Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) [electronic resource] : Volume 1: Advances in Computer Sciences - Exploring Innovations at the Intersection of Computing Technologies / edited by Marcelo V. Garcia, Carlos Gordón-Gallegos, Asier Salazar-Ramírez, Carlos Nuñez.

Colaborador(es): Garcia, Marcelo V [editor.] | Gordón-Gallegos, Carlos [editor.] | Salazar-Ramírez, Asier [editor.] | Nuñez, Carlos [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Networks and Systems ; 775Editor: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XLI, 906 p. 464 illus., 407 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031692284Tema(s): Computational intelligence | Industrial engineering | Production engineering | Artificial intelligence | Computational Intelligence | Industrial and Production Engineering | Artificial IntelligenceFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTexto
Contenidos:
1. Data Warehouse for Monitoring the Academic Performance of Students from University -- 2. An Ontology in Civil Engineering to Modelling the Experimental Knowledge -- 3. Benchmark of PID neural speed controllers for permanent magnet dc motors on an artificial intelligence embedded system -- 4. Topological Analysis Techniques for Improving Neural Network Performance in COVID-19 Detection Using Persistent Homology -- 5. Early Detection of Breast Cancer Using Forward Backpropagation Artificial Neural Network -- 6. Machine Learning Algorithm Selection for Predictive Maintenance in the Oil Industry -- 7Automatic detection of Coronaphobia in Twitter: Study case of republic of Panama -- 8. Twitter Sentiment Analysis: a Case Study from Yachay Tech University -- 9. Use of Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) for disease detection in tomato crops: A systematic mapping -- 10. Hate Speech Detection in the 2022 Ecuador Strike using the K-Nearest Neighbors Algorithm -- 11. YOLO-V7 and YOLO-V8 Benchmark for Firearm Detection and Deep Learning Model Retraining -- 12. Development And Comparative Study Of Neuronal Control With Remote Monitoring For A Level Plant -- 13. Optimal Latent Variables Number for the Reconstruction of Time Series with PLSR -- 14. Artificial Intelligence for Hair Color Rendering -- 15. Thermography for the Diagnosis of Incipient Faults in High-Efficiency Motors -- 16. Enhancing Photovoltaic System Efficiency through Neural Network-Based Tracking for Optimal Power Extraction -- 17. Dimensionality Reduction Techniques in Code Quality Evaluation -- 18. Advancing Healthcare: Early Tuberculosis Detection in Chest X-rays through select Convolutional Neural Networks -- 19. Anatomical Footprint of the Impulse Control Disorders in Parkinson's Disease: a Convolutional Vision Transformers Approach -- 20. Ecuadorian Sign Language Detection in Real Time -- 21. Detection of coronavirus disease (COVID-19) through X-Ray images using K-Nearest Neighbor classifier based on DBSCAN -- 22. Applications of supervised algorithms for sales prediction in small business Santo Domingo, Ecuador -- 23. Feasibility of wireless monitoring devices based on vital signs.
En: Springer Nature eBookResumen: This volume serves as both a record of current knowledge and a testament to the ongoing commitment to excellence in research within these fields. It stands as an invaluable resource for researchers, practitioners, and students who are seeking to expand their understanding and engage with the forefront of technological innovation. This book is an essential resource for researchers, practitioners, and students, offering insights and guidance for future innovations in computing technologies.
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1. Data Warehouse for Monitoring the Academic Performance of Students from University -- 2. An Ontology in Civil Engineering to Modelling the Experimental Knowledge -- 3. Benchmark of PID neural speed controllers for permanent magnet dc motors on an artificial intelligence embedded system -- 4. Topological Analysis Techniques for Improving Neural Network Performance in COVID-19 Detection Using Persistent Homology -- 5. Early Detection of Breast Cancer Using Forward Backpropagation Artificial Neural Network -- 6. Machine Learning Algorithm Selection for Predictive Maintenance in the Oil Industry -- 7Automatic detection of Coronaphobia in Twitter: Study case of republic of Panama -- 8. Twitter Sentiment Analysis: a Case Study from Yachay Tech University -- 9. Use of Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) for disease detection in tomato crops: A systematic mapping -- 10. Hate Speech Detection in the 2022 Ecuador Strike using the K-Nearest Neighbors Algorithm -- 11. YOLO-V7 and YOLO-V8 Benchmark for Firearm Detection and Deep Learning Model Retraining -- 12. Development And Comparative Study Of Neuronal Control With Remote Monitoring For A Level Plant -- 13. Optimal Latent Variables Number for the Reconstruction of Time Series with PLSR -- 14. Artificial Intelligence for Hair Color Rendering -- 15. Thermography for the Diagnosis of Incipient Faults in High-Efficiency Motors -- 16. Enhancing Photovoltaic System Efficiency through Neural Network-Based Tracking for Optimal Power Extraction -- 17. Dimensionality Reduction Techniques in Code Quality Evaluation -- 18. Advancing Healthcare: Early Tuberculosis Detection in Chest X-rays through select Convolutional Neural Networks -- 19. Anatomical Footprint of the Impulse Control Disorders in Parkinson's Disease: a Convolutional Vision Transformers Approach -- 20. Ecuadorian Sign Language Detection in Real Time -- 21. Detection of coronavirus disease (COVID-19) through X-Ray images using K-Nearest Neighbor classifier based on DBSCAN -- 22. Applications of supervised algorithms for sales prediction in small business Santo Domingo, Ecuador -- 23. Feasibility of wireless monitoring devices based on vital signs.

This volume serves as both a record of current knowledge and a testament to the ongoing commitment to excellence in research within these fields. It stands as an invaluable resource for researchers, practitioners, and students who are seeking to expand their understanding and engage with the forefront of technological innovation. This book is an essential resource for researchers, practitioners, and students, offering insights and guidance for future innovations in computing technologies.

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