Pattern Recognition and Artificial Intelligence: 5th Mediterranean Conference, MedPRAI 2021, Istanbul, Turkey, December 17–18, 2021, Proceedings ... in Computer and Information Science, 1543)

✍ Scribed by Chawki Djeddi (editor), Imran Siddiqi (editor), Akhtar Jamil (editor), Alaa Ali Hameed (editor), İsmail Kucuk (editor)

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 388
• Category: Library

✦ Synopsis

This book constitutes the refereed proceedings of the 5th Mediterranean Conference on Pattern Recognition and Artificial Intelligence, MedPRAI 2021, held in Istanbul, Turkey, in December 2021.​ Due to the COVID-19 pandemic, MedPRAI 2021 was held fully online.
The 28 revised full papers and 4 short papers presented were thoroughly reviewed and selected from 72 submissions. The papers are covering the topics of recent advancements in different areas of pattern recognition and artificial intelligence, such as statistical, structural and syntactic pattern recognition, machine learning, data mining, neural networks, computer vision, multimedia systems, information retrieval, etc.

✦ Table of Contents

Preface
Organization
Contents
Computer Vision and Image Processing
Human Action Recognition Using Attention Mechanism and Gaze Information
1 Introduction
2 Related Works
2.1 HOI Detection
2.2 Gaze Following
3 The Proposed Idea
3.1 The Basic Model
3.2 The Proposed Structure
3.3 Gaze Heatmap and the Improved iCAN Module
3.4 Depth-Wise Separable Convolution
4 Experimental Results
4.1 Dataset
4.2 Evaluation Metrics
4.3 Implementation Details
4.4 Quantitative Evaluation
4.5 Qualitative Evaluation
4.6 Ablation Study
5 Conclusion
References
Face Recognition Under Partial Occlusion: A Detection and Exclusion of Occluded Face Regions Approach
1 Introduction
2 Literature Review
3 The Proposed Framework
3.1 Training Phase
3.2 Testing Phase
4 Experiments
4.1 Implementation Details
4.2 Evaluation Metrics
4.3 Non-occluded Region Retrieval Using Skin Detection
4.4 Non-occluded Region Retrieval Using Haar Cascade Classifiers
4.5 Effect of the Number of Images in Learning a Class
5 Conclusion
References
Color Vision Deficiency and Live Recoloring
1 Introduction
2 Background and Related Work
3 Proposed System
4 Experiments and Results
5 Conclusion
References
Real Time Handling Occlusion in Augmented Reality Based on Photogrammetry
1 Introduction
2 Related Work
2.1 Contour-Based Methods
2.2 Depth-Based Method
2.3 3D Reconstruction Based Method
3 System Overview
3.1 Photogrammertic 3D Modeling
3.2 AR Application Development with Handling Occlusion
4 Results and Discussion
4.1 Experimental Results
4.2 Discussion
5 Conclusion
References
Colour Image Encryption Based on Fisher-Yates Algorithm and Chaotic Maps
1 Introduction
2 Materials and Methods
2.1 2D Logistic-Tent Map
2.2 Fisher-Yates Algorithm
2.3 Diffusion Using 2D LTM
2.4 Proposed Method for Encrypting Colour Image
3 Results and Discussion
3.1 Statistical Attack Analysis
4 Conclusion
References
Robust SLAM System by Incorporating UWB Positioning and Landmark Localization
1 Introduction
2 Related Work
3 Proposed Approach
4 Experiments
5 Conclusion
References
Intelligent Systems for Medical Diagnosis
Deep Learning for Liver Disease Prediction
1 Introduction
2 Related Works
3 Materials and Methods
3.1 Datasets
3.2 Preprocessing
3.3 Model Building
4 Experimental Results
4.1 Model Evaluation
5 Results and Discussion
5.1 Experiments on BUPA Dataset
5.2 Experiments on ILPD Dataset
6 Conclusion
References
Pre-trained Backbones Effect on Nuclei Segmentation Performance
1 Introduction
2 Background
3 Methods
3.1 VGG16
3.2 MobileNet
3.3 EfficientNet B3
4 Experiments and Results
4.1 Triple Negative Breast Cancer Dataset
4.2 Pre-processing
4.3 Methodology
5 Conclusion
References
Organ Detection in US Scanning by Non-expert Operator
1 Introduction
2 Principle of the Method
2.1 Detection of Seeds
2.2 Connectivity of Seeds with Nearby Frames
2.3 Point Detection
2.4 Coherence of the Contour
2.5 Study Population
2.6 Experimental Protocol
3 Results
4 Discussion
4.1 Limitations
5 Conclusion
References
Deep Transfer Learning Techniques for Automated Classification of Histological Childhood Medulloblastoma Images
1 Introduction
2 Related Works
3 Material and Methods
3.1 Childhood MB Dataset
3.2 Convolutional Neural Networks (CNN)
3.3 Transfer Learning
3.4 Conducted Comparative Study
3.5 Classification Process
4 Experiments and Results
5 Conclusion
References
A New Medical Image Encryption Algorithm for IoMT Applications
1 Introduction
2 Materials and Methods
2.1 Bit-level Permutation
2.2 2D SIM Model
2.3 Diffusion Using 2D SIM
2.4 Proposed Encryption Algorithm
3 Results and Discussion
3.1 Key Sensitivity Analysis
3.2 Key-Space Analysis
3.3 Histogram Based Analysis
3.4 Information Entropy Analysis
3.5 UACI and NPCR Analysis
4 Conclusion
References
Feature Relevance Analysis for Handwriting Based Identification of Parkinson's Disease
1 Introduction
2 Related Work
3 Methodology
3.1 Dataset
3.2 Input
3.3 Feature Extraction
3.4 Feature Relevance
3.5 Classification and Decision Fusion
4 Experimental Results and Analysis
4.1 Results of Offline and Online Features
4.2 Impact of Feature Relevance on Task-wise Accuracies
4.3 Impact of Feature Fusion Versus Decision Fusion
5 Conclusion
References
.26em plus .1em minus .1emEEG Based Major Depressive Disorder (MDD) Detection Using Machine Learning
1 Introduction
2 Material and Methods
2.1 Participants
2.2 Data Acquisition and Preprocessing
2.3 New Feature Generation
3 Proposed Machine Learning Methods
3.1 K-Nearest Neighbors
3.2 Decision Tree
3.3 Support Vector Machine
3.4 Naïve Bayes
4 Proposed Deep Learning Method
5 Validation of Classification Models
6 Results
7 Discussion
8 Conclusion
References
Document Analysis and Understanding
Islamophobic Hate Speech Detection from Electronic Media Using Deep Learning
1 Introduction
2 Related Work
3 Methods
3.1 Dataset
3.2 Data Pre-processing
3.3 Feature Extraction and Classification
4 Experimental Results and Analysis
5 Conclusion
References
A Semi-automatic Document Screening System for Computer Science Systematic Reviews
1 Introduction
2 Related Work
2.1 Research Issues
2.2 Research Contributions
3 Proposed System
3.1 Adopted Features
3.2 Classification Process
4 Experimentation
5 Results and Analysis
6 Conclusion
References
Handwriting Based Personality Traits Identification Using Adaptive Boosting and Textural Features
1 Introduction
2 Data Corpus
3 Proposed Method
3.1 Feature Extraction
3.2 Combined Classification and Experimentation
4 Results and Discussion
5 Conclusions and Future Works
References
An Automated Approach for Analysing Students Feedback Using Sentiment Analysis Techniques
1 Introduction
2 Related Work
3 Methodology
4 Results
4.1 Evaluation Metrics
4.2 Polarity Prediction Using Textblob and MonkeyLearn
4.3 Emotion Identification Using MonkeyLearn
5 Conclusion
References
Keyword Spotting in Modern Handwritten Documents Using oBIFs
1 Introduction
2 Related Work
3 Proposed Methods
3.1 Feature Extraction
3.2 Word Matching
4 Experimental Results
5 Conclusions and Future Works
References
Artificial Intelligence and Intelligent Systems
Real-Time Detection of Traffic Anomalies Near Roundabouts
1 Introduction
2 Literature Review
3 Proposed Methodology
3.1 Foreground Object Detection
3.2 Roundabout Detection
3.3 Traffic Anomalies Near the Roundabout
4 Results and Discussions
4.1 Experimental Setup
4.2 Datasets Used
4.3 Experimental Results
5 Conclusions
References
A Two-Stage Framework for Diverse Traffic Light Recognition Based on Individual Signal Detection
1 Introduction
2 Related Works
3 Method
3.1 Light Candidate Detection
3.2 Traffic Light Classification
3.3 Dataset
4 Experiments
5 Conclusion
References
Enhancing Vehicle Networks Performance by Cache-Aided Non-Orthogonal Multiple Access (CA-NOMA)
1 Introduction
2 Related Works
2.1 Caching
2.2 Non-Orthogonal Multiple Access (NOMA)
2.3 Cache-Aided NOMA
3 System Model
3.1 Caching
3.2 Optimal Power Allocation
4 Simulation Result
5 Conclusion and Future Work
References
Performance Analysis of Hard Decision and Soft Decision Algorithms Over In VivoRadio Channel
1 Introduction
1.1 An Overview for In-VivoRadio Channel
1.2 In VivoCommunication System
1.3 Viterbi Algorithm
2 Soft and Hard Decisions
2.1 Hard Decision Decoding
2.2 Soft Viterbi Decoding
3 Simulations and Results
4 Conclusion
References
The Thermal Modeling for Underground Cable Based on ANN Prediction
1 Introduction
2 A Geometric Model for Underground Cable Used
3 Modeling of Thermal Resistance in the Internal and External Environments
4 A Mathematical Model for Underground Cables
5 Proposed of ANN-Based Underground Cable Rating
6 Results and Discussion
7 Conclusion
References
Layer-Wise Relevance Propagation for Smart-Grid Stability Prediction
1 Introduction
2 Related Works
2.1 Big Data Analytics in Smart Grids and Smart Grid Stability
2.2 XAI and Interpretability
3 XAI for Smart-Grid Stability Prediction
3.1 Optimized Deep Models
3.2 Layer-Wise Relevance Propagation
4 Experimental Analysis
4.1 Building Dataset
4.2 Experimental Setup and Experiment
5 Conclusion and Future Works
References
Abalone Age Prediction Using Machine Learning
1 Introduction
2 Materials and Methodology
2.1 Dataset
2.2 Classification
3 Experimental Results
4 Conclusion
References
A Novel Optimized Method for Feature Selection Using Non-linear Kernel-Free Twin Quadratic Surface Support Vector Machine
1 Introduction
2 Prerequisites
2.1 LTQSSVM
2.2 LTQSSVM-FS
3 Proposed LTQSSVM-OFS Model
4 Data, Experiments, and Results
4.1 Datasets
4.2 Description of Experiments
5 Conclusions
References
Recognition Algorithm Models Based on the Selection of Two-Dimensional Preference Threshold Functions
1 Introduction
2 Statement of the Problem
3 Method of Solution
4 Performance Estimate of the Proposed RA Model
4.1 Experiments
4.2 Results
4.3 Discussion
5 Conclusion
References
Using Keytyping as a Biomarker for Cognitive Decline Diagnostics: The Convolutional Neural Network Based Approach
1 Introduction
2 Related Works
3 Methodology
3.1 Continouos Wavelet Transform
3.2 Convolutional Neural Network (CNN)
3.3 Performance Evaluation
4 Data and Results
4.1 Dataset and Data Analysis
4.2 Experimental Settings
4.3 Results
4.4 Comparison with Related Work
5 Conclusion
References
Author Index