Hybrid Artificial Intelligent Systems

17th International Conference, HAIS 2022, Salamanca, Spain, September 5-7, 2022, Proceedings
Herausgeber: García Bringas, Pablo; Psaila, Giuseppe; Martínez Álvarez, Francisco; Herrero, Álvaro; de la Cal, Enrique A.; Troncoso Lora, Alicia; Villar Flecha, José Ramón; Martínez de Pisón, Francisco Javier; Pérez García, Hilde; Corchado, Emilio; Quintián, Héctor

• Broschiertes Buch

Produktbeschreibung

A Comparison of Machine Learning Techniques for the Detection of Type-4 PhotoParoxysmal Responses in EEG Signals.- Smartwatch sleep-tracking services precision evaluation using supervised domain adaptation.- Tracking and Classification of Features in the Bio-inspired Layered Networks.- Frailty related survival risks at short and middle term of older adults admitted to hospital.- On the analysis of a real dataset of COVID-19 patients in Alava.- Indoor access control system through symptomatic examination using IoT technology, fog computing and cloud computing.- Measuring the quality information of sources of cybersecurity by multi-criteria decision making techniques.- A case of study with the Clustering R library to measure the quality of cluster algorithms.

Produktdetails

• Verlag: Springer / Springer International Publishing AG
• 1st edition 2022
• Seitenzahl: 536
• Erscheinungstermin: 12. September 2022
• Englisch
• Abmessung: 235mm x 155mm x 29mm
• Gewicht: 803g
• ISBN-13: 9783031154706
• ISBN-10: 3031154703
• Artikelnr.: 64545663

Inhaltsangabe

A Comparison of Machine Learning Techniques for the Detection of Type
4 PhotoParoxysmal Responses in EEG Signals.
 Smartwatch sleep
tracking services precision evaluation using supervised domain adaptation.
 Tracking and Classification of Features in the Bio
inspired Layered Networks.
 Frailty related survival risks at short and middle term of older adults admitted to hospital.
 On the analysis of a real dataset of COVID
19 patients in Alava.
 Indoor access control system through symptomatic examination using IoT technology, fog computing and cloud computing.
 Measuring the quality information of sources of cybersecurity by multi
criteria decision making techniques.
 A case of study with the Clustering R library to measure the quality of cluster algorithms.