Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Joaquin Ordieres-Meré"'
Autor:
Guillermo Martín-Ávila, Alba Vieira-Campos, Sergio Labrador-Marcos, Xiaochen Zheng, Alejandro Méndez-Burgos, Israel Thuissard, Cristina Andreu-Vázquez, Joaquin Ordieres-Meré, Yolanda Aladro
Publikováno v:
Parkinsonismrelated disorders. 96
Introduction: There are some validated rating scales to assess severity of Essential tremor (ET), the most common cause of action tremor. Clinical evaluation through telematic consultations has been expanding in the last decade. Patients' self-assess
Autor:
Mercedes Grijalvo, Joaquín Ordieres-Meré, Javier Villalba-Díez, Yolanda Aladro-Benito, Guillermo Martín-Ávila, Arancha Simon-Hurtado, Carlos Vivaracho-Pascual
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e30001- (2024)
This study primarily aimed to explore the capabilities of digitalisation in the healthcare context, focusing on a specific disease. In this case, the study examined the potential of remote monitoring of gait to address the sensitivity of multiple scl
Externí odkaz:
https://doaj.org/article/80b301403d714e2c92db28d24f387f2d
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract This paper aims to promote a quantum framework that analyzes Industry 4.0 cyber-physical systems more efficiently than traditional simulations used to represent integrated systems. The paper proposes a novel configuration of distributed quan
Externí odkaz:
https://doaj.org/article/58682dbef8804c2bbbb605b48ec6b6ae
Publikováno v:
Animals, Vol 13, Iss 22, p 3557 (2023)
There is a consensus that future medicine will benefit from a comprehensive analysis of harmonized, interconnected, and interoperable health data. These data can originate from a variety of sources. In particular, data from veterinary diagnostics and
Externí odkaz:
https://doaj.org/article/7b644d27b1a546a7b957e12b47164ef2
Publikováno v:
IEEE Access, Vol 7, Pp 62545-62560 (2019)
Research on electoral events in conjunction with social media provides opportunities to describe an interesting phenomenon that can be analyzed using sentiment analysis techniques. The goal of the study is to analyze the support of political parties
Externí odkaz:
https://doaj.org/article/72b0aee5a1a4408688096f5147aa78ff
Autor:
Antonio Sánchez-Herguedas, Angel Mena-Nieto, Francisco Rodrigo-Muñoz, Javier Villalba-Díez, Joaquín Ordieres-Meré
Publikováno v:
Sensors, Vol 22, Iss 4, p 1432 (2022)
This paper exposes the existing problems for optimal industrial preventive maintenance intervals when decisions are made with right-censored data obtained from a network of sensors or other sources. A methodology based on the use of the z transform a
Externí odkaz:
https://doaj.org/article/0752a89e647e4f41bbae5116f243f785
Publikováno v:
Sensors, Vol 21, Iss 17, p 5928 (2021)
The aim of this work is to use IIoT technology and advanced data processing to promote integration strategies between these elements to achieve a better understanding of the processing of information and thus increase the integrability of the human
Externí odkaz:
https://doaj.org/article/82950e10497a4fca8aa7fbb3a4938c35
Publikováno v:
Sensors, Vol 20, Iss 11, p 3046 (2020)
Information-intensive transformation is vital to realize the Industry 4.0 paradigm, where processes, systems, and people are in a connected environment. Current factories must combine different sources of knowledge with different technological layers
Externí odkaz:
https://doaj.org/article/59e46f854f534981becb77143a231a50
Autor:
Daniel Schmidt, Javier Villalba Diez, Joaquín Ordieres-Meré, Roman Gevers, Joerg Schwiep, Martin Molina
Publikováno v:
Sensors, Vol 20, Iss 10, p 2860 (2020)
Achieving the shift towards Industry 4.0 is only feasible through the active integration of the shopfloor into the transformation process. Several shopfloor management (SM) systems can aid this conversion. They form two major factions. The first incl
Externí odkaz:
https://doaj.org/article/cc351dc2dc33402596533e7c82b2f02c
Publikováno v:
Sensors, Vol 20, Iss 7, p 2011 (2020)
Recent advances in technology have empowered the widespread application of cyber–physical systems in manufacturing and fostered the Industry 4.0 paradigm. In the factories of the future, it is possible that all items, including operators, will be e
Externí odkaz:
https://doaj.org/article/9f7d2de34df64f78a40ac5521c2fdfc4