Zobrazeno 1 - 10
of 157
pro vyhledávání: '"Haoyuan Chen"'
Autor:
Ao Chen, Chen Li, Md Mamunur Rahaman, Yudong Yao, Haoyuan Chen, Hechen Yang, Peng Zhao, Weiming Hu, Wanli Liu, Shuojia Zou, Ning Xu, Marcin Grzegorzek
Publikováno v:
Intelligent Medicine, Vol 4, Iss 2, Pp 114-127 (2024)
Background With the gradual increase of infertility in the world, among which male sperm problems are the main factor for infertility, more and more couples are using computer-assisted sperm analysis (CASA) to assist in the analysis and treatment of
Externí odkaz:
https://doaj.org/article/6191c547b3f0488197cfef6b17eb2048
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
IntroductionOnline question-and-answer (Q&A) platforms are frequently replete with extensive human resource support. This study proposes a novel methodology of a customized large language model (LLM) called Chaotic LLM-based Educational Q&A System (C
Externí odkaz:
https://doaj.org/article/f3bbe310321c4344b9427f4ca0663f5a
Publikováno v:
Mathematics, Vol 12, Iss 19, p 2996 (2024)
Traditional U-shape segmentation models can achieve excellent performance with an elegant structure. However, the single-layer decoder structure of U-Net or SwinUnet is too “thin” to exploit enough information, resulting in large semantic differe
Externí odkaz:
https://doaj.org/article/339e6bc425ef4ce3ac512ec85b5eabeb
Publikováno v:
Mathematics, Vol 12, Iss 19, p 3061 (2024)
In the realm of human–robot interaction, the integration of visual and verbal cues has become increasingly significant. This paper focuses on the challenges and advancements in referring image segmentation (RIS), a task that involves segmenting ima
Externí odkaz:
https://doaj.org/article/20104e5d4c894b458265c2010f543bfc
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 1000-1010 (2023)
With the development of offshore wind power generation, there is an urgent demand for high-power wind turbines. Superconducting machines with high power density and efficiency are one of the solutions for wind turbines of 10 MW and above. This paper
Externí odkaz:
https://doaj.org/article/5081e0a2295442d7b1f7df0e132ba8cc
Autor:
Yuchao Zheng, Chen Li, Xiaomin Zhou, Haoyuan Chen, Hao Xu, Yixin Li, Haiqing Zhang, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek
Publikováno v:
Intelligent Medicine, Vol 3, Iss 2, Pp 115-128 (2023)
Background: Breast cancer has the highest prevalence among all cancers in women globally. The classification of histopathological images in the diagnosis of breast cancers is an area of clinical concern. In computer-aided diagnosis, most traditional
Externí odkaz:
https://doaj.org/article/3c71b4cdc6924e419561a9995981e645
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 12, Pp 13732-13746 (2022)
Disease prediction by using a variety of healthcare data to assist doctors in disease diagnosis is becoming a more and more important research topic recently. This paper proposes a disease prediction model that fuses multiple types of encoded represe
Externí odkaz:
https://doaj.org/article/42ee376d736541e19412be47bce0f3da
Autor:
Liyu Shi, Xiaoyan Li, Weiming Hu, Haoyuan Chen, Jing Chen, Zizhen Fan, Minghe Gao, Yujie Jing, Guotao Lu, Deguo Ma, Zhiyu Ma, Qingtao Meng, Dechao Tang, Hongzan Sun, Marcin Grzegorzek, Shouliang Qi, Yueyang Teng, Chen Li
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
Background and purposeColorectal cancer is a common fatal malignancy, the fourth most common cancer in men, and the third most common cancer in women worldwide. Timely detection of cancer in its early stages is essential for treating the disease. Cur
Externí odkaz:
https://doaj.org/article/9c96110c25f1483fb5bb8b1ebdfb1bc8
Autor:
Weiming Hu, Haoyuan Chen, Wanli Liu, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek, Chen Li
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
IntroductionGastric cancer is the fifth most common cancer in the world. At the same time, it is also the fourth most deadly cancer. Early detection of cancer exists as a guide for the treatment of gastric cancer. Nowadays, computer technology has ad
Externí odkaz:
https://doaj.org/article/2de292fca7014de884819e1e35842a22
Autor:
Haoyuan Chen
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
Catalytic conversion of the greenhouse gas CO2 into value-added chemicals and fuels is highly beneficial to the environment, the economy, and the global energy supply. Metal–organic frameworks (MOFs) are promising catalysts for this purpose due to
Externí odkaz:
https://doaj.org/article/d78e698be7444e8bad17f2acda6cfea3