Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Tongning Wu"'
Autor:
Kun Li, Sachiko Kodera, Dragan Poljak, Yinliang Diao, Kensuke Sasaki, Shuai Zhang, Ming Yao, Ante Kapetanovic, Congsheng Li, Tongning Wu, Thorsten Liebig, Winfried Simon, Akimasa Hirata
Publikováno v:
IEEE Access, Vol 12, Pp 15379-15389 (2024)
International guidelines and standards for human protection from electromagnetic fields have been revised recently. The epithelial/absorbed power density (APD) has been used as a new physical quantity for local exposure to frequencies > 6 GHz, relate
Externí odkaz:
https://doaj.org/article/d8fd397662654a94973c4bc2029997c7
Publikováno v:
Sensors, Vol 24, Iss 17, p 5646 (2024)
This study introduces RTEEMF (Real-Time Evaluation Electromagnetic Field)-PhoneAnts, a novel Deep Learning (DL) framework for the efficient evaluation of mobile phone antenna performance, addressing the time-consuming nature of traditional full-wave
Externí odkaz:
https://doaj.org/article/975a61fbcbe8444793e8c88c71e54ef5
Dynamic Gesture Recognition Based on FMCW Millimeter Wave Radar: Review of Methodologies and Results
Publikováno v:
Sensors, Vol 23, Iss 17, p 7478 (2023)
As a convenient and natural way of human-computer interaction, gesture recognition technology has broad research and application prospects in many fields, such as intelligent perception and virtual reality. This paper summarized the relevant literatu
Externí odkaz:
https://doaj.org/article/4a276125948f440293b529b531333ca6
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2022)
ObjectiveWe aimed to reduce the complexity of the 52-channel functional near-infrared spectroscopy (fNIRS) system to facilitate its usage in discriminating schizophrenia during a verbal fluency task (VFT).MethodsOxygenated hemoglobin signals obtained
Externí odkaz:
https://doaj.org/article/f6df1ff9d223496fa586c56e03cf91fb
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
Externí odkaz:
https://doaj.org/article/570011102c9d44a6a996812ffae9ff20
Publikováno v:
IEEE Access, Vol 8, Pp 146838-146846 (2020)
Image segmentation plays a vital role in the medical diagnosis and intervention field. The segmentation methods can be classified as fully automated, semiautomated or manual. Among them, manual segmentation can best improve the quality of the results
Externí odkaz:
https://doaj.org/article/bb3fa599dfe74753ae988dd5b96a7d78
Publikováno v:
Frontiers in Public Health, Vol 9 (2022)
Neurophysiological effect of human exposure to radiofrequency signals has attracted considerable attention, which was claimed to have an association with a series of clinical symptoms. A few investigations have been conducted on alteration of brain f
Externí odkaz:
https://doaj.org/article/0b63a4502b0448e2bdfd96d37503c63b
Publikováno v:
Frontiers in Neuroinformatics, Vol 14 (2020)
Functional near-infrared spectroscopy (fNIRS) has been widely employed in the objective diagnosis of patients with schizophrenia during a verbal fluency task (VFT). Most of the available methods depended on the time-domain features extracted from the
Externí odkaz:
https://doaj.org/article/acb742ec07da47c1b80a28a89cb46753
Publikováno v:
Applied Sciences, Vol 10, Iss 11, p 3794 (2020)
Liver and liver tumor segmentation based on abdomen computed tomography (CT) images is an essential step in computer-assisted clinical interventions. However, liver and tumor segmentation remains the difficult issue in the medical image processing fi
Externí odkaz:
https://doaj.org/article/b4bd2c1130e546888a0a967fe4859a4c
Publikováno v:
Technologies, Vol 7, Iss 1, p 27 (2019)
The manuscript presents a study that evaluates satisfaction with loading processes during human interactions with mobile devices. This is an innovative study to investigate human perception in terms of loading time for critical scenarios using a real
Externí odkaz:
https://doaj.org/article/0366e51672764220b0092f214feb80f9