Intelligent Computing Systems: 4th International Symposium, ISICS 2022, Santiago, Chile, March 23–25, 2022, Proceedings (Communications in Computer and Information Science)

Preface
Organization
Contents
Capable of Classifying the Tuples with Wireless Attacks Detection Using Machine Learning
	1 Introduction
	2 Related Work
	3 Research Methodology
		3.1 Processing Method
		3.2 Preprocessing and Data Cleaning
		3.3 Feature Selection
		3.4 Classification
	4 Result and Discussion
	5 Conclusion and Future Work
	References
Fault Diagnosis of Combustion Engines in MTU 16VS4000-G81 Generator Sets Using Fuzzy Logic: An Approach to Normalize Specific Fuel Consumption
	1 Introduction
	2 Materials and Methods
		2.1 An Overview of the MTU 16V S4000 G-81 Combustion Engine
		2.2 Description of the Design Proposal
	3 Results and Discussion
	4 Conclusions
	References
DDoS Attack Preventing and Detection with the Artificial Intelligence Approach
	1 Introduction
	2 Related Work
	3 Research Methodology
		3.1 Preprocessing Data
		3.2 The Distribution of Target Features
		3.3 Data Analysis
	4 The Approach for Detection of the Threat in Unsupervised Method
	5 The Approach for Detection of the Threat in Supervised Method
		5.1 DL Model Structure
	6 Result
	7 Conclusion
	References
Iris Recognition Using Supervised Learning Based on Matching Features
	1 Introduction
	2 Methods
		2.1 Iris Image Database
		2.2 Image Pre-processing
		2.3 Feature Extraction
		2.4 Recognition
	3 Results
		3.1 Training and Test Set
		3.2 Experimental Results
	4 Conclusions
	References
Convolutional Neural Network for Segmentation of Single Cell Gel Electrophoresis Assay
	1 Introduction
	2 Methodology
		2.1 System Overview
		2.2 Image Database
		2.3 Segmentation
		2.4 Overlapped Comets Partition
		2.5 Feature Extraction
		2.6 Contour Detection
	3 Results
	4 Discussion
	5 Conclusion
	References
Evaluation of Human SCD Test by Digital Image Analysis
	1 Introduction
	2 Methodology
		2.1 Segmentation of Sperm Cell Core and Halo
		2.2 Feature Extraction
		2.3 Automated Classification
	3 Experiments
		3.1 Subjects
		3.2 Sperm Chromatin Dispersion Test (SCDt)
		3.3 Image Acquisition
		3.4 Ground Truth (GT) Dataset
	4 Results
		4.1 Cross-Validation – New Sample Case
	5 Discussion and Conclusion
	Supplementary Figures and Tables
	References
Machine Vision-Based Expert System for Automated Skin Cancer Detection
	1 Introduction
	2 Related Works
	3 Materials and Methods
		3.1 Dataset
		3.2 Dataset Pre-processing
		3.3 Feature Extraction
		3.4 Feature Fusion and Classification
	4 Experiments
		4.1 Experimental Setup
		4.2 Evaluation Details
		4.3 Evaluation Matrix
	5 Results and Discussions
		5.1 Performance of the Proposed System
		5.2 Comparison
	6 Conclusions and Future Works
	References
AI Used to Identify Car Accident Injury and Mortality Risk Factors in Dubai UAE
	1 Introduction
	2 Literature Review
	3 Methodology
	4 Results and Discussion
	5 Conclusion
	References
Toward Automatic Water Pollution Analysis: A Machine Learning Approach for Water-Quality Monitoring Through Pattern Classification of Water Crystallization
	1 Introduction
	2 Dataset Collection
		2.1 Procedure
		2.2 Used Concentrations
		2.3 Image Acquisition
	3 Methodology
		3.1 Challenges of Small Datasets: Overfitting
		3.2 Proposed Models
		3.3 Feature Extraction
		3.4 Feature Selection
		3.5 Machine Learning Classifiers
	4 Implementation and Results
		4.1 Experiment 1
		4.2 Experiment 2
	5 Conclusion and Future Remarks
	References
Evaluation of Human Pose Estimation in 3D with Monocular Camera for Clinical Application
	1 Introduction
		1.1 Joint Movement Assessment in Clinical and Research Context
		1.2 Joint Movement Assessment Alternatives: Human Pose Estimation with Monocular Camera
	2 Methods
		2.1 Train a State-of-the-Art Posture Estimation Method with the Human 3.6M Database
		2.2 Apply Clinical Context Metrics in the Human 3.6M Database
	3 Results
		3.1 Train a State-of-the-Art Posture Estimation Method with the Human 3.6M Database
		3.2 Apply Clinical Context Metrics in the Human 3.6M Database
	4 Discussion
	5 Conclusion
	References
On the Performance of Preconditioned Methods to Solve Lp-Norm Phase Unwrapping
	1 Introduction
	2 Methodology
		2.1 Numerical solution
	3 Numerical Experiments
	4 Discussion of Results and Conclusions
	References
Author Index