Zobrazeno 1 - 10
of 165
pro vyhledávání: '"Luis Montesinos"'
Autor:
Javier Maldonado-Romo, Juana Isabel Méndez, Mario Rojas, Luis Montesinos, Pedro Ponce, Arturo Molina
Publikováno v:
International Journal of Sustainable Engineering, Vol 17, Iss 1, Pp 1-11 (2024)
ABSTRACTSmartphones are indispensable tools for daily tasks; nevertheless, their short lifespan of about two years contributes to a disproportionate increase in environmental waste. Although current initiatives explore reusing specific smartphone com
Externí odkaz:
https://doaj.org/article/73fe5476c32849d1a9497b2cc3593d0a
Autor:
Pedro Ponce, Brian Anthony, Russel Bradley, Javier Maldonado-Romo, Juana Isabel Méndez, Luis Montesinos, Arturo Molina
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-24 (2024)
Abstract The growing expansion of the manufacturing sector, particularly in Mexico, has revealed a spectrum of nearshoring opportunities yet is paralleled by a discernible void in educational tools for various stakeholders, such as engineers, student
Externí odkaz:
https://doaj.org/article/cc25af049e8d48bf85af7f1ca8f7e30c
Autor:
Alejandro Santos-Díaz, Luis Montesinos, María Barrera-Esparza, Maria del Mar Perez-Desentis, David E. Salinas-Navarro
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Bioinstrumentation is essential to biomedical engineering (BME) undergraduate education and professional practice. Several strategies have been suggested to provide BME students with hands-on experiences throughout the curriculum,
Externí odkaz:
https://doaj.org/article/2fc0a625d55f47318a09da3ceb3dccdc
Publikováno v:
BMC Medical Education, Vol 23, Iss 1, Pp 1-13 (2023)
Abstract Background The growing demand for more efficient, timely, and safer health services, together with insufficient resources, put unprecedented pressure on health systems worldwide. This challenge has motivated the application of principles and
Externí odkaz:
https://doaj.org/article/f345cb2d3cc540ea8c9ecd007a6a0acd
Autor:
Pedro Ponce, Mariel Alfaro-Ponce, Edgar Omar López-Caudana, Troy McDaniel, Luis Montesinos, Jesús Ricardo López-Gutiérrez, Esther Lugo-González
Publikováno v:
Frontiers in Robotics and AI, Vol 10 (2023)
Externí odkaz:
https://doaj.org/article/3060ee1783ea4d9eaf22faab5ac5abaa
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 926-935 (2023)
The prevalence and impact of balance impairments and falls in older adults have motivated several studies on the characterization of human balance. This study aimed to determine the ability of recurrence quantification analysis (RQA) measures to char
Externí odkaz:
https://doaj.org/article/1de10a1535274cb19ec0b8e04b8b933f
Autor:
David Ernesto Salinas-Navarro, Eliseo Vilalta-Perdomo, Rosario Michel-Villarreal, Luis Montesinos
Publikováno v:
Education Sciences, Vol 14, Iss 1, p 83 (2024)
The emergence of generative artificial intelligence (GenAI) requires innovative educational environments to leverage this technology effectively to address concerns like academic integrity, plagiarism, and others. Additionally, higher education needs
Externí odkaz:
https://doaj.org/article/62277920a4bf4db0bdb942374218571a
Publikováno v:
Diabetology & Metabolic Syndrome, Vol 13, Iss 1, Pp 1-22 (2021)
Abstract Diabetes Mellitus is a severe, chronic disease that occurs when blood glucose levels rise above certain limits. Over the last years, machine and deep learning techniques have been used to predict diabetes and its complications. However, rese
Externí odkaz:
https://doaj.org/article/73a771127f5046bbb97b85fafbddc991
Publikováno v:
Education Sciences, Vol 12, Iss 9, p 598 (2022)
Biomedical engineering (BME) is one of the fastest-growing engineering fields worldwide. BME professionals are extensively employed in the health technology and healthcare industries. Hence, their education must prepare them to face the challenge of
Externí odkaz:
https://doaj.org/article/18804e7e47c44e94ad011789144f9038
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 15, Iss 1, Pp 1-15 (2018)
Abstract Background Approximate entropy (ApEn) and sample entropy (SampEn) have been previously used to quantify the regularity in centre of pressure (COP) time-series in different experimental groups and/or conditions. ApEn and SampEn are very sensi
Externí odkaz:
https://doaj.org/article/6eae7318718047f6a32fcf3d56cbca4e