Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Pouya Soltani Zarrin"'
Publikováno v:
IEEE Access, Vol 8, Pp 168053-168060 (2020)
Chronic Obstructive Pulmonary Disease (COPD) is a life-threatening lung disease and a major cause of morbidity and mortality worldwide. Although a curative therapy has yet to be found, permanent monitoring of biomarkers that reflect the disease progr
Externí odkaz:
https://doaj.org/article/c50140f9fe884b36ad71a2dc7a855767
Publikováno v:
Micromachines, Vol 11, Iss 5, p 501 (2020)
This paper presents a dielectrophoretic system for the immobilization and separation of live and dead cells. Dielectrophoresis (DEP) is a promising and efficient investigation technique for the development of novel lab-on-a-chip devices, which charac
Externí odkaz:
https://doaj.org/article/0a5e57ae014745e5bd1da92ee04964bf
Publikováno v:
Healthcare, Vol 7, Iss 1, p 11 (2019)
Chronic Obstructive Pulmonary Disease (COPD) is a life-threatening lung disease affecting millions of people worldwide. Although the majority of patients with objective COPD go undiagnosed until the late stages of their disease, recent studies sugges
Externí odkaz:
https://doaj.org/article/2e8db10764af46b28bea099b11dfc5dd
Autor:
Pouya Soltani Zarrin, Farabi Ibne Jamal, Subhajit Guha, Jan Wessel, Dietmar Kissinger, Christian Wenger
Publikováno v:
Biosensors, Vol 8, Iss 3, p 78 (2018)
The viscosity variation of sputum is a common symptom of the progression of Chronic Obstructive Pulmonary Disease (COPD). Since the hydration of the sputum defines its viscosity level, dielectric sensors could be used for the characterization of sput
Externí odkaz:
https://doaj.org/article/202bccf44c9e41dd835fa3759be99d4a
Publikováno v:
IECON
Considering the recent transition towards renewable energy sources such as off-shore wind turbines, solar farms, and hydroelectric power plants, Structural Health Monitoring (SHM) of these novel infrastructures using Machine Learning (ML) methods has
Autor:
Eduardo Perez, Christian Wenger, Hermann Kohlstedt, Mamathamba Kalishettyhalli Mahadevaiah, Finn Zahari, Pouya Soltani Zarrin
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
Chronic Obstructive Pulmonary Disease (COPD) is a life-threatening lung disease, affecting millions of people worldwide. Implementation of Machine Learning (ML) techniques is crucial for the effective management of COPD in home-care environments. How
Publikováno v:
RIUMA. Repositorio Institucional de la Universidad de Málaga
instname
instname
Machine Learning (ML) and Artificial Intelligence (AI) have a dependency on data sources to train, improve and make predictions through their algorithms. With the digital revolution and current paradigms like the Internet of Things, this information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b239a0e657e61b1dfbeab35fcff8c064
http://arxiv.org/abs/2006.04105
http://arxiv.org/abs/2006.04105
Publikováno v:
Bioinformatics and Biomedical Engineering ISBN: 9783030453848
IWBBIO
International Work-Conference on Bioinformatics and Biomedical Engineering
International Work-Conference on Bioinformatics and Biomedical Engineering, 12108, pp.389-394, 2020, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-45385-5_34⟩
IWBBIO
International Work-Conference on Bioinformatics and Biomedical Engineering
International Work-Conference on Bioinformatics and Biomedical Engineering, 12108, pp.389-394, 2020, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-45385-5_34⟩
Monitoring brain activities of Drug-Resistant Epileptic (DRE) patients is crucial for the effective management of the chronic epilepsy. Implementation of machine learning tools for analyzing electrical signals acquired from the cerebral cortex of DRE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59f9abd15747b655d0857bcea3946db6
https://doi.org/10.1007/978-3-030-45385-5_34
https://doi.org/10.1007/978-3-030-45385-5_34
Autor:
Christian Wenger, Pouya Soltani Zarrin
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2020 ISBN: 9783030616083
ICANN (1)
ICANN (1)
This paper investigates the practicality of applying brain-inspired Few-Shot Learning (FSL) algorithms for addressing shortcomings of Machine Learning (ML) methods in medicine with limited data availability. As a proof of concept, the application of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de50072679c8029771e100186d7dd37a
https://doi.org/10.1007/978-3-030-61609-0_34
https://doi.org/10.1007/978-3-030-61609-0_34
Autor:
Ran Xu, Ana Luisa Trejos, Pouya Soltani Zarrin, Rajni V. Patel, Abelardo Escoto, Michael D. Naish
Publikováno v:
Mechanical and Materials Engineering Publications
Minimally invasive surgery (MIS) has been limited from its inception by insufficient haptic feedback to surgeons. To address this, various force sensing methods have been developed that can provide information about tool-tissue interaction forces. Ho