دانلود کتاب Proceedings of International Joint Conference on Advances in Computational Intelligence: IJCACI 2022

فهرست مطالب :

Preface
Contents
About the Editors
1 An Approach for Sign Language Recognition with Deep Learning Algorithm
1 Introduction
2 Related Work
3 Methodology
3.1 Data Collection
3.2 Image Pre-processing
3.3 Feature Extraction
3.4 Classification and Training the Model
3.5 Recognition
3.6 Working System
4 Conclusion and Future Scope
References
2 Using the Contrastive Language-Image Pretraining Model for Object Detection on Images Containing Textual Labels
1 Introduction and Motivating Work
2 Methodology
2.1 Dataset Creation
2.2 Breakfast Cereals
2.3 Beverages
2.4 Snack Dataset
2.5 Model
2.6 Training
3 Proposed Technique
4 Experiments and Results
5 Discussion and Conclusion
References
3 An Entropy-Based Hybrid Vessel Segmentation Approach for Diabetic Retinopathy Screening in the Fundus Image
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Preprocessing
3.2 Blood Vessel Segmentation
4 Experimental Setup
4.1 Data Sets
4.2 Evaluation Metrics
5 Results and Discussion
6 Conclusion
References
4 Facial Recognition Approach: As per the Trend of 2022–23 Using Python
1 Introduction
2 Biometrics
3 Related Work
4 Methodology
5 Results and Discussion
6 Conclusion
References
5 Parametric Optimization of Friction Welding on 15CDV6 Aerospace Steel Rods Using Particle Swarm Algorithm
1 Introduction
2 Experimental Procedure
3 Optimization Technique
4 Results and Discussions
5 Confirmation Test
6 Conclusions
References
6 Review on Fetal Health Classification
1 Introduction
2 Literature Review
3 Conclusion
References
7 SDN-Based Task Scheduling to Progress the Energy Efficiency in Cloud Data Center
1 Introduction
2 Literature Survey
3 Proposed Work
3.1 Software-Defined Network (SDN)
3.2 Fat-Tree Topological Architecture
3.3 Energy-Efficient Genetic Algorithm for Task Scheduling
4 Model
5 Experimental Results and Discussion
6 Conclusion
References
8 A Review on Machine Learning-Based Approaches for Image Forgery Detection
1 Introduction
2 Types of Image Forgery
3 Challenges in Machine Learning-Based Automated Detection of Image Forgery
4 Previous Work
5 Comparative Analysis
6 Conclusion
References
9 Ponzi Scam Attack on Blockchain
1 Introduction
2 Motivation
3 Literature Review
4 Research Gap Identified
5 Conclusion
References
10 Using the Light Gradient Boosting Machine for Prediction in QSAR Models
1 Introduction
1.1 Genotoxicity
1.2 MAO-B Bioactivity
1.3 CCR5 Bioactivity
2 Description of the Optimization Problem
2.1 Problem Model
2.2 Optimization Methods
2.3 Implementation and Comparison of Different Optimization Methods
3 Results
3.1 Genotoxicity
3.2 MAO-B Bioactivity
3.3 CCR5 Bioactivity
4 Conclusions
References
11 The Adaptation of the Discrete Rat Swarm Optimization Algorithm to Solve the Quadratic Assignment Problem
1 Introduction
2 RSO Algorithm
2.1 Mathematical and Logical Modeling of Behavior
3 Quadratic Assignment Problem (QAP)
4 Discrete RSO Algorithm for QAP
4.1 Update Position
4.2 Check the Position Quality
4.3 Operator of Discrete RSO
4.4 Parameters of Discrete RSO
4.5 The Two Exchange
4.6 The Objective Function
5 Computer Results and Analysis
5.1 Results
5.2 Comparison of DRSO with CSO
6 Conclusion
References
12 Multiple Distributed Generations Optimization in Distribution Network Using a Novel Dingo Optimizer
1 Introduction
2 Problem Formulation
2.1 Objective Function
2.2 Constraints
3 Dingo Optimizer
3.1 Encircling
3.2 Hunting
3.3 Attacking Prey
3.4 Searching
3.5 Application of Dingo Optimizer for Multiple DG Placements
4 Results and Discussion
4.1 Voltage Profile
4.2 Real Power Loss
4.3 Reactive Power Loss
4.4 Comparison with Other Optimization Technique
5 Conclusion
References
13 Prediction of Daily Precipitation in Bangladesh Using Time Series Analysis with Stacked Bidirectional Long Short-Term Memory-Based Recurrent Neural Network
1 Introduction
2 Methods and Materials
2.1 Dataset Description and Research Area
2.2 Time Series Analysis
2.3 Long Short-Term Memory
2.4 Stacked Bidirectional LSTM
2.5 Measure of Fit, and Scoring
3 Experiment
3.1 Data Pre-processing
3.2 Defining the Model
3.3 Fitting the Model
4 Results and Discussion
5 Conclusions
References
14 A New Face Recognition System
1 Introduction
1.1 Background
1.2 Face Recognition
1.3 Techniques for Face Recognition
1.4 Face Recognizing Verification Structures
1.5 Face Recognition with Python
1.6 Deep Learning
1.7 Image Processing
1.8 Need of Research
2 Literature Review
3 Research Methodology
4 Result and Discussion
5 Comparative Analysis
5.1 Comparative Analysis of Accuracy
6 Conclusion
References
15 A Review on Quality Determination for Fruits and Vegetables
1 Introduction
2 Imaging and Instrumental Methods for Quality and Grading
3 Summary and Discussion
4 Conclusion
References
16 A New Image Encryption Scheme Using RSA Cryptosystem and Arnold Algorithm
1 Introduction
2 Related Works
3 Arnold Algorithm
4 RSA Cryptosystem
5 Proposed Algorithm
6 Result Analysis
7 Future Direction
References
17 An Integrated ATPRIS Framework for Smart Sustainable and Green City
1 Introduction
2 ATPRIS Framework
2.1 Smart Agriculture System
2.2 Intelligent Transportation System
2.3 Technology: Information and Communication Technology (ICT)
2.4 Infrastructure and Health Care
3 Conclusion
References
18 Detection of DDoS Attacks in Cloud Systems Using Different Classifiers of Machine Learning
1 Introduction
1.1 Types of DDoS Attacks (Lohachab and Karambir [5])
2 Related Work
3 A Hybrid Approach
4 A New Approach Using Classifiers—Rainbow Technique
5 Conclusion
References
19 EEG Signal Classification for Left and Right Arm Movements using Machine Learning
1 Introduction
2 Literature Survey
3 Methodology
3.1 Experimental Setup
3.2 Data Collection
3.3 Data Preprocessing
3.4 Feature Extraction
3.5 Classification
4 Results and Discussion
5 Conclusion
References
20 A Holistic Study on Aspect-Based Sentiment Analysis
1 Introduction
1.1 Sentiment Analysis
1.2 Aspect-Based Sentiment Analysis
1.3 Machine Learning
1.4 Deep Learning
1.5 Role of Machine Learning in Aspect-Based Sentiment Analysis
2 Literature Review
2.1 Literature Survey
2.2 Comparative Study
3 Problem Statement
4 Comparison of ML and DL
5 Need of Research
6 Scope of Research
References
21 Behavioral System for the Detection of Modern and Distributed Intrusions Based on Artificial Intelligence Techniques: Behavior IDS-AI
1 Introduction
2 Literature Review
3 Fundamentals
3.1 Behavior-Based Intrusion Detection System
3.2 Feature Reduction Technique
3.3 Models
4 Our Proposed Approach
4.1 Dataset Description
4.2 Metrics Evaluation
5 Experimental Results
5.1 Results
5.2 Related Work Comparison
6 Conclusion and Future Works
References
22 A Novel Integer-Based Framework for Secure Computations over Ciphertext Through Fully Homomorphic Encryption Schemes in Cloud Computing Security
1 Introduction
1.1 Algorithms of Homomorphic Encryption Scheme
2 Background
3 Proposed Scheme
4 Experimental Results
5 Comparative Analysis
6 Conclusion
References
23 A Narrative Review of Students’ Performance Factors for Learning Analytics Models
1 Introduction
2 Literature Review
2.1 Behavioural Factors
2.2 Traditional Factors
2.3 Participation and Engagement Factors
3 Discussion and Research Gaps
4 Conclusion
References
24 Optimum Design of Base Isolation Systems with Low and High Damping
1 Introduction
2 Method
3 Results
4 Discussion and Conclusion
References
25 The General View of Virtual Reality Technology in the Education Sector
1 Introduction
2 Literature Review
3 Method
4 Result and Discussion
5 Conclusion
References
26 Detection of Sign Language Using TensorFlow and Convolutional Neural Networks
1 Introduction
2 Literature Review
3 Methodology
3.1 Detecting Hand Gestures
3.2 Neural Network
3.3 Deep Learning
3.4 Python Packages for Keras and TensorFlow
3.5 Image Cropping
3.6 Splitting into Sets
3.7 Training
3.8 Implementation
4 Result and Analysis
5 Conclusion
References
27 Exploring Spatial Variation of Soils Using Self-organizing Maps (SOMs) and UHPLC Data for Forensic Investigation
1 Introduction
2 Related Works
3 Methodology
3.1 Dataset
3.2 Statical Data Analysis
4 Results and Discussions
4.1 Mean Chromatogram
4.2 PCA
4.3 SOMs
5 Conclusion
References
28 Application of Deep Learning for Wafer Defect Classification in Semiconductor Manufacturing
1 Introduction
2 Related Work
3 Methodology
3.1 WM-811 k Dataset
3.2 Conditional GAN (cGAN)
3.3 Geometric Transformations (GEO)
3.4 Convolutional Neural Networks (CNN)
4 Experiments and Results
4.1 Model Evaluation
4.2 Results and Analysis
5 Conclusion
References
29 Helping the Farmer with the Detection of Potato Leaf Disease Classification Using a Convolutional Neural Network
1 Introduction
2 Review of Literature
3 Proposed Methodology
3.1 Data Collection
3.2 Data Preprocessing
3.3 Convolutional Neural Network (CNN)
4 Model Evaluation
5 Conclusion and Future Work
References
30 Analysis of ML-Based Classifiers for the Prediction of Breast Cancer
1 Introduction
1.1 Background
1.2 Related Works
1.3 Objectives
2 Methodology
2.1 Data Collection
2.2 Data Preprocessing
2.3 Feature Selection
2.4 Classification
3 Proposed Framework
4 Results and Discussion
5 Conclusion
References
31 Covid-19 Detection Using Deep Learning and Machine Learning from X-ray Images–A Hybrid Approach
1 Introduction
2 Related Work
3 Method
3.1 A Transfer Learning Approach to Extract Features
3.2 Machine Learning Algorithm as a Classifier
4 Dataset and Experimental Setup
4.1 Dataset
4.2 Pre-processing
4.3 Features Extraction Using Deep Learning
5 Covid-19 Detection Using Machine Learning Classifier
6 Performance Evaluation Metrics
7 Results and Discussion
8 Conclusion
9 Limitations and Future Work
References
32 Detecting COVID-19 in Inter-Patient Ultrasound Using EfficientNet
1 Introduction
2 Methodology
3 Results
3.1 Dataset Description
3.2 Results
4 Conclusion
References
33 Expert System for Medical Diagnosis and Consultancy Using Prediction Algorithms of Machine Learning
1 Introduction
2 Related Work
3 Methodology
3.1 Algorithm
4 Experimental Setup and Results
5 Conclusion
References
34 Dense Monocular Depth Estimation with Densely Connected Convolutional Networks
1 Introduction
2 Related Work
2.1 Depth Estimation from an RGB Image
2.2 Image-Based 3D Reconstruction
2.3 Depth Estimating CNN With Encoder-Decoder Architecture
3 Proposed Method
3.1 Design Framework for the Proposed Method
3.2 Network Architecture
3.3 Performance of the Proposed Network
3.4 Loss Function
3.5 Data Augmentation
4 Experimental Results
4.1 Dataset Used
4.2 Implementation Details
4.3 Evaluation Metrics
4.4 Performance Comparison
5 Conclusion and Future Work
References
35 Learning Automata Based Harmony Search Routing Algorithm for Wireless Sensor Networks
1 Introduction
2 Related Work
2.1 Problem Statement
2.2 Learning Automate Based Routing Mechanism in the WSNs Using Harmony Search Algorithm
2.3 WSN Model
2.4 Learning Automate Based Mechanism
2.5 Learning Automate Based Harmony Search Routing Algorithm
2.6 Evaluating New Harmony Using Fitness Function and Replacing with Worst Harmony
3 Simulation and Results
4 Conclusion and Future Scope
References
36 Financial Option Pricing Using Random Forest and Artificial Neural Network: A Novel Approach
1 Introduction
2 Literature Overview
2.1 Artificial Intelligence (AI) Models
3 Proposed Methodology
3.1 Random Forest Regression
3.2 Artificial Neural Network
3.3 Performance Evaluation
4 Research Data
5 Results
6 Conclusion
References
37 Hosting an API Documentation Portal Using Swagger and Various AWS
1 Introduction
2 Basic Elements of API Documentation
3 Standard API Documentation Tools
4 Related Works
5 Methodology
5.1 Design Concepts
5.2 Implementation
5.3 Workflow
6 Metrics and Measurements
7 Results and Discussion
8 Conclusions
9 Future Scope
References
38 Bi-Level Linear Fuzzy Fractional Programming Problem Under Trapezoidal Fuzzy Environment: A Solution Approach
1 Introduction
2 Preliminaries
2.1 Interval Valued and Bi-Objective Optimization Problems
2.2 Change of Variable Method
3 Linearization Process of Fractional Function
4 Bi-Level Fuzzy FPP: Problem Formulation
5 Proposed Solution Approach
5.1 Algorithm
6 Numerical Example
6.1 Result Analysis
7 Conclusions
References
39 Comparative Assessment of Runoff by SCS-CN and GIS Methods in Un-Gauged Watershed: An Appraisal of Denwa Watershed
1 Introduction
2 Study Area
3 Database
4 Methodology
4.1 Relief Map
4.2 Rainfall Map
4.3 Land Use Land Cover (LULC)
4.4 Hydrological Soil Group (HSG)
4.5 Soil Map
4.6 Hydrological Soil Cover Complex (HSCC)
4.7 Antecedent Moisture Condition (AMC)
4.8 Curve Number
4.9 SCS Model
4.10 Estimation of S
5 Results and Discussion
6 Conclusions
References
40 Transfer Learning-Based Machine Learning Approach to Solve Problems of E-commerce: Image Search
1 Introduction
2 Related Work
3 Research Methodology
4 Results and Discussion
5 Conclusion
References
41 Performance Analysis of Rotten Vegetable Classifier Using Convolutional Neural Networks
1 Introduction
2 Review of Literatures
3 Research Gap
4 Vegetable-Classifier CNN Model
5 Experimental Study and Observations
5.1 Observation
6 Concluding Remarks
References
42 Reduced-Order Model of the Russian Service Module via Loewner Framework
1 Introduction
2 Background
2.1 System Dynamics and Loewner Framework
3 Numerical Results
4 Conclusion and Future Work
References
43 Error Analysis of Hydrate Formation Pressure Prediction Using ANN Algorithms and ANFIS
1 Introduction
2 Literature Review
2.1 Artificial Neural Networks
2.2 Adaptive Neuro-Fuzzy Inference System
3 Methodology
3.1 Data Collection
3.2 ANN and ANFIS for Hydrate Formation Pressure Prediction
3.3 Error Analysis
4 Results and Discussions
5 Conclusions
References
44 An Efficient Methodology for Brain Tumor Segmentation Using Genetic Algorithm and ANN Techniques
1 Introduction
2 Related Work
3 Brain Tumor
3.1 Types of Brain Tumors
3.2 Techniques to Identify Brain Tumor
4 Proposed Work
5 Experimental Results and Discussion
5.1 Tables and Graphs
6 Conclusion
References
45 Generating Abstract Art from Hand-Drawn Sketches Using GAN Models
1 Introduction
2 Related Work
3 Methodology
3.1 Dataset
3.2 Framework
3.3 Sharpening Techniques
3.4 Generative Adversarial Network
4 Result
5 Conclusion and Future Scope
References
46 Portfolio Selection Strategy: A Teaching–Learning-Based Optimization (TLBO) Approach
1 Introduction
2 Related Work
3 Portfolio Selection Problem and Research Procedure
3.1 Data Collection and Analysis
4 Proposed Solution Approach
4.1 Teaching–Learning-Based Optimization (TLBO)
5 An Illustration
6 Conclusion
References
47 Friend Recommendation System Based on Heterogeneous Data from Social Network
1 Introduction
2 Related Works
2.1 History of Friend Recommendation System
2.2 Heterogeneous Data
2.3 Methods of Friend Recommendation
2.4 Emotion Classification
2.5 Topic Classification
3 Methodology
3.1 Dataset and Processing
3.2 Training
3.3 Evaluation
4 Implementation
4.1 Data Collection for Text Classification
4.2 Training
4.3 Facebook Post Classification
4.4 KMeans
4.5 KModes
4.6 DBSCAN
4.7 Conclusion
5 Result and Discussion
5.1 Silhouette Coefficient
5.2 Calinski Harabaz Index
5.3 Davies Bouldin Index
5.4 Experimental Results
5.5 Comparison
6 Conclusion
References
48 Towards Quality Improvement and Prediction of Closed Questions on Stack Overflow
1 Introduction
2 Related Works
2.1 Duplicate Question
2.2 Question Unanswerablity
2.3 Closed Question
2.4 Research Gap
3 Methodology
3.1 Dataset
3.2 Feature Extraction
3.3 Feature Selection
3.4 Sampling
3.5 Training
4 Result and Discussion
4.1 Kaggle Dataset
4.2 Our Dataset
4.3 Evaluation of Performance
4.4 Comparison
5 Conclusion
References
49 A Knowledge-Based Consultant Student System Using Reasoning Techniques for Selection of Courses in Smart University
1 Introduction
2 The Proposed Model
2.1 Gather Datasets with Establishment of a Matrix for Students’ Evaluation
2.2 Calculate a Matrix–Vector Average
2.3 Choose Matched Rules Expressed in Knowledge Base (KB)
2.4 Apply Reasoning Techniques Using the Forward Chaining Process
2.5 Find Student Expectations in Order to Match the Courses of Smart University
3 Experimental Results
3.1 Some Consulting Criteria for Choosing Research Topics, Internships, and Projects Suitable for Students
3.2 For the Administrator
4 Conclusions
References
50 Face Mask Detection in Real-Time Using an Automatic Door Control System
1 Introduction
2 Methodology
2.1 Data Collection
2.2 Data Processing
2.3 Training a Model to Detect Face Masks
2.4 Steps for Face Mask Detection
2.5 Process
3 Results and Discussion
3.1 Model Training and Evaluation Metrics
3.2 Evaluation Parameters
3.3 Evaluation of Models
4 Conclusion
References
51 FIODC Architecture: The Architecture for Fashion Image Annotation
1 Introduction
2 Related Work
2.1 Object Detection
2.2 Object Detection Approaches
2.3 Methods for Object Detection
2.4 Object Detection and Convolution Neural Network
3 Proposed Work
3.1 Fashion Image Object Detection and Classification (FIODC) Architecture
3.2 Proposed Methodology
3.3 Data Augmentation
3.4 Model Selection
3.5 Model Training
3.6 Evaluation Metrics
4 Experimental Results and Analysis
5 Conclusion and Future Work
References
52 A Deep Learning Approach to Analyze the Stock Market During COVID-19
1 Introduction
2 Related Works
3 Methodology
4 Implementation
5 Results Analysis
6 Conclusion and Future Work
References
53 Detection of Social Bots in Twitter Network
1 Introduction
2 Related Literature
3 Proposed Hybrid Approach to Bot Detection
3.1 Feature Extraction
3.2 Model Building
4 Experiments and Results
4.1 Datasets
4.2 Evaluation Metrics
4.3 Exploratory Data Analysis (EDA) on TwiBot-20 Dataset
4.4 Experimentation with Different Encoding Approaches
5 Conclusion and Future Work
References
54 EKF-Based Position Estimation of Wheeled Mobile Robot for 2-D Motion
1 Introduction
2 System Model
3 EKF-Based Localization
4 Simulation Result
5 Conclusion
References
55 Control Application to a Heating System Used in an Auditorium with Complex Topology
1 Introduction
2 Numerical Model
3 Numerical Methodology
4 Results and Discussion
4.1 Air Temperature
4.2 PMV Index
4.3 Thermal Power
5 Conclusions
References
56 Mathematical Analysis of Effect of Nutrients on Plankton Model with Time Delay
1 Introduction
2 Mathematical Expression for Nutrient-Plankton Model
3 Analysis of Model for Positive and Bounded Solution
4 Existence of Equilibrium Points and Their Steadiness Analysis
4.1 Steadiness Analysis of Equilibrium Points
5 Analysis of Model Without Time Delay and with Time Delay
5.1 Analysis of the Delay-Free Model
5.2 Analysis of Model with Time Delay and Hopf Bifurcations
6 Numerical Simulations
7 Conclusion
References
57 Enhanced Dragonfly-Based Secure Intelligent Vehicular System in Fog via Deep Learning
1 Introduction
2 Related Survey
3 Proposed Work
3.1 Network Architecture for VANET
3.2 Dragonfly Algorithm
4 Result Analysis
5 Conclusion
References
58 Towards Ranking of Gene Regulatory Network Inference Methods Based on Prediction Quality
1 Introduction
2 GRN Inference Methods
3 Experimental Evaluation
3.1 Datasets
3.2 Performance Evaluation Metrics
3.3 Assessment of the Prediction Quality of GRN Inference Methods
3.4 Ranking the GRN Inference Methods Based on Prediction Quality
4 Conclusion
References
59 Role of Viral Infection in Toxin Producing Phytoplankton and Zooplankton Dynamics: A Mathematical Study
1 Introduction
2 Model Formulation
3 Basic Preliminaries
3.1 The Positivity and Boundedness of the System
4 Equilibrium Points and Stability Analysis
4.1 Equilibrium Points
4.2 Stability Analysis
5 Hopf Bifurcation Analysis
6 Numerical simulation
7 Discussion
References
Author Index