Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) : 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.

Format:

Book

Author/Creator:

García, Marcelo V.

Contributor:

Gordón-Gallegos, Carlos.

Salazar-Ramírez, Asier.

Núñez, Carlos.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 775

Language:

English

Subjects (All):

Computational intelligence.

Industrial engineering.

Production engineering.

Artificial intelligence.

Computational Intelligence.

Industrial and Production Engineering.

Artificial Intelligence.

Local Subjects:

Computational Intelligence.

Industrial and Production Engineering.

Artificial Intelligence.

Physical Description:

1 online resource (933 pages)

Edition:

1st ed. 2024.

Place of Publication:

New York : Springer Dec. 2024

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

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.

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Garcia, Marcelo V. Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023)

ISBN:

9783031692284

OCLC:

1490380544