| Description |
1 online resource (503 pages) |
| Series |
Advances in Intelligent Systems and Computing ; v. 1326 |
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Advances in intelligent systems and computing ; 1326.
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| 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 |
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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 |
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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 |
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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 |
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5 Future Work and Conclusion |
| Summary |
This book constitutes the proceedings of the XV Multidisciplinary International Congress on Science and Technology (CIT 2020), held in Quito, Ecuador, on 2630 October 2020, proudly organized by Universidad de las Fuerzas Armadas ESPE in collaboration with GDEON. CIT is an international event with a multidisciplinary approach that promotes the dissemination of advances in Science and Technology research through the presentation of keynote conferences. In CIT, theoretical, technical, or application works that are research products are presented to discuss and debate ideas, experiences, and challenges. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Artificial Intelligence Computational Modeling Data Communications Defense Engineering Innovation, Technology, and Society Managing Technology & Sustained Innovation, and Business Development Modern Vehicle Technology Security and Cryptography Software Engineering |
| Bibliography |
References-An Analysis of Deep Learning Architectures for Cancer Diagnosis-1 Introduction-2 Materials and Methods-2.1 Materials-2.2 Methods-3 Results-3.1 Impact of Deep Learning in Cancer Diagnosis-3.2 Training the CNN Network-3.3 Testing the CNN Network-4 Discussion-5 Future Work and Conclusions-References-Identifying Similar Groups of Countries According to the Impact of Corona Virus (COVID-19) by a Two-Layer Clustering Method-1 Introduction-2 Materials and Methods-2.1 Dataset-2.2 Data Clustering-3 Results and Discussion |
| Notes |
Includes author index |
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Print version record |
| Subject |
Artificial intelligence -- Congresses
|
|
Artificial intelligence
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Botto-Tobar, Miguel
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Cruz, Henry
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Díaz Cadena, Angela
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| ISBN |
9783030680800 |
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3030680800 |
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