Zobrazeno 1 - 10
of 351
pro vyhledávání: '"Chin‐Ling Chen"'
Autor:
Chia‐Yu Kuo, Ming‐Ju Tsai, Jen‐Yu Hung, Mei‐Hsuan Lee, Kuan‐Li Wu, Yu‐Chen Tsai, Cheng‐Hao Chuang, Chung‐Wen Huang, Chin‐Ling Chen, Chih‐Jen Yang, Inn‐Wen Chong
Publikováno v:
Kaohsiung Journal of Medical Sciences, Vol 40, Iss 5, Pp 467-476 (2024)
Abstract Combining epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) with an anti‐ vascular endothelial growth factor (VEGF) agent, bevacizumab or ramucirumab, is indicated for advanced lung adenocarcinoma harboring EGFR mutat
Externí odkaz:
https://doaj.org/article/ccc67b4d159f480788789dc5c0166cb1
Autor:
Chin-Ling Chen, Cheng-Yang Tu, Yong-Yuan Deng, Der-Chen Huang, Ling-Chun Liu, Hsing-Chung Chen
Publikováno v:
Frontiers in Sustainable Cities, Vol 6 (2024)
With the progress of the times, cars have become an important means of transportation in our lives. However, with new cars of all kinds, road safety issues still cannot be effectively improved. While countries have responded by enforcing traffic laws
Externí odkaz:
https://doaj.org/article/2be20191540d40aab1daa3ea92b4e2c4
Publikováno v:
IEEE Access, Vol 12, Pp 36924-36941 (2024)
In the charity sector, fundraising and transparency have long been key issues. Charity NFT (Non-Fungible Token) auctions, an emerging charity fundraising model integrating blockchain and NFT concepts, bring opportunities and challenges. Blockchain pr
Externí odkaz:
https://doaj.org/article/ef336a9a98e842febb416acc98cfc990
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2023, Iss 1, Pp 1-4 (2023)
Externí odkaz:
https://doaj.org/article/8ddd325fd5164c3785df3803f807f72a
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0302234 (2024)
It is challenging to detect arbitrary-shape text accurately and effectively in natural scenes. While many methods have been implemented for arbitrary-shape text detection, most cannot achieve real-time detection or meet practical needs. In this work,
Externí odkaz:
https://doaj.org/article/138b33f0cccc4a24874cc734574fcf6d
Publikováno v:
Sensors, Vol 23, Iss 23, p 9577 (2023)
Due to frequent traffic accidents around the world, people often take out car insurance to mitigate their losses and receive compensation in a traffic accident. However, in the existing car insurance claims process, there are problems such as insuran
Externí odkaz:
https://doaj.org/article/5ff3aed00dc64716a02b11d289befcc3
Autor:
Falak Khan, Muhammad A. Siddiqui, Salma Imtiaz, Shoaib A. Shaikh, Chin-Ling Chen, Chih-Ming Wu
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
Mental and emotional issues are the top-level concerns of public health worldwide. These issues surged during Coronavirus (COVID-19) pandemic due to varied medical, social, and personal reasons. The social determinants highlighted in the literature m
Externí odkaz:
https://doaj.org/article/83817fb1c00345f59bbdbb851bb9d5fa
Autor:
Chin-Ling Chen, Jian Lin Lai
Publikováno v:
Sensors, Vol 23, Iss 13, p 6139 (2023)
Distributed Denial of Service (DDoS) attacks pose a significant threat to internet and cloud security. Our study utilizes a Poisson distribution model to efficiently detect DDoS attacks with a computational complexity of O(n). Unlike Machine Learning
Externí odkaz:
https://doaj.org/article/bbea1186e19148cf8fd98328bfc4d1da
Autor:
Tahir Mohammad Ali, Ali Nawaz, Attique Ur Rehman, Rana Zeeshan Ahmad, Abdul Rehman Javed, Thippa Reddy Gadekallu, Chin-Ling Chen, Chih-Ming Wu
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
Magnetic resonance imaging is the most generally utilized imaging methodology that permits radiologists to look inside the cerebrum using radio waves and magnets for tumor identification. However, it is tedious and complex to identify the tumorous an
Externí odkaz:
https://doaj.org/article/53705147049b4d0c98f93f4da3e6d176
Autor:
Hariprasath Manoharan, Shitharth Selvarajan, Ayman Yafoz, Hassan A. Alterazi, Mueen Uddin, Chin-Ling Chen, Chih-Ming Wu
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
The production, testing, and processing of signals without any interpretation is a crucial task with time scale periods in today's biological applications. As a result, the proposed work attempts to use a deep learning model to handle difficulties th
Externí odkaz:
https://doaj.org/article/f0154cb1c3e845a580e2dc19c359398d