Zobrazeno 1 - 10
of 309
pro vyhledávání: '"Jia-Ching Wang"'
Autor:
Jian-Hong Wang, Phuong Thi Le, Weng-Sheng Bee, Wenny Ramadha Putri, Ming-Hsiang Su, Kuo-Chen Li, Shih-Lun Chen, Ji-Long He, Tuan Pham, Yung-Hui Li, Jia-Ching Wang
Publikováno v:
Sensors, Vol 24, Iss 13, p 4351 (2024)
In recent years, embedded system technologies and products for sensor networks and wearable devices used for monitoring people’s activities and health have become the focus of the global IT industry. In order to enhance the speech recognition capab
Externí odkaz:
https://doaj.org/article/ebcb1afaf60145a58f6d018162f1d74f
Publikováno v:
APSIPA Transactions on Signal and Information Processing, Vol 13, Iss 5 (2024)
Externí odkaz:
https://doaj.org/article/759580947ef64ef6ac8a6f8ac5ba78f0
Publikováno v:
Journal of the Formosan Medical Association, Vol 122, Iss 3, Pp 267-275 (2023)
Background: There is a lack of published research on the impact of the first wave of the COVID-19 pandemic in Taiwan. We investigated the mortality risk factors among critically ill patients with COVID-19 in Taiwan during the initial wave. Furthermor
Externí odkaz:
https://doaj.org/article/a3695a60e9584b5780cda15731574b0c
Publikováno v:
IEEE Access, Vol 10, Pp 102048-102063 (2022)
Speech separation has been employed in important applications such as automatic speech, paralinguistics, speech recognition, hearing aids, and human-machine interactions. In recent years, deep neural networks have been widely used for speech and musi
Externí odkaz:
https://doaj.org/article/54697f9604a946f682ea78a48646944b
Autor:
Wen-Ping Lai, Jia-Ching Wang
Publikováno v:
APSIPA Transactions on Signal and Information Processing, Vol 12, Iss 2 (2023)
Externí odkaz:
https://doaj.org/article/f8e4798fbd834151a4c1b6ee67303347
Autor:
Phuong Thi Le, Bach-Tung Pham, Ching-Chun Chang, Yi-Chiung Hsu, Tzu-Chiang Tai, Yung-Hui Li, Jia-Ching Wang
Publikováno v:
Diagnostics, Vol 13, Iss 8, p 1460 (2023)
The need for a lightweight and reliable segmentation algorithm is critical in various biomedical image-prediction applications. However, the limited quantity of data presents a significant challenge for image segmentation. Additionally, low image qua
Externí odkaz:
https://doaj.org/article/b1723576abe940fb8d4342f89dec377a
Publikováno v:
Sensors, Vol 23, Iss 6, p 2993 (2023)
An electrocardiogram (ECG) is a basic and quick test for evaluating cardiac disorders and is crucial for remote patient monitoring equipment. An accurate ECG signal classification is critical for real-time measurement, analysis, archiving, and transm
Externí odkaz:
https://doaj.org/article/fca89b03631345208a611493ede31fd2
Publikováno v:
IEEE Access, Vol 9, Pp 105711-105723 (2021)
Knowledge distillation, which is a process of transferring complex knowledge learned by a heavy network, i.e., a teacher, to a lightweight network, i.e., a student, has emerged as an effective technique for compressing neural networks. To reduce the
Externí odkaz:
https://doaj.org/article/20ba579f6abd49d8b045f9e4cc4d1136
Publikováno v:
APSIPA Transactions on Signal and Information Processing, Vol 12, Iss 2 (2022)
Externí odkaz:
https://doaj.org/article/fbb03f24d1fb4c0299615d54c028c5d2
Publikováno v:
Sensors, Vol 22, Iss 14, p 5169 (2022)
Recently, self-supervised learning methods have been shown to be very powerful and efficient for yielding robust representation learning by maximizing the similarity across different augmented views in embedding vector space. However, the main challe
Externí odkaz:
https://doaj.org/article/bb733979520644e39e0579b66343bbaf