Intelligent Systems Design and Applications: 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December ... (Lecture Notes in Networks and Systems, 715)

Preface
ISDA 2022—Organization
Contents
Towards Automatic Forecasting: Evaluation of Time-Series Forecasting Models for Chickenpox Cases Estimation in Hungary
	1 Introduction
	2 Related Work
	3 Time-Series Forecasting Problem Definition
	4 Exploratory Data Analysis (EDA)
	5 Experimental Setup
		5.1 Data Splitting
		5.2 Data Normalization
		5.3 Models
		5.4 Evaluation Metrics
	6 Benchmarking Results
	7 Conclusion
	References
Parameters Optimization in Hydraulically Driven Machines Using Swarm Intelligence
	1 Introduction
	2 Applying Swarm Intelligence Technique to Optimize Hydraulic Parameters
		2.1 Firefly Algorithm
		2.2 Modelling the Hydraulics
	3 Developing Hydraulic Parameters Optimization Algorithm
		3.1 Optimization Algorithm
		3.2 Mass Lifting Cylinder
		3.3 Real-System and Optimization Model
	4 Results and Discussions
		4.1 Optimizing the Lift Mass, Hydraulic Parameters and Characteristic Curve
	5 Conclusion
	References
A Machine Learning Framework for Cereal Yield Forecasting Using Heterogeneous Data
	1 Introduction
	2 Materials and Methodology
		2.1 Study Area
		2.2 The Used Dataset
		2.3 Methodology
		2.4 Machine Learning Methods for Cereal Yield Forecasting
	3 Experiments and Results
		3.1 Experiment Design
		3.2 Hyper Parameters Selection
		3.3 Experimental Results
	4 Discussion and Conclusion
	References
New Approach in LPR Systems Using Deep Learning to Classify Mercosur License Plates with Perspective Adjustment
	1 Introduction
	2 Related Works
	3 Materials and Methods
		3.1 Methods
		3.2 Datsets
	4 Proposed Methodology
	5 Results and Discussion
	6 Conclusion and Future Work
	References
Ensemble of Classifiers for Multilabel Clinical Text Categorization in Portuguese
	1 Introduction
	2 Related Work
	3 Proposal
		3.1 Dataset Acquisition
		3.2 Preprocessing and Labeling
		3.3 Selection of Vectorization Techniques
		3.4 Ensemble and Validation
	4 Results and Discussions
		4.1 Embeddings Definition Results
		4.2 Classification Results
	5 Conclusion
	References
Semantic Segmentation Using MSRF-NET for Ultrasound Breast Cancer
	1 Introduction
	2 An Overview of MSRF-NET
		2.1 The Encoder
		2.2 The MSRF Sub-network
		2.3 Shape Stream
		2.4 The Decoder
		2.5 Loss Function
	3 Methodology
	4 Experimental Results
	5 Conclusion
	References
A Hybrid Image Steganography Method Based on Spectral and Spatial Domain with High Hiding Ratio
	1 Introduction
	2 Related Works
	3 Mathematical Background
		3.1 Discrete Cosine Transform (DCT)
		3.2 Substitution
	4 Proposed Methodology
	5 Results and Discussion
		5.1 Peak Signal to Noise Ratio
		5.2 Hiding Ratio (HR)
	6 Conclusion
	References
PU Matrix Completion Based Multi-label Classification with Missing Labels
	1 Introduction
	2 Related Work
	3 Proposed Method
		3.1 Problem Formulation
		3.2 Debiased Learning with PU Asymmetric Loss
		3.3 Learning Instance Dependencies by the Manifold Regularization
		3.4 Learning Label Dependencies by Low-Rank Constraint
	4 Optimization Algorithm
	5 Experiment
		5.1 Experiment Setup
		5.2 Comparing Algorithms
		5.3 Results and Analysis
		5.4 Parameters Sensibility Study
	6 Conclusion and Further Work
	References
SP2P-MAKA: Smart Contract Based Secure P2P Mutual Authentication Key Agreement Protocol for Intelligent Energy System*-12pt
	1 Introduction
		1.1 Motivation
		1.2 Paper Outlines
	2 Literature Survey
	3 Technical Preliminaries
		3.1 Lattice Based Cryptography (LBC)
	4 Proposed Model
		4.1 Network Model
		4.2 Proposed SP2P-MAKA Protocol
	5 Security Analysis
	6 Conclusion and Future Work
	References
Automated Transformation of IoT Systems Models into Event-B Specifications*-4pt
	1 Introduction
	2 State of the Art
	3 The Proposed Approach
	4 Transformation of the UML Models of IoT System into Event-B Specifications
		4.1 Structural Features
		4.2 Behavioral Features
	5 Case Study: IoT Based Health Monitoring of Elderly (IHME)
	6 Conclusion
	References
Prediction of Business Process Execution Time
	1 Introduction
	2 BPM: Business Process Management
	3 Process Mining
	4 BPETPM: Business Process Execution Time Prediction Method
	5 iBPMS4PET: Intelligent Business Process Management System for Prediction of Execution Time
	6 General Conclusion and Perspectives
	References
Pre-processing and Pre-trained Word Embedding Techniques for Arabic Machine Translation
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Neural Machine Translation
		3.2 Word Representations
		3.3 Pre-processing
	4 Experimental Setup
		4.1 Dataset
		4.2 Model Hyper-parameters
		4.3 Pre-trained Word Embeddings
	5 Results
		5.1 Pre-processing Results
		5.2 Pre-trained Word Embeddings Results
	6 Conclusion
	References
A Framework for Automated Abstraction Class Detection for Event Abstraction
	1 Introduction
	2 Related Work
	3 Framework
		3.1 Event Data
		3.2 Constructing Preceding and Succeeding Patterns
		3.3 Computing Activity Similarity
	4 Evaluation
	5 Conclusion
	References
Using Clinical Data and Deep Features in Renal Pathologies Classification
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Clinical and Image Dataset
		3.2 Evaluated Deep Features
		3.3 Evaluated Classifiers
		3.4 Evaluation Metrics
	4 Results Assessment
	5 Final Conclusions and Work Perspectives
	References
An MDA Approach for Extending Functional Dimension for Sensitive Business Processes Execution*-12pt
	1 Introduction
	2 Related Work
		2.1 Business Process Management System
		2.2 Business Process Execution
		2.3 Business Process Engine
	3 MDA Approach for the Execution of the Functional Dimension
		3.1 Types of Model Transformations
		3.2 Mapping Rules Between BPM4KI and Extended BPMN
		3.3 Activiti BPMS Meta-Model
		3.4 Implementation and Validation
	4 Conclusions
	References
Double Deep Reinforcement Learning Techniques for Low Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots
	1 Introduction
	2 Related Works
	3 Theorical Background
		3.1 Deep Q-Network - DQN
		3.2 Double Deep-Q Network - DDQN
	4 Experimental Setup
		4.1 PyTorch
		4.2 ROS, Gazebo and Turtlebot
		4.3 Simulation Environments
	5 Methodology
		5.1 Network Structure
		5.2 Reward Function
	6 Results
	7 Conclusions
	References
Review on Sentiment Analysis Using Supervised Machine Learning Techniques
	1 Introduction
		1.1 Machine Learning Sentiment Analysis Techniques
		1.2 Process Involved in Sentiment Analysis
		1.3 Sentiment Analysis Categories
		1.4 Machine Learning Algorithms in Sentiment Analysis
		1.5 Two Types of Supervised Learning Algorithm
	2 Literature Review
		2.1 Multiclass Supervised Learning Algorithms
	3 Performance Metrics
	4 Discussion
	5 Conclusion
	References
The Emotional Job-Stress of COVID-19 on Nurses Working in Isolation Centres: A Machine Learning Approach
	1 Introduction
		1.1 Machine Learning
	2 Methodology
		2.1 Data Collection
		2.2 Pre-processing
		2.3 Text Prediction (Classification)
		2.4 Support Vector Machine
	3 Results
		3.1 Demography of Participants
		3.2 Emotional Impact of COVID-19 on Frontline Nurses
	4 Discussion
		4.1 Performance of the Various Classifiers
		4.2 Limitations
	5 Conclusion
	6 Recommended Future Studies
	References
An Investigative Approach on the Prediction of Isocitrate Dehydrogenase (IDH1) Mutations and Co-deletion of 1p19q in Glioma Brain Tumors
	1 Introduction
	2 Literature Survey
		2.1 Method/Algorithm to Exploration of Paper Related to Survey
	3 Data Set
	4 System Architecture
	5 Methodology
		5.1 Implementation Details
	6 Result
	7 Conclusion
	References
Towards a French Virtual Assistant for COVID-19 Case Psychological Assistance Based on NLP
	1 Introduction
	2 Study Background
		2.1 Natural Language Processing (NLP)
		2.2 Speech Recognition
		2.3 Related Works
	3 Envisaged Approach
		3.1 Message Understanding Component (MUC)
		3.2 Retrieval and Storage Data Component (RSDC)
	4 Implementation
	5 Conclusion and Future Works
	References
CoCoSL: Agricultural Solutions Using Image Processing for Coconut Farms in Sri Lanka
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Image Pre-processing
		3.2 Components
	4 Evaluation
		4.1 Data Set
		4.2 Training and Performance
	5 Conclusion
	References
CIWPR: A Strategic Framework for Collective Intelligence Encompassment for Web Page Recommendation
	1 Introduction
	2 Related Works
	3 Proposed System Architecture
	4 Implementation, Results and Performance Evaluation
	5 Conclusions
	References
A Bioinspired Scheduling Strategy for Dense Wireless Networks Under the SINR Model
	1 Introduction
	2 The SINR Model and Scheduling
	3 The Proposed Bioinspired Scheduling Strategy
	4 Experimental Evaluation
	5 Conclusion
	References
Implementation Analysis for the Applications of Warehouse Model Under Linear Integer Problems
	1 Introduction
	2 Design and Methodology
		2.1 Linear Programming Technique
		2.2 Analytical Hierarchical Process
		2.3 Rough Analytic Hierarchy Process
	3 Framework Implementation
		3.1 Implementation of Linear Programming Technique
		3.2 Implementation of the AHP Model
		3.3 Implementation of the Rough AHP Model
		3.4 Implementation of the Rough TOPSIS Model
	4 Result of Linear Programming Technique
	5 Conclusion
	References
Inventiveness of Text Extraction with Inspiration of Cloud Computing and ML Using Python Logic
	1 Introduction
	2 Discussion
		2.1 Web Structure
		2.2 The Social Web
		2.3 The Internet of Things (IoT), Internet of Everything (IoE), and Concept of Anywhere-on-Earth (AoE)
	3 Business Intelligence and Big Data Analytics
	4 Data Science, Machine Learning and Web Science Approach
	5 Big Data Analytics
	6 Data Structures for Code Optimization and Computational Analysis
	7 Use of NLTK for Text Analysis Operations
		7.1 Proposed Method for Optimizing Text Extraction Process Through Python for Data Science
	8 Conclusion
	References
Trade Management System Using R3 Corda Blockchain
	1 Introduction
		1.1 Public vs Private Blockchain
	2 Literature Survey
		2.1 Related Work
	3 R3 Corda - Preliminaries
		3.1 States
		3.2 Contracts
		3.3 Flows
		3.4 Notaries
	4 Proposed Architecture for Trade Management Using R3 Corda
		4.1 States and Its Working in Trade Management
		4.2 Contracts and Its Working in Trade Management
		4.3 Flow and Its Working in Trade Management
	5 Implementation and Result Analysis
		5.1 Case Study
	6 Conclusion
	References
An Improved GAN-Based Method for Low Resolution Face Recognition
	1 Introduction
	2 Proposed Method for Low Resolution Face Recognition (LRFR)
		2.1 Off-line Phase
		2.2 Inference Phase
	3 Experimental Study
		3.1 Dataset Description
		3.2 Experimental Protocol
		3.3 Evaluation Metrics
		3.4 Experimental Results
	4 Conclusion
	References
The Bibliometric Global Overview of COVID-19 Vaccination
	1 Introduction
	2 Material and Method
		2.1 Applied Bibliometric Methods in COVID-19 Vaccination
	3 Results
	4 Discussion
	5 Conclusion
		5.1 Limitations of the Study
		5.2 Future Studies
	References
Continuous Authentication of Tablet Users Using Raw Swipe Characteristics: Tree Based Approaches
	1 Tablets
		1.1 Introduction
		1.2 Some Applications
		1.3 Touchscreens
	2 Security in Tablets
		2.1 Primary Security Measures in Tablets
		2.2 Secondary Security Measures for Tablets
		2.3 Touch Based CA: Its Significance and Desirable Qualities
	3 TCA Using Raw Swipe Vectors
		3.1 Swipes
		3.2 Swipe Vectors
		3.3 Continuous Authentication Based on Raw Swipe Vectors
	4 Related Works
	5 This Work
	6 Dataset Characteristics
	7 The Framework
		7.1 Random Forests (RF)
		7.2 AdaBoost (ADB)
		7.3 Extreme Gradient Boost (XGB)
		7.4 Gradient Boosting Classifier (GBC)
		7.5 Extra Trees Classifier (ETC)
	8 Overall Measures of Performance
	9 Results and Discussions
	10 Conclusions
	References
A Survey on Controllable Abstractive Text Summarization
	1 Introduction
	2 Related Work
	3 Challenges
	4 Conclusion
	References
Explainable Decision Making Model by Interpreting Classification Algorithms
	1 Introduction
	2 Proposed Decision-Making Model
		2.1 Mathematical Notations
		2.2 Probabilistic Label Assignment
		2.3 Preference Order Generation
	3 Results
	4 Conclusion
	References
Combining Clustering and Maturity Models to Provide Better Decisions to Elevate Maturity Level
	1 Introduction
	2 Methods
	3 Results and Discussion
	4 Conclusion
	References
Tourist Trajectory Data Warehouse: Event Time of Interest, Region of Interest and Place of Interest
	1 Introduction
	2 State of the Art
	3 Running Example
	4 Trajectory Data Definitions
	5 Modeling Tourist Trajectory Data
	6 Tourist TrDW Schema Design
	7 Experimental Implementation Approach
	8 Conclusion
	References
Multi-level Image Segmentation Using Kapur Entropy Based Dragonfly Algorithm
	1 Introduction
	2 Related Work
	3 Proposed Work
	4 Experimental Setup
	5 Data Analysis and Results
		5.1 Analysis of images
	6 Discussion
	7 Conclusion
	References
Prediction Analytics of Hyperledger Blockchain Data in B2B Finance Applications
	1 Introduction
		1.1 Blockchain in Business to Business (B2B) and Business to Customer (B2C)
	2 Literature Survey
	3 Blockchain Technology in B2B Applications
		3.1 Hyperledger Platform
	4 Hyperledger Working Mechanism in B2B Business Applications
		4.1 Steps Involved in Business Transaction Management Using Hyperledger Fabric
	5 Data Analytics and Prediction of Hyperledger Based Blockchain Data for Finance Application
		5.1 Sample Analytics for Finance Application
	6 Conclusion
	References
Effective Connectivity of High-Frequency Oscillations (HFOs) Using Different Source Localization Techniques
	1 Introduction
	2 Materials and Methods
		2.1 Materials
		2.2 Methods
	3 Results
	4 Conclusion and Discussion
	References
Enhanced Road Damage Detection for Smart City Surveillance
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Convolutional Neural Network
		3.2 Deep Convolutional Neural Network
		3.3 LeNET-5
		3.4 VGG16
		3.5 Inception
		3.6 RESNET
	4 Results and Discussion
	5 Conclusion
	6 Future Scope
	References
A Deep Learning Based Natural Language Processing Approach for Detecting SQL Injection Attack
	1 Introduction
	2 Related Work
		2.1 SQL Injection Attack
		2.2 DL Algorithms
		2.3 ML Algorithms
	3 Methodology
		3.1 Procedures and Optimization
		3.2 Algorithms
	4 Results and Discussion
		4.1 Dataset Description
		4.2 Configuration of Detection Parameters
		4.3 Feature Set Injection
		4.4 Confusion Matrix, Accuracy Visualization, and ToP
		4.5 Performance Optimization
		4.6 Performance Testing
	5 Conclusion
	References
ML Classifier Using Multiple Neural Networks Trained by Linear Programming
	1 Introduction
	2 Literary Survey
		2.1 The HSIC Bottleneck [1]
		2.2 Online Alternating Minimization with Auxiliary Variables [2]
		2.3 Decoupled Neural Interfaces Using Synthetic Gradients [3]
	3 Background and Related Work
		3.1 Network Structure
		3.2 Training Process
		3.3 Propagation Process
		3.4 Result Correcting Process
	4 Prerequisites
		4.1 Training Data
		4.2 LP Solver
		4.3 Tools/Libraries and Programming Language
	5 Proposed Model for Classifier Using Multiple Neural Networks Trained by LP
		5.1 Proposed Model Architecture
	6 Algorithmic Comparison
	7 Performance Analysis
		7.1 Industry Dataset
		7.2 Synthetic Dataset
	8 Conclusion
	References
Improving the Categorization of Intent of a Chatbot in Portuguese with Data Augmentation Obtained by Reverse Translation
	1 Introduction
	2 Related Works
	3 Theoretical Foundation
	4 Method Proposal
	5 Experiment and Results
	6 Conclusion
	References
TIR-GAN: Thermal Images Restoration Using Generative Adversarial Network
	1 Introduction
	2 Proposed Method
		2.1 Generative Sub-network
		2.2 Discriminative Sub-network
	3 Experimental Study
		3.1 Dataset\'s Description
		3.2 Experimental Metrics
		3.3 Experimental Results
	4 Conclusion
	References
A Multi-level Wavelet Decomposition Network for Image Super Resolution
	1 Introduction
	2 State of the Art
	3 Proposed Method
	4 Experimental Results
	5 Conclusion
	References
Multi-modal Knowledge Graph Convolutional Network for Recommendation
	1 Introduction
	2 Related Work
	3 Problem Formulation
	4 Method
		4.1 MKG Entity Encoder
		4.2 MKGCN Layer
		4.3 Model Prediction
	5 Experiments
		5.1 Datasets
		5.2 Baselines
		5.3 Experimental Setup
		5.4 Experimental Results
	6 Conclusions
	References
Comparing SVM and Random Forest in Patterned Gesture Phase Recognition in Visual Sequences
	1 Introduction
	2 Theoretical Background
		2.1 Gesture Phase Segmentation
		2.2 Support Vector Machines
		2.3 Random Forest
	3 Gesture Phase Segmentation with RF
		3.1 Dataset
		3.2 Gesture Phase Segmentation
	4 Results and Analysis
	5 Conclusion
	References
Machine Learning for Complex Data Analysis: Overview and a Discussion of a New Reinforcement-Learning Strategy
	1 Introduction
	2 Big Data Analysis Using Machine Learning
		2.1 Big Data Analysis in the Transportation Field
		2.2 Big Data Analysis in the Healthcare Field
		2.3 Big Data Analysis in the Agriculture Field
	3 Synthesis
	4 A New Reinforcement Learning Strategy Based on Self-design Agents for Complex Data Analysis: Application on Road Accidents
	5 Conclusion and Future Scope
	References
Enhanced Zero Suffix Method for Multi-objective Bulk Transportation Problem
	1 Introduction
	2 Mathematical Formulation of the Problem
	3 Algorithm
	4 Numerical Problem
	5 Result
	6 Comparative Study
	7 Conclusion
	References
Speech Emotion Recognition Using Support Vector Machine and Linear Discriminant Analysis
	1 Introduction
	2 Literature Review
	3 Speech Database
	4 Proposed Methodology
	5 Feature Selection and Extraction
		5.1 Prosodic Features
		5.2 Spectral Features
		5.3 Temporal Features
		5.4 Features Considered
	6 Classifier Selections
		6.1 Support Vector Machine (SVM)
		6.2 Linear Discriminant Analysis
	7 Results and Discussion
		7.1 Feature Selection
		7.2 Training Model
		7.3 Performance Comparison
	8 Conclusion
	References
Human Activity Recognition in a Thermal Spectrum for an Intelligent Video Surveillance Application
	1 Introduction
	2 Proposed Method
		2.1 Off-line Phase: Building the Thermal Activity Model
		2.2 Inference Phase: Activity Recognition
	3 Experimental Results
		3.1 First Series of Experiments
		3.2 Second Series of Experiments
	4 Conclusion
	References
Detecting Urgent Instructor Intervention Need in Learning Forums with a Domain Adaptation
	1 Introduction
	2 Related Works
	3 Algorithms
		3.1 Word and Sentence Embeddings
		3.2 Multitask Training
		3.3 Seed Words and Sentences
	4 Results and Discussion
		4.1 Data Set
		4.2 Intra-domain Analysis
		4.3 Cross-domain Analysis
		4.4 Domain Adaptation Analysis
	5 Conclusion
	References
Extracting the Distinctive Features of Opinion Spams Using Logistic Regression
	1 Introduction
	2 State of the Art
	3 Our Approach
		3.1 Datasets
		3.2 Pre-processing
		3.3 Annotation Dictionary
		3.4 Discussion
	4 Experiments
		4.1 Dataset and Extracted Features
		4.2 Discussion
	5 Conclusion
	References
ILP-Based Approach for Cloud IaaS Composition
	1 Introduction
	2 Problem Statement
	3 Related Work
	4 System Model
		4.1 User Request Model
		4.2 Multi-cloud Model and Assumptions
	5 Problem Formulation
		5.1 Problem Constraints
		5.2 Objective Function
	6 Performance Evaluation
		6.1 Simulation Environment
		6.2 Simulation Results
	7 Conclusion
	References
A Comparative Analysis of Prediction of Brain Stroke Using AIML
	1 Introduction
	2 Related Survey
	3 Methodology Implemented
		3.1 Balancing Dataset
		3.2 SMOTE Algorithm: Synthetic Minority Oversampling Technique
	4 Summary
	5 Conclusion and Future Work
	References
Predicting Points of Interest with Social Relations and Geographical-Temporal Information
	1 Introduction
	2 Related Work
	3 Proposed Method
		3.1 Social Connections
		3.2 Users\' Preferences
		3.3 Temporal Matrix Factorization
		3.4 Users\' Context Model
	4 Experiments
		4.1 Dataset
		4.2 Evaluation Metrics
		4.3 Compared Approaches
	5 Discussion and Analysis of Results
	6 Conclusion
	References
Machine Learning Method for DDoS Detection and Mitigation in a Multi-controller SDN Environment Using Cloud Computing
	1 Introduction
	2 Related Works
	3 Proposed Method
	4 Case Study
		4.1 Training ML Model in the Cloud
		4.2 Model Deployment in the SDN
		4.3 Real Time DDoS Detection and Mitigation in SDN
	5 Conclusion
	References
A Survey of Recent Techniques in Computational Drug Repurposing
	1 Introduction
	2 Drug Repositioning Strategies
	3 Drug Repositioning Methods
		3.1 Machine Learning Methods
		3.2 Network-Based Methods
		3.3 Text Mining Methods
	4 Data Sources
	5 Challenges and Opportunities
	6 Conclusion
	References
Face Mask Recognition Based on Two-Stage Detector
	1 Introduction
	2 Related Work
	3 Methodology/Pipeline
		3.1 Dataset
		3.2 Data Preprocessing
		3.3 Data Augmentation
		3.4 Classification of Images Using Faster R-CNN
		3.5 Building Blocks of Faster R-CNN
	4 Implementation
		4.1 Performance Metrics
	5 Results
	6 Future Work
	7 Conclusion
	References
Energy Efficiency of Python Machine Learning Frameworks
	1 Introduction
	2 Background
		2.1 Machine Learning
		2.2 Support Vector Machine
		2.3 Deep Learning
		2.4 Convolutional Neural Networks
		2.5 Recurrent Neural Network
		2.6 Overview of Machine Learning Frameworks
	3 Related Works
	4 Benchmarking Setup
		4.1 Evaluation Metrics
		4.2 System Setup
	5 Methodology Implementations
	6 Experimental Comparison and Analysis
	7 Conclusion and Future Work
	References
Author Index