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Listar por autor "Viciano Tudela, Sandra"

Mostrando ítems 1-9 de 9

A Low-Cost Virtual Sensor for Underwater pH Monitoring in Coastal Waters

Viciano-Tudela, Sandra; Parra, Lorena; Sendra, Sandra; Lloret, Jaime (MDPI AG, 2023-04)

[EN] In coastal water monitoring, abrupt pH changes might indicate different pollution sources. Existing sensors for pH monitoring in coastal waters at low cost are mainly based on a glass membrane and a reference electrode. ...
Development of a Low-Cost Pulse Oximeter for Taking Medical-Scientific Parameters to Monitor Remote Patients

Viciano-Tudela, Sandra; Sendra, Sandra; Lloret, Jaime; Tomás Gironés, Jesús; Belda-Ramirez, Jose (MDPI AG, 2022-09-26)

[EN] The development of low-cost systems for measuring medical parameters is currently an important issue since this type of system ensures that any sector of the population can access these technologies. Likewise, pandemic ...
Diseño de un sistema de monitorización de la calidad del agua para zonas costeras

Soto Pérez, Maria (Universitat Politècnica de València, 2022-10-19)

[ES] Este trabajo final de Grado pretende diseñar y desarrollar un sistema de monitorización de la calidad del agua de las zonas costeras. En concreto, se centrará en la detección de contaminantes presentes en el agua ...
Employment of MQ gas sensors for the classification of Cistus ladanifer essential oils

Díaz-Blasco, Francisco Javier; Viciano-Tudela, Sandra; Parra, Lorena; Ahmad, Ali; Chaloupková, Veronika; Bados, Raquel; Esteban Pascual, Luis Saul; Mediavilla, Irene; Sendra, Sandra; Lloret, Jaime (Elsevier, 2024-11)

[EN] The chemical composition of essential oils (EOs) from Cistus ladanifer has a huge variability throughout the year, impacting the oil quality. Nowadays, EO analytic chemistry techniques, which are expensive and destroy ...
Evaluation of Suitability of Low-Cost Gas Sensors for Monitoring Indoor and Outdoor Urban Areas

Wang, Jianchen; Viciano-Tudela, Sandra; Parra, Lorena; Lacuesta, Raquel; Lloret, Jaime (Institute of Electrical and Electronics Engineers, 2023-09-15)

[EN] Air pollution is a significant environmental risk to health; reducing pollution levels could help minimize related diseases, such as cancer, asthma, and stroke. Gas sensors, such as the MQ family, can be used to ...
Incorrect Facemask-Wearing Detection Using Convolutional Neural Networks with Transfer Learning

Tomás Gironés, Jesús; REGO MAÑEZ, ALBERT; Viciano-Tudela, Sandra; Lloret, Jaime (MDPI AG, 2021-08)

[EN] The COVID-19 pandemic has been a worldwide catastrophe. Its impact, not only economically, but also socially and in terms of human lives, was unexpected. Each of the many mechanisms to fight the contagiousness of the ...
Low-Cost Microcontroller-Based Multiparametric Probe for Coastal Area Monitoring

Parra, Lorena; Viciano-Tudela, Sandra; Carrasco, David; Sendra, Sandra; Lloret, Jaime (MDPI AG, 2023-02)

[EN] The monitoring of the coastal environment is a crucial factor in ensuring its proper management. Nevertheless, existing monitoring technologies are limited due to their cost, temporal resolution, and maintenance needs. ...
Proposal of a Gas Sensor-Based Device for Detecting Adulteration in Essential Oil of Cistus ladanifer

Viciano-Tudela, Sandra; Sendra, Sandra; Parra, Lorena; Jimenez, Jose M.; Lloret, Jaime (MDPI AG, 2023-02)

[EN] Essential oils are a valuable raw material for several industries. Low-cost methods cannot detect its adulteration; specialised equipment is required. In this paper, we proposed the use of gas sensors to detect the ...
Proposal of a New System for Essential Oil Classification Based on Low-Cost Gas Sensor and Machine Learning Techniques

Viciano-Tudela, Sandra; Parra, Lorena; Navarro-García, Paula; Sendra, Sandra; Lloret, Jaime (MDPI AG, 2023-07)

[EN] Essential oils are valuable in various industries, but their easy adulteration can cause adverse health effects. Electronic nasal sensors offer a solution for adulteration detection. This article proposes a new system ...