Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2023 (Lecture Notes in Networks and Systems, 725)

✍ Scribed by Asit Kumar Das (editor), Janmenjoy Nayak (editor), Bighnaraj Naik (editor), S. Vimal (editor), Danilo Pelusi (editor)

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 748
• Category: Library

✦ Synopsis

This book features high-quality research papers presented at the 5th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2023), held at Department of Computer Science and Engineering, Techno Main Salt Lake, West Bengal, India, during May 27–28, 2023. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics, and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

✦ Table of Contents

Organization Committee
Preface
Acknowledgements
Contents
Editors and Contributors
A New Technique of Cipher Type Identification Using Convolutional Neural Networks
1 Introduction
2 Objective and Motivation
3 Preliminaries
3.1 AES-128 Cipher
3.2 RC-4 Cipher
3.3 Cryptanalysis
3.4 Convolutional Neural Network (CNN)
3.5 Punched Tape
4 Proposed Method of Cipher Type Identification
4.1 Corpus Creation
4.2 Encryption Process
4.3 Dataset Generation
4.4 Building the Classifier Model
5 Experimental Results and Analysis
5.1 ResNet50V2
5.2 MobileNetV2
5.3 Comparison Between Proposed Models
6 Conclusion
References
Monthly Rainfall Forecasting Using Sequential Models
1 Introduction
2 Related Works
3 Materials and Methods
3.1 Data Collection
3.2 Recurrent Neural Network (RNN)
3.3 Long Short-Term Memory (LSTM)
4 Experimental Results
4.1 Performance Evaluation Criteria
4.2 Results
5 Conclusion
References
Detection and Classification of Dental Caries Using Deep and Transfer Learning
1 Introduction
2 Background
2.1 VGG-16 Convolutional Neural Network Algorithm
3 Literature Survey
4 Motivation
4.1 Proposed Methodology
5 Results
6 Conclusion
References
Identification of Diabetic Retinopathy Using Robust Segmentation Through Mask RCNN
1 Introduction
1.1 Goals
2 Related Work
3 Methodology
3.1 Convolutions Neural Networks
3.2 Understanding Mask-RCNN
3.3 Model Comparison
4 Evaluation and Testing
4.1 Average Precision
4.2 Testing
5 Conclusion
References
Digital Watermarking Using Visual Cryptography
1 Introduction
2 Literature Survey
3 Proposed Method
3.1 Share Generation Module
3.2 Watermark Extraction Module
4 Result Analysis
4.1 Performance Parameters
5 Conclusion
References
Analytical Comparison of Deep Learning Frameworks for Semantic Segmentation with Pixel-Level Understanding
1 Introduction
1.1 Different Framework for Semantic Segmentation
2 Related Work
3 Methodology
3.1 The UNet Framework
3.2 The ResUNet Framework
3.3 The DeepLab V3+ Framework
3.4 The Gated SCNN Framework
4 Metrices of the Framework
4.1 Pixel Accuracy
4.2 Intersection Over Union
4.3 F1-score
5 Result and Analysis
6 Conclusion
References
Method-Level Code Smells Detection Using Machine Learning Models
1 Introduction
2 Literature
3 Proposed Research Plan
4 Outcomes
4.1 Result Comparison Among With and Without Applying FST
4.2 Result Comparison Among With and Without Applying SMOTE
5 Result Comparison with Other Related Work
6 Conclusion
References
Q-Learning-Based Node Scheduling for Energy Saving in WSN
1 Introduction
2 Proposed Work
2.1 System Model
2.2 Data Redundancy Measurement
2.3 Q-Learning-Based Node Scheduling
3 Performance Analysis
3.1 Simulation Environment
3.2 Simulation Metrics
3.3 Results and Discussion
4 Conclusion
References
Performance Investigation of SVM and Modified SVM Algorithms for Acute Health Diagnosis
1 Introduction
2 Methodology
2.1 Traditional SVM
2.2 FFA-SVM
2.3 BAT-SVM
3 Results and Discussion
4 Conclusion
References
An Efficient Multifactor Authentication System
1 Introduction
2 Literature Review
3 Experimental Setup
3.1 Module Description
3.2 System Architecture
3.3 Pseudo Code
4 Detailed Methodology
4.1 Text-Based Encryption—Twine
4.2 Algorithm for Round Keys (Fig. 3)
4.3 Algorithm for Encryption
4.4 Graphical Encryption
5 Results and Discussion
6 Conclusions and Future Scope
References
A Decision-Based Image Merging Technique for Server-Side Redundancy Reduction
1 Introduction
2 Proposed Work
3 Performance Analysis
3.1 Simulation Environment
3.2 Simulation Metric
3.3 Results and Discussion
4 Conclusion
References
Handling Class Imbalance Problem Using Support Vector Machine
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Discretization and Feature Selection
3.2 Finding Overlapping Region
3.3 Generate Minority Class Instances
4 Result and Discussion
5 Conclusion
References
Gender and Hand Identification Based on Dactyloscopy Using Deep Convolutional Neural Network
1 Introduction
2 Related Work
3 Proposed Method
4 Experimental Results and Performance Analysis
5 Conclusion
References
A CNN-Based Approach for Face Recognition Under Different Orientations
1 Introduction
2 Materials and Method
2.1 Olivetti Research Laboratory Dataset (ORL Dataset)
2.2 Georgia Tech Face Dataset
2.3 MepcoECE Dataset
2.4 Proposed CNN Architecture
3 Experiments and Discussion
3.1 Performance Analysis
3.2 Real-Time Testing
3.3 Performance of Proposed Method on Various Bench Mark Databases
4 Conclusion
References
A Deep Learning Approach for Detection of Disease in Plant Leaves
1 Introduction
2 Background
3 Objectives
4 Literature Review
4.1 Gaps in the Literature
5 System Architecture
5.1 Transfer Learning
5.2 Ensemble Voting Classifier
5.3 Multipath CNN InceptionV3
5.4 Flowchart of the Proposed Model
5.5 Proposed Multipath CNN InceptionV3
6 Descriptions of Components and Concepts
6.1 Data Description
6.2 Data Prepossessing
6.3 Custom EfficientB0
7 Results
7.1 Comparison of Accuracy
8 Conclusions
References
Label Consistency-based Modified Sequential Dictionary Learning-based Approach for PIR Sensor-based Detection of Human Movement Direction
1 Introduction
2 Brief Overview of Detection of Human Movement Direction Framework and General-Purpose Hardware–Software Combined IoT Module
3 LC-Based DL Approach in Combination with Recently Proposed MCAS-DL
3.1 LC-Based DL Algorithm
3.2 MCAS-DL Algorithm and MCAS-DL-Based LCK-SVD Algorithm
4 Classification Approach Based on LC-MCAS-DL
5 Performance Evaluation
6 Conclusion
References
Analyzing Lung Diseases Using CNN from Chest X-ray Images
1 Introduction
2 Related Work
3 Materials and Methods
3.1 Development of Dataset
3.2 Techniques for Data Augmentation
3.3 Implementation of Different Fine-Tuned CNN-Based Architectures
4 Experimental Results Analysis
4.1 Evaluation Parameters
4.2 Results
5 Conclusion
References
Stance Classification on FIFA World Cup Using Twitter Data
1 Introduction
2 Related Works
3 Proposed Method
3.1 Data Collection and Labeling
3.2 Preprocessing
3.3 Model Selection
4 Results and Analysis
4.1 Analysis on Benchmark Dataset
4.2 Analysis on Collected Dataset
5 Conclusion
References
Machine Learning-Based Phishing Detection in Heterogeneous Information Network
1 Introduction
2 Literature Survey
3 Proposed Method
3.1 HIN Construction
3.2 Feature Selection
3.3 Algorithms
3.4 Limitations
4 Experimental Result
4.1 Dataset
4.2 Evaluation Metrics
4.3 Results
5 Conclusion
References
Unified Feature Extraction for Handwritten and Natural Image Characters: A Case Study Using Bank Legal Check Amount and Vehicle License Plate Number Recognition
1 Introduction
2 Materials and Methods
2.1 IDRBT Dataset
2.2 Mercosur License Plate Dataset
2.3 Methodology
3 Experimental Results and Discussions
4 Conclusion
References
α and β-Testing of an Epileptic Seizure Detection Algorithm on Pre-ictal, Ictal, and Inter-ictal Part of EEG Signal
1 Introduction
2 Implementation Details
2.1 Seizure Detection Sensor Technology
2.2 Tools
2.3 Dataset
3 Design Methodology of the Proposed Work
3.1 Flowchart of Proposed Work
3.2 Algorithm(s)
4 Output and Result Analysis
4.1 Input Datasets
4.2 Output Analysis of Primary Dataset
4.3 Output Analysis of Secondary Dataset
4.4 Discussion
5 Conclusion and Future Scope of Work
References
SBGAN: Sequential Bengali Word Image Generation Model
1 Introduction
2 Related Works
3 Proposed Method
3.1 Pre-processing
3.2 Generation Network
3.3 Discrimination
3.4 SBGAN
4 Experiments and Results
5 Conclusion
References
A Transfer Learning Approach to Indian Currency Coin Recognition
1 Introduction
2 Materials and Methods
2.1 Indian Coin Denomination Dataset (ICDD)
2.2 Mepco Coin Dataset
2.3 Transfer Learning Approach
3 Results and Discussion
4 Conclusion
References
SDinIWTrack: A Novel Database for Training Self-driving Vehicles
1 Introduction
2 Brief Details of Existing Object Tracking Databases
2.1 PASCAL VOC Datasets (2005–2012) [1]
2.2 ImageNet: A Large-Scale Hierarchical Image Databases (ILSVRC) (2010–2017) [4]
2.3 Object Tracking Benchmark (OTB) (OTB100 [8], OTB 2013 [9], and OTB 2015 [10])
2.4 Common Objects in Context (COCO) (2014–2020) [11]
2.5 Large-Scale Single Object Tracking (LaSOT) [12]
2.6 UAV123 [13]
2.7 Amsterdam Library of Ordinary Videos for Tracking (ALOV++) Database [14]
2.8 Visual Object Tracking (VOT) (2013–2022) [15]
3 SDinIWTrack: A Novel Benchmark Database
4 Conclusion
References
Detection of Cipher Types Using Machine Learning Techniques
1 Introduction
2 Preliminaries
2.1 Artificial Neural Network (ANN)
2.2 Perceptron
2.3 Convolutional Neural Network (CNN)
2.4 Transformers
2.5 Attention Mechanism
3 Proposed Work
3.1 Dataset Generation
3.2 CNN Based Proposed Model
3.3 Motivation Behind Choosing Transformer Model
3.4 Transformer-Based Proposed Model
4 Experimental Results
4.1 Dataset-1
4.2 Dataset-2
5 Conclusion
References
An Overview of Segmentation Models for the Extraction of Brain Tissues from Magnetic Resonance Images
1 Introduction
2 Related Works in the Segmentation of MR Brain Images
2.1 Thresholding- and Clustering-Based Segmentation Models
2.2 Atlas-Based and Probability-Theory-Based Segmentation Models
2.3 Deep Learning-Based Segmentation Models
3 Expectation–Maximization (EM) Algorithm for the Segmentation of Brain Tissues
4 Simulation Results and Discussion
4.1 Comparative Analysis of the EM Algorithm with the Deep Learning Model
5 Conclusion
References
Detection of Cyberattacks in Cyber-Physical Systems Using Supervised Learning and Hypergraphs
1 Introduction
2 Related Works
3 HC-BSSA SVM: The Proposed Signature-Based Attack Detection Approach
4 Experimental Analysis
4.1 Power System Attack Dataset
4.2 Gas Pipeline Dataset
5 Results and Discussions
5.1 Impact of Hyperclique Property of Hypergraph
6 Conclusion
References
Classifying Fetal Health Using Neural Networks by Boosting Imbalanced Classes
1 Introduction
2 Literature Review
3 Methodology
3.1 Dataset
3.2 Implementation and Training
4 Result Analysis
5 Conclusion
References
Cryptonate: Crypto-Jacking Web Extension
1 Introduction
1.1 Cryptocurrency
1.2 Crypto-Mining
1.3 Crypto-Jacking
2 Literature Survey
2.1 Crimes Committed Using Crypto-Jacking
2.2 Background Analysis of Crypto-Jacking Prevalence
2.3 Detection of Crypto-Jacking
2.4 Monetary Benefits of Crypto-Jacking
3 Methodology
3.1 Static Approach
3.2 Dynamic Approach
4 Proposed Work
4.1 Static Approach
4.2 Dynamic Approach
5 Novelty
5.1 Comparative Analysis with the Existing Standard Approach
5.2 Comparative Analysis with Approach Proposed in [22]
6 Results and Discussion
7 Conclusion
References
Real-Time Mood-Based Music Auto-Play System from Facial Expressions
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Phase-1: Automated Mood-Based Play-List Generation
3.2 Phase-2: Automated Facial Emotion Recognition
4 Result Analysis
5 Conclusion
References
A Wrapper-based Feature Selection Approach Using Particle Swarm Optimization for Software Fault Prediction
1 Introduction
2 Related Work and Literature Review
3 Feature Selection
3.1 Particle Swarm Optimization
3.2 Binary Particle Swarm Optimization (BPSO)
3.3 Feature Selection Using Particle Swarm Optimization
4 Result Analysis
4.1 Dataset Used
4.2 Experimental Condition
4.3 Experimental Results
5 Conclusion
References
Sign Language to Sentence Interpreter Using Convolutional Neural Network in Real Time
1 Introduction
2 Related Works
3 Proposed Works
4 Implementation
4.1 Dataset Generation and Acquisition
4.2 Gesture Recognition and Classification
4.3 Sentence Formation for the Gestures
5 Result and Discussıon
6 Conclusion and Future Enhancements
References
A Comparative Study of Deep Learning-Based Face Recognition and Emotion Detection Techniques Using Social Media Customized Cartoon Post
1 Introduction
2 Contribution
3 Related Work
4 Dataset Preparation
5 Methodology
5.1 MobileNetV2
5.2 VGG-16
5.3 Resnet-50
5.4 Vision Transformer (ViT)
5.5 Haar Base ViT Fully Connected Face Recognition and Person Identification Along with Emotion Detection(HVFFR ED)
6 Experimental Analysis
7 Conclusion
References
A Hybrid GA-PSO based approach for Mining Top-Ranked Web Pages to Reorganize Websites
1 Introduction
2 Related Work
3 Prerequisite and Proposed Method
3.1 Genetic Algorithm
3.2 Particle Swarm Optimization
3.3 Problem Representation
3.4 Cost Function
3.5 Parameter Setting for PSO Algorithm
3.6 The Proposed Hybrid Approach Based on GA and PSO
4 Result and Discussion
5 Conclusion
References
Addressing Class Imbalance in Fake News Detection with Latent Space Resampling
1 Introduction
2 Literature Survey
3 Proposed Approach
3.1 Latent Representation of Textual Data
3.2 Resampling
3.3 Classification
4 Experimental Setup
4.1 Dataset Overview
4.2 Model Parameter Setup
5 Results and Discussion
6 Conclusion
References
MEDNet-Based Imbalanced Cataract Detection Using Ophthalmic Images
1 Introduction
2 Literature Survey
3 Proposed Method
3.1 Latent Vector Formation
3.2 Resampling Techniques
3.3 Oversampling Methods
3.4 Undersampling Methods
3.5 Hybrid Sampling Method
4 Result and Discussion
4.1 Experimental Setup
4.2 Comparison of Classifiers
4.3 Comparative Analysis with State of the Art
5 Conclusion
References
A Supervised Learning Algorithm for Disease Prediction Using Complex Network and Machine Learning
1 Introduction
2 Literature Review
3 Dataset
4 Proposed Method
4.1 Overview
4.2 Patient Network
4.3 Disease Prediction Model
5 Experimental Results
5.1 Results on Arrhythmia Dataset
5.2 Results from Other Datasets
6 Conclusion and Future Work
References
Deep Learning-Based Real-Time Hand Gesture Recognition Using Histogram of Oriented Gradient
1 Introduction
2 Literature Review
3 Proposed Method
4 Result and Discussion
4.1 Performance Evaluation
5 Conclusion
References
A Combined Approach of Color Correction and Homomorphic Filtering for Enhancing Underwater Images
1 Introduction
2 Materials and Methods
2.1 Color Balancing
2.2 Homomorphic Filter (HF)
2.3 Contrast Stretching
2.4 UIEB Dataset
3 Experiments and Discussions
3.1 Underwater Image Quality Evaluation Metric
4 Conclusion
References
An Effective Pipeline for Depth Image-Based Hand Gesture Recognition
1 Introduction
2 Related Work and Motivation
3 Depth Image Segmentation and Recognition
3.1 Hand Segmentation
3.2 Preprocessing
3.3 Feature Extraction
4 Results and Analysis
4.1 Dataset Outline
4.2 Recognition Performance
4.3 Comparison with State of the art
5 Conclusion and Future Work
References
A Coupled System for Simultaneous Image Despeckling and Segmentation
1 Introduction
2 Methodology
3 Results and Discussions
3.1 Segmentation Results for Natural Images
3.2 Segmentation Results for Ultrasound Images
4 Conclusion
References
An Improved Intrusion Detection System for the Internet of Medical Things Based on Deep Convolutional Neural Network
1 Introduction
2 Literature Study
3 Proposed Work
3.1 Proposed DCNN
4 Dataset Analysis and Simulation Setup
4.1 Overview of Dataset
4.2 Simulation Environment
5 Result Analysis
6 Conclusion
References
Deep Convolutional Neural Network for Skin Cancer Classification
1 Introduction
2 Literature Survey
3 Methodology
3.1 Proposed Methodology
4 Experimental Setup and Dataset Overview
4.1 Overview of Dataset
5 Analysis of Simulation Results
6 Conclusions
References
Prediction of Absenteeism at the Workplace: A Light Gradient Boosting Approach
1 Introduction
2 Literature Study
3 Experimental Setup
3.1 Dataset and Preprocessing
3.2 Environmental Setup
3.3 Performance Measures
3.4 Proposed Method
4 Result Analysis
4.1 Comparison of the Proposed Method with Previous Studies
5 Conclusion
References
Deep Neural Networks Scheme-Based Intelligent IDS System for Securing Internet of Vehicles
1 Introduction
2 Literature Survey
3 Proposed Work
3.1 Topology of DNN Model
3.2 Forward Propagation
3.3 Backpropagation
4 Dataset Analysis and Simulation Environment
4.1 Details of Dataset
4.2 Experimental Environment Setup
5 Result Analysis
6 Conclusion
References
Low-Memory Pedestrian Detection Using Binarized Neural Networks
1 Introduction
2 Literature Review
3 Motivation and Contribution
4 Related Prerequisites
4.1 Binary Quantization
4.2 Quantized Layer Operation
4.3 Straight Through Estimator
4.4 Binarized Version of Deep Network
5 Proposed Architecture
5.1 Detection Module
5.2 Localization Module
6 Experimental Setup and Results
6.1 Performance Metrics
6.2 Observations
7 Conclusion and Future Scope
References
A Mind-Driven Artificial Limb Movement Framework Using Long Short-Term Memory Algorithm
1 Introduction
2 Proposed Methodology
2.1 Introduction to EEG
2.2 Filtering Using Butterworth Filter
2.3 Feature Extraction Using Power Spectral Density
2.4 Classification Using Long Short-Term Memory
3 Experimental Results and Discussion
3.1 Experimental Framework
3.2 Performance Assessment
3.3 Comparison with Related Works
3.4 Real-Time Implementation of the Proposed Framework
4 Conclusion
References
Integration of Blockchain Technology with Renewable Energy for Sustainable Development: Issues, Challenges and Future Direction
1 Introduction
2 Sustainable Renewable Energy: An Overview
2.1 Social and Natural Impact of Renewal Energy
2.2 Technological Impact of Renewable Energy
2.3 Financial Force of Renewable Energy
2.4 Economic Force of Renewable Energy
3 Advantages and Disadvantages of Renewable Energy
4 The Integration of BT and RET
5 Critical Analysis
6 Conclusion, Suggestions and Future Direction of Research
References
Binary Classification of Kidney Glomeruli Using Deep Neural Networks
1 Introduction
2 Literature Review
3 Dataset Overview and Preprocessing
3.1 Data Acquisition
3.2 Preprocessing
4 Methodology Used
4.1 The CNN Models
4.2 Proposed Model
5 Result Analysis
6 Conclusion
References
Application of Modified Differential Evolution Technique for Automatic Generation Control Problem
1 Introduction
2 Literature Review and Proposed System
3 Controller Structure
4 Analytical Analysis
5 Conclusion
References
A Four-Valued Epistemic Logic for Metadata Modelling from Medical Articles on Pain Therapies
1 Introduction
2 A Four-Valued Epistemic Logic for Metadata Modelling
3 An Application Case
4 Conclusions and Future Work
References
Enhancing IoT Network Security with Light Gradient Boosting Machine and Gravitational Interaction Optimization for Malicious Access Detection
1 Introduction
2 Literature Survey
3 Proposed Approach
4 Result Analysis and Discussion
5 Conclusion
References
Anti-lock Braking System Using Monte Carlo Simulations
1 Introduction
2 Literature Review
2.1 The Stopping Distance
2.2 Stability
2.3 Steerability
2.4 Sensors for Wheel Speed
2.5 Unit of Electronic Control (ECU)
2.6 A Modulator of Hydraulic Pressure
3 Methodology
4 Modeling and Simulation, Results, and Discussion
4.1 Problem Formulation
4.2 Project Plan
4.3 Model Conceptualization
4.4 Data Collection
4.5 Model Translation
4.6 Monte Carlo Simulation
4.7 Verification
4.8 Validation
4.9 Experimental Design
4.10 Production Runs and Analysis
4.11 More Runs
4.12 Documentation and Reporting
4.13 Implementation
5 Conclusion
References
Artificial Intelligence Applied to the Geography: A Connectionist Approach
1 Introduction
2 The Territory as a Network: Its Origins in Myth
3 From System-Territory to Network-Territory
4 The Invisible ‘Neural Network’ of the Territory
4.1 Can the Territory Be Analysed with a Connectionist Approach?
4.2 Does the Territory in the Abstract Have an Intrinsic Memory and Intelligence?
4.3 Can the Territory as a System Learn?
4.4 Does the Territory Have Memory?
5 Discussion and Conclusion
References
Artificial Intelligence, Administrative Proceeding, Protection and Enhancement of Cultural Property
1 Introduction
2 Artificial Intelligence
3 Administrative Activity and Artificial Intelligence
4 Cultural Property
5 Artificial Intelligence in the Cultural Property Sector
6 Conclusion
References
Personalized Surgical Planning in Liver Surgery Using Virtual 3D-Models
1 Introduction
2 Virtual 3D-Models and Their Preliminaries
3 Personalized Surgical Planning in Liver Surgery
3.1 Preoperative Evaluation of the Patient
3.2 Future Liver Remnant
3.3 Anatomical Study
3.4 How to Increase the Remnant Liver Size
4 The Role of AI in Liver Surgery: Virtual 3D-Models
4.1 Intricate Anatomy
4.2 Identifying Biliary Branches and Vascular Structures to Dissect
4.3 Establishing the Correct Surgical Indication for Each Patient
4.4 Anomalies and Variants
4.5 Adequate FLR
5 Future Perspectives and Challenges
6 Conclusions
References
Impact of AI on Student’s Research and Writing Projects
1 Introduction
2 The UOC and Its e-Learning System
3 AI as a Cheating Tool
4 Answers to AI Impact
5 Conclusion
References
Spaces, Videogames and Artificial Intelligence: A Geographical Approach
1 Introduction
2 Geographies and AI
3 Video Games, Spaces and AI
4 Conclusion
References
S-Transform and Bayesian-Optimized Decision Tree-Based Islanding Detection Approach for Distributed Generation System
1 Introduction
2 Studied Test System
3 Methods
3.1 Feature Extraction Using ST
3.2 Bayesian Optimization (BO)
3.3 BO Decision Tree
4 Islanding Assessment Results and Discussion
4.1 Performance of the BODT During Training Phase (5-FCV)
4.2 Performance of the BODT During Testing Phase
5 Conclusion
References