion and Future Work
References
Precision Mango Farming: Using Compact Convolutional Transformer for Disease Detection
1 Introduction
2 Vision Transformers for Image Classification
3 Compact Convolutional Transformer for Disease Detection Model for Mango Leaf Disease Classification
4 Experimentation and Discussion
5 Conclusions and Future Work
References
An Efficient Machine Learning Model for Bitcoin Price Prediction
1 Introduction
2 Relevant Study
3 Proposed Method
3.1 Linear Regression
3.2 Polynomial Regression
3.3 Bayesian Regression
3.4 Random Forest and Boosting Ensemble
3.5 SVM
3.6 Auto Regression Integrated Moving Averages (ARIMA)
3.7 LSTM
4 Results
4.1 Graphical User Interface
4.2 Linear Regression Polynomial Regression
4.3 Polynomial Regression
4.4 Bayesian Regression
4.5 Random Forest and Boosting Ensemble
4.6 SVM
4.7 ARIMA
4.8 LSTM (Multilayer)
4.9 LSTM (GRU)
5 Conclusion
References
Ensemble Based Cyber Threat Analysis for Supply Chain Management
1 Introduction
2 Relevant Study
3 Proposed Method
3.1 Boosting Ensemble Learning
3.2 Gradient Boosting
4 Experimental Results
4.1 Count of Legal and Threat Data
4.2 Preprocess Data
4.3 Correlation Between Variables
4.4 Confusion Matrix of RF, Gradient Boosting and XGBoost
4.5 Comparison of Different Learning Models
5 Conclusion and Future Scope
References
Classification Model for Identification of Internet Loan Frauds Using PCA with Ensemble Method
1 Introduction
2 Relevant Study
3 Proposed Method
3.1 Algorithm
3.2 XGBoost Approach
3.3 Logistic Regression
3.4 Decision Tree
4 Experimental Results
5 Conclusion
References
Comparative Analysis of Learning Models in Depression Detection Using MRI Image Data
1 Introduction
1.1 Types of Brain Diseases
1.2 Diagnosis and Treatment of Brain Disease Using Image Processing
1.3 Image Extraction Techniques
2 Relevant Study
2.1 DenseNet
3 Proposed Method
4 Experimental Results
4.1 Performance Evaluation
5 Conclusion
References
Product Safety and Privacy Using Internet of Things Design and Moji
1 Introduction
2 Related Work
3 Proposed Methodology
4 Experimentation and Results
5 Conclusion
References
Optimization of the Performance and Emissions of a Dual-Fuel Diesel Engine Using LPG as the Fuel
1 Introduction
2 Experimental Investigation
3 Experimental Results
4 Results and Discussions
4.1 Optimization Using Taguchi Grey Relational Analysis (TGRA)
4.2 Optimization Using Regression
4.3 Optimization Using Anfis Model
4.4 JAYA – ANFIS Optimization Model
5 Conclusions
References
Hostel Out-Pass Implementation Using Multi Factor Authentication
1 Introduction
2 Proposed Method
3 Implementation
4 Conclusion
References
Federated Learning and Adaptive Privacy Preserving in Healthcare
1 Introduction
1.1 Data Sharing Scenarios
1.2 Federated Learning and Open Health
1.3 Types of Federated Learning
2 Related Work
2.1 Machine Learning Models
2.2 Privacy
2.3 Autonomy
2.4 Design
3 Methods
3.1 Federated Learning
3.2 Adaptive Privacy
4 Evaluation
4.1 Results
5 Conclusion
References
ASocTweetPred: Mining and Prediction of Anti-social and Abusive Tweets for Anti-social Behavior Detection Using Selective Preferential Learning
1 Introduction
2 Related Works
3 Proposed Architecture
4 Performance Evaluation and Result
5 Conclusion
References
WCMIVR: A Web 3.0 Compliant Machine Intelligence Driven Scheme for Video Recommendation
1 Introduction
2 Related Works
3 Proposed System Architecture
4 Implementation and Performance Evaluation
5 Conclusion
References
RMSLRS: Real-Time Multi-terminal Sign Language Recognition System
1 Introduction
1.1 Background
1.2 Challenges
1.3 Contributions
1.4 Organization
2 Architecture
2.1 Human-computer Interaction Layer
2.2 Video Denoising Layer
2.3 Recognition Inference Layer
3 Demonstration
References
Advances in Information and Communication Technologies
Modelling and Simulation of the Dump-Truck Problem Using MATLAB Simulink
1 Introduction
2 Problem Formulation
3 Literature Review
4 Assumptions of the Study
5 Methodology
6 Experiments, Results and Discussion
6.1 Simulink Model
6.2 Model Conceptualization
6.3 Data Collection
6.4 Model Translation
6.5 Verification
6.6 Validation
7 Conclusion
References
Modeling and Simulation of a Robot Arm with Conveyor Belt Using Matlab Simulink Model
1 Introduction
2 Literature Review
3 Methodology
3.1 Problem Formulation
3.2 Model Conceptualization
3.3 Data Collection
3.4 Model Translation
3.5 Verification
3.6 Validation
3.7 Experimental Design
3.8 Production Runs and Analysis (Simulation Results for the Model)
4 Conclusion
References
Bayesian Model Selection for Trust in Ewom
1 Introduction
2 Literature Review
2.1 Trust in eWOM (Electronic Word-of-Mouth: Te)
2.2 Information Quality (IQ)
2.3 Social Influence (SI)
2.4 Perceived Risk (PR)
3 Methodology
3.1 Sample Size
3.2 Bayesian Information Criteria
4 Results
4.1 Reliability Test
4.2 BIC Algorithm
4.3 Model Evaluation
5 Conclusion
References
Review of Challenges and Best Practices for Outcome Based Education: An Exploratory Outlook on Main Contributions and Research Topics
1 Introduction
2 Challenges of OBE Implementation in the Different Countries:
2.1 Engineering Design and Education in Bangladesh
2.2 Outcome-Based Education for Linguistic Courses in Hong Kong
2.3 Challenges of OBE in India
2.4 Outcome Based Education in Israel Defence Force:
2.5 Implementation of OBE in Malaysia for Higher Education:
2.6 Outcome Based Education in Pharmacy Education in Canada:
3 Domain Based Challenges of OBE
3.1 Outcome Based Education in Civil Engineering:
3.2 Challenges of Marriage and Family Therapy Education ch587
3.3 Challenges of Outcome Based Education in Medical Education
3.4 Challenges of Outcome Based Education for Supply Chain Management:
3.5 Challenges of OBE in Chemical Engineering:
3.6 Outcome Based Education for Nursing Education
3.7 OBE for Software Engineering Course
4 Best Practices for OBE
4.1 Best Practices of OBE with Respect to the Different Domains
4.2 Online OBE System Followed by Most of Higher Learning Institutions
4.3 Project Based Outcome Based Education
5 Discussion and Conclusions
References
Blockchain Enabled Internet of Things: Current Scenario and Open Challenges for Future
1 Introduction
2 Internet of Things - Background
3 Blockchain
4 Integration of IoT and Blockchain (BIoT)
5 Blockchain Enabled Internet of Things (BIoT) Architecture and Interactions
6 Challenges Faced in BIoT
7 Applications of BIoT
7.1 Future Scope and Directions
8 Conclusion
References
Fuzzy Investment Assessment Techniques: A State-of-the-Art Literature Review
1 Introduction
2 Fuzzy Sets and Their Extensions
3 Fuzzy Investment Assessment Techniques
4 Literature Review
4.1 Techniques Using Ordinary Fuzzy Sets
4.2 Techniques Using Extensions of Ordinary Fuzzy Sets
5 Conclusion
References
A Comparative Analysis of Classification Algorithms for Dementia Prediction
1 Introduction
2 Review of Related Literature
3 Machine Learning Based Approaches
3.1 Leading Approaches
3.2 Weka Classifiers [20]
4 Methodology
4.1 Source of Data
4.2 Algorithms
5 Results
6 Conclusion
References
Virtual Reality, Augmented Reality and Mixed Reality for Teaching and Learning in Higher Education
1 Introduction
2 Research Method
2.1 Data Sources and Search Strategy
2.2 Inclusion and Exclusion Criteria
3 Results
4 Discussion
4.1 Advantages of Virtual Technology to Higher Education Learning
4.2 Disadvantages of Virtual Technology to Higher Education Learning
4.3 Traditional Learning Approaches and Virtual Learning
4.4 Implementing Virtual Technology in Higher Education
5 Conclusion
5.1 Concluding Comments
5.2 Limitations and Future Research
References
Comparative Analysis of Filter Impact on Brain Volume Computation
1 Introduction
2 Literature Review
2.1 Representation of Magnetic Resonance Images
2.2 Analysis of MR Images
2.3 Volume Estimation and Analysis
3 Materials and Methods
3.1 Image Filters
3.2 Skull Stripping
3.3 Source of Data
3.4 Proposed Approach
4 Results
5 Conclusion
References
The Role of AI in Combating Fake News and Misinformation
1 Introduction
2 Research Hypothesis and Objective
2.1 Research Hypothesis
2.2 Objective
3 Methodology
3.1 Research Design
3.2 Measure Design
4 Algorithms
4.1 Naive Bayes Classifier
4.2 Support Vector Machine (SVM)
4.3 Neural Networks
4.4 Long Short Term Memory Networks (LSTMs)
4.5 Bi-directional Long Short Term Memory Networks(Bi-LSTMs)
4.6 Ensemble Learning Methods
4.7 Random Forest Algorithm
5 Results and Discussion
5.1 Comparing Performances of Models
5.2 Current Methods
5.3 Future Directions of Study
6 Conclusion
References
Rationalizing the TPACK Framework in Online Education: Perception of College Faculties Towards Aakash BYJU’S App in the ‘New Normal’
1 Introduction
2 Literature Review
3 Research Objective
4 Research Model and Hypothesis Formulation
5 Research Methodology
5.1 Data Analysis and Presentation
6 Results of the Study
7 Conclusion and Implications
8 Limitations and Future Scope
References
Teacher’s Attitudes Towards Improving Inter-professional Education and Innovative Technology at a Higher Institution: A Cross-Sectional Analysis
1 Introduction
2 Experimental Methods
2.1 Study Design
2.2 Study Setting and Population
2.3 Variable
2.4 Data Source and Management
2.5 Ethical Consideration
3 Result
3.1 Participants and Bio-demographic Features
3.2 Teachers Attitude About IPE
4 Discussion
5 Limitation
6 Conclusion
References
Augmented Analytics an Innovative Paradigm
1 Introduction
2 Augmented Analytics
3 Trends of Data Analytics
4 Augmented Analytics Benefits
5 Conclusions
References
A Deep Learning Approach to Monitoring Workers' Stress at Office
1 Introduction
2 Related Work
3 Methodology
4 Materials and Methods
4.1 Dataset
4.2 Pre-processing
4.3 Experiments
5 Evaluation
5.1 Comparison with Related Work
6 Conclusions
References
Implementing a Data Integration Infrastructure for Healthcare Data – A Case Study
1 Introduction
2 Related Work
3 Clinical Data Interoperability
4 The Data Pipeline
5 Conclusions
References
Automatic Calcium Detection in Echocardiography Based on Deep Learning: A Systematic Review
1 Introduction
2 State of the Art
2.1 Methods
2.2 Data Extraction
2.3 Results
2.4 Goals and Outcomes Analysis
3 Conclusion
References
AI-Based mHealth App for Covid-19 or Cardiac Diseases Diagnosis and Prognosis
1 Introduction
2 State of the Art
2.1 Search Strategy and Inclusion Criteria
2.2 Study Selection
2.3 Data Extraction and Synthesis
2.4 Results
3 AIMHealth App
3.1 Smartphone Application
3.2 Cloud Database and Features
4 Conclusions and Future Work
References
Mapping the Research in Orange Economy: A Bibliometric Analysis
1 Introduction
2 Background
3 Methodology
4 Results
4.1 Performance Analysis
4.2 Intellectual Structure Analysis
5 Conclusions
References
Wearable Temperature Sensor and Artificial Intelligence to Reduce Hospital Workload
1 Introduction
2 Literature Review
3 Methods and Materials
3.1 Data Collection
3.2 Data Analytics and Machine Learning
4 Conclusions and Future Scope
References
A Recommender System to Close Skill Gaps and Drive Organisations' Success
1 Introduction
2 State of the Art
2.1 Hybrid Recommender Systems
2.2 Related Work on Skill Matching
3 Proposed Conceptual Framework for the TRS
3.1 TRS in the Context of a Talent Marketplace
3.2 Research Methodology
4 Design and Implementation of TRS
5 Discussion
6 Conclusion
References
LEEC: An Improved Linear Energy Efficient Clustering Method for Sensor Network
1 Introduction
1.1 Sensor Network
1.2 Clustering
2 Proposed System
2.1 Proposed System Flow
2.2 Solution Strategy
2.3 Suggested Algorithm
3 Simulation
3.1 Simulation Scenario
4 Result Analysis
4.1 E to E Delay
4.2 Energy Remained
4.3 PDR
4.4 Routing Overhead
5 Conclusion
References
Hydrogen Production: Past, Present and What Will Be the Future?
1 Introduction
2 The European Climate Law
3 The Importance of Hydrogen in Meeting the European Union’s Climate Objectives
4 Hydrogen
4.1 Hydrogen Production
4.2 Fossil-Based Hydrogen
4.3 Carbon Low Hydrogen
4.4 Hydrogen-Derived Synthetic Fuels
5 Conclusion
References
Implementation of the General Regulation on Data Protection – In the Intermunicipal Community of Alto Tâmega and Barroso, Portugal
1 Introduction
2 General Regulation on Data Protection
3 Research Methodology
4 Results
5 Conclusions
References
Implementing ML Techniques to Predict Mental Wellness Amongst Adolescents Considering EI Levels
1 Introduction
2 Background of the Study
3 Methodology
3.1 Dataset
3.2 Data Preprocessing
3.3 Hypothesis Testing for EI
3.4 EI and MW Prediction Models
3.5 Performance Measure of the ML Classifiers
3.6 Implementation
4 Results and Discussions
5 Conclusion and Future Work
References
Healthcare-Oriented Portuguese Sign Language Translator*-4pt
1 Introduction
2 Context
2.1 Related Work
2.2 Technologies
3 Design
3.1 Translator Front End
3.2 Translator Back End
3.3 Practice Module
3.4 Analytics
4 Prototype
4.1 System Training
4.2 Translation
5 Evaluation
6 Discussion
7 Conclusion
7.1 Limitations and Future Work
References
Adding Blockchain and Smart Contracts to a Low-Code Development Platform
1 Introduction
2 Related Work
2.1 Blockchain
2.2 OutSystems
2.3 Electronic Voting
3 Discussion
4 Evaluation
5 Conclusion
5.1 Limitations
5.2 Final Remarks
References
Attempt to Model the Impact of Digitalization on the Economic Growth of Morocco
1 Introduction
2 Related Works
3 Methodology
4 Results and Discussion
4.1 Results
5 Conclusion and Future Works
References
The Drivers and Inhibitors of COVID-19 Vaccinations: A Descriptive Approach
1 Introduction
2 Review of Existing Literature
3 Methodology
3.1 Study Sampling
4 Result
5 Discussion
6 Conclusion
6.1 Managerial Implication
6.2 Study Limitation and Future Research
References
Denoising Fundus Images of Diabetic Retinopathy Using Natural Neighborhood Kriging
1 Introduction
2 Related Work
2.1 Voronoi Properties
2.2 Delaunay Triangulation
2.3 Natural Neighbors
2.4 Natural Neighbour Interpolation
3 Proposed Model
3.1 Natural Neighborhood Search
3.2 Application
4 Conclusion
References
Design of a Compact Low-Profile Ultra Wideband Antenna (UWB) for Biomedical Applications
1 Introduction
2 Related Work
2.1 Design and Geometry of Low Profile UWB Antenna
2.2 Simulation Fabricated Design Structures for Low-Profile UWB Antenna
3 Illustrations of Fabricated Antennas used in Experiments
4 Results
5 Conclusion
References
Thyroid Nodule Classification of Ultrasound Image by Convolutional Neural Network
1 Introduction
2 Related Work
3 RREMI-RF Method
3.1 Feature Extraction Using AlexNet
3.2 Feature Selection
3.3 Classification Using RF, KNN and DE
4 Results and Discussion
4.1 Performance Analysis of RREMI-RF Method with KNN and DE Methods
5 Conclusion
References
Influence of Cross Histology Transfer Learning on the Accuracy of Medical Diagnostics Systems
1 Introduction
2 Data Collection
3 Methodology
4 Results and Discussion
5 Conclusions
References
Author Index