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Table of Contents
Intro
Preface
Organization
General Chairs
Organizing Committee
Steering Committee
Publication Chair
Program Chairs
Life Sciences
Earth and Construction Sciences
Energy and Mechanics
Electrical and Electronic
Computer Science
Human and Social Science
Security and Defense
Economic and Administrative Sciences
Social
Local Committee
Research Department
Sede Latacunga
Program Committee
Organizing Institutions
Contents
Artificial intelligence, Communications, Security and Cryptography, and Software Engineering
Prediction of Parkinson's Disease Severity Based on Gait Signals Using a Neural Network and the Fast Fourier Transform
1 Introduction
2 Materials and Methods
2.1 Dataset Description
2.2 Pre-processing of Data
2.3 Information Extraction (Features)
2.4 Model Structure of the Proposed Artificial Neural Network
2.5 Performance of the Proposed Model
3 Results and Discussion
3.1 Evaluation of the Backpropagation Algorithm
3.2 Prediction of Parkinson's Stages
3.3 Comparison with Similar Studies
3.4 Study Limitation
4 Conclusions and Future Perspectives
3.1 First Clustering
3.2 Second Clustering
3.3 Final Results
4 Conclusions and Recommendations
References
ToraxIA: Virtual Assistant for Radiologists Based on Deep Learning from Chest X-Ray
1 Introduction
2 Methodology
2.1 Data Set
2.2 Annotation Process
2.3 Deep Learning Model
3 Experimental Results
3.1 Library Performance
3.2 Deep Learning Model Results
3.3 COVID-19 Dataset
3.4 Toraxia™Output
4 Discussion
5 Conclusion and Future Work
References
Classification of Andean Chocho (Lupinus Mutabilis Sweet) by Shape and Color Using Artificial Vision
1 Introduction
2 Materials and Methods
2.1 Artificial Vision System
2.2 Image Segmentation
2.3 Feature Extraction
2.4 System Tests
3 Results and Discussion
4 Conclusions
References
Deep Learning for Edge Computing: A Survey
1 Introduction
2 Materials and Methods
2.1 Materials
2.2 Methods
3 Results
3.1 Impact of Deep Learning on Edge Computing
3.2 Deep Learning Algorithm Summary
3.3 Edge Computing Summary
4 Discussion
5 Future Work and Conclusion.
Preface
Organization
General Chairs
Organizing Committee
Steering Committee
Publication Chair
Program Chairs
Life Sciences
Earth and Construction Sciences
Energy and Mechanics
Electrical and Electronic
Computer Science
Human and Social Science
Security and Defense
Economic and Administrative Sciences
Social
Local Committee
Research Department
Sede Latacunga
Program Committee
Organizing Institutions
Contents
Artificial intelligence, Communications, Security and Cryptography, and Software Engineering
Prediction of Parkinson's Disease Severity Based on Gait Signals Using a Neural Network and the Fast Fourier Transform
1 Introduction
2 Materials and Methods
2.1 Dataset Description
2.2 Pre-processing of Data
2.3 Information Extraction (Features)
2.4 Model Structure of the Proposed Artificial Neural Network
2.5 Performance of the Proposed Model
3 Results and Discussion
3.1 Evaluation of the Backpropagation Algorithm
3.2 Prediction of Parkinson's Stages
3.3 Comparison with Similar Studies
3.4 Study Limitation
4 Conclusions and Future Perspectives
3.1 First Clustering
3.2 Second Clustering
3.3 Final Results
4 Conclusions and Recommendations
References
ToraxIA: Virtual Assistant for Radiologists Based on Deep Learning from Chest X-Ray
1 Introduction
2 Methodology
2.1 Data Set
2.2 Annotation Process
2.3 Deep Learning Model
3 Experimental Results
3.1 Library Performance
3.2 Deep Learning Model Results
3.3 COVID-19 Dataset
3.4 Toraxia™Output
4 Discussion
5 Conclusion and Future Work
References
Classification of Andean Chocho (Lupinus Mutabilis Sweet) by Shape and Color Using Artificial Vision
1 Introduction
2 Materials and Methods
2.1 Artificial Vision System
2.2 Image Segmentation
2.3 Feature Extraction
2.4 System Tests
3 Results and Discussion
4 Conclusions
References
Deep Learning for Edge Computing: A Survey
1 Introduction
2 Materials and Methods
2.1 Materials
2.2 Methods
3 Results
3.1 Impact of Deep Learning on Edge Computing
3.2 Deep Learning Algorithm Summary
3.3 Edge Computing Summary
4 Discussion
5 Future Work and Conclusion.