Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Shoujiang Xu"'
Publikováno v:
CyTA - Journal of Food, Vol 22, Iss 1 (2024)
ABSTRACTAccurate identification of the taste of compounds has helped in the screening and development of new sweeteners. This study proposes a deep learning model for sweetener identification based on transfer learning and attention mechanism. The Sq
Externí odkaz:
https://doaj.org/article/b8e5fa0bd721413fb66829596c2096a4
Publikováno v:
Sensors, Vol 19, Iss 10, p 2307 (2019)
Human activity recognition (HAR) has gained lots of attention in recent years due to its high demand in different domains. In this paper, a novel HAR system based on a cascade ensemble learning (CELearning) model is proposed. Each layer of the propos
Externí odkaz:
https://doaj.org/article/e66ba4a71e0943588010dd22e36af23f
Publikováno v:
Health information science and systems. 10(1)
Vascular age (VA) is the direct index to reflect vascular aging, so it plays a particular role in public health. How to obtain VA conveniently and cheaply has always been a research hotspot. This study proposes a new method to evaluate VA with wrist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d19a23c13e558bd9f083b809b953273a
https://pubmed.ncbi.nlm.nih.gov/35529250
https://pubmed.ncbi.nlm.nih.gov/35529250
Publikováno v:
International Journal of Environmental Research and Public Health, Vol 17, Iss 7208, p 7208 (2020)
International Journal of Environmental Research and Public Health
Volume 17
Issue 19
International Journal of Environmental Research and Public Health
Volume 17
Issue 19
Falls are a major public health concern in today&rsquo
s aging society. Virtual reality (VR) technology is a promising method for reducing fall risk. However, the absence of representations of the user&rsquo
s body in a VR environment lesse
s aging society. Virtual reality (VR) technology is a promising method for reducing fall risk. However, the absence of representations of the user&rsquo
s body in a VR environment lesse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7189e385647fe6640168e90f02d26030
https://www.mdpi.com/1660-4601/17/19/7208
https://www.mdpi.com/1660-4601/17/19/7208
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 10
Sensors, Vol 19, Iss 10, p 2307 (2019)
Sensors
Volume 19
Issue 10
Sensors, Vol 19, Iss 10, p 2307 (2019)
Human activity recognition (HAR) has gained lots of attention in recent years due to its high demand in different domains. In this paper, a novel HAR system based on a cascade ensemble learning (CELearning) model is proposed. Each layer of the propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4abdad1e73bd1b55e44bac91d71f0b8f
http://europepmc.org/articles/PMC6566970
http://europepmc.org/articles/PMC6566970
In this paper, a new method for robot path rolling planning in a static and unknown environment based on grid modelling is proposed. In an unknown scene, a local navigation optimization path for the robot is generated intelligently by ant colony opti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9841cb40d25da15ceada06e20508a5c3
Autor:
Zhigeng Pan, Shoujiang Xu
Publikováno v:
International Journal of Medical Informatics. 144:104283
Background Parkinson's disease (PD) is a neurodegenerative disease of the elderly, which leads to patients’ motor and non-motor disabilities and affects patients’ quality of daily life. Timely and effective detection of PD is a key step to medica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0addebb1400216aa78667e6034354b5f
https://doi.org/10.1016/j.ijmedinf.2020.104283
https://doi.org/10.1016/j.ijmedinf.2020.104283
A Cascade Ensemble Learning Model for Parkinson’s Disease Diagnosis Using Handwritten Sensor Signals
Publikováno v:
Journal of Physics: Conference Series. 1631:012168
Computer-aided diagnosis of Parkinson’s disease (PD) has gained lots of attention recently, which is mainly performed with machine learning methods using PD patients’ clinical manifestations, such as freezing gait, distorted writing, and abnormal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec9cad5065431e06ef35792715909a2d
https://doi.org/10.1088/1742-6596/1631/1/012168
https://doi.org/10.1088/1742-6596/1631/1/012168
Publikováno v:
SKIMA
Due to the increasing threat of terrorism, it has become more and more important to detect abnormal behaviour in public areas. In this paper, we introduce a system to identify pedestrians with abnormal movement trajectories in a scene using a data-dr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f34bc7eceb74c5b9c29a07ee7e8ca4a
https://doi.org/10.1109/skima.2017.8294092
https://doi.org/10.1109/skima.2017.8294092
Publikováno v:
Chemistry - An Asian Journal. 5:919-924
In this study, we describe the use of the combination of eletrografting poly(N-mercaptoethyl acrylamide) and Au nanoparticles in the construction of high-performance biosensors. The poly(N-mercaptoethyl acrylamide) was electrografted onto the glassy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c15899794fb3269665ffd73aedc7af20
https://doi.org/10.1002/asia.200900490
https://doi.org/10.1002/asia.200900490