Zobrazeno 1 - 10
of 100
pro vyhledávání: '"JinMing Du"'
Autor:
Jinming Du, Ben Kei Daniel
Publikováno v:
Computers and Education: Artificial Intelligence, Vol 6, Iss , Pp 100230- (2024)
Artificial intelligence chatbots recently caused a stir in the world by promising to transform education systems in a multitude of ways. To analyze pertinent publications in the SSCI journals, a systematic review was conducted for this study, which i
Externí odkaz:
https://doaj.org/article/5f150e4969c54c4da2f787d87e04edd0
Autor:
Jinming Du, Antonie Alm
Publikováno v:
Education Sciences, Vol 14, Iss 7, p 726 (2024)
This qualitative study explores the perceptions of English language students regarding the use of the generative AI tool, ChatGPT, as a supportive tool for English for Academic Purposes (EAP) students in a New Zealand university context. Using self-d
Externí odkaz:
https://doaj.org/article/fa719f4812af488cb59c12ba4130f2ff
Publikováno v:
Remote Sensing, Vol 15, Iss 20, p 4909 (2023)
The infrared small target detection technology has a wide range of applications in maritime defense warning and maritime border reconnaissance, especially in the maritime and sky scenes for detecting potential terrorist attacks and monitoring maritim
Externí odkaz:
https://doaj.org/article/dbd84a584ea048ad9729400a854af1fe
Publikováno v:
AI Open, Vol 3, Iss , Pp 208-212 (2022)
Legal information extraction requires identifying and classifying legal elements from specific legal documents. Considering that information extraction is mainly regarded as the first step in natural language understanding, the quality of legal infor
Externí odkaz:
https://doaj.org/article/47927d55b0b84807b1fa6846180c4ede
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3214 (2023)
To address the phenomenon of many small and hard-to-detect objects in drone images, this study proposes an improved algorithm based on the YOLOv7-tiny model. The proposed algorithm assigns anchor boxes according to the aspect ratio of ground truth bo
Externí odkaz:
https://doaj.org/article/f121629bbaf74dbc89be9dad208ca3be
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Social interaction outcomes can depend on the type of information individuals possess and how it is used in decision-making. Here, Zhou et al. find that self-evaluation based decision-making rules lead to evolutionary outcomes that are robust to diff
Externí odkaz:
https://doaj.org/article/916c67f606c844419f1bc40b18cec746
Publikováno v:
Systems, Vol 11, Iss 3, p 141 (2023)
High-tech small- and medium-sized enterprises (SMEs) play an important role in the high-quality economic development in a country. Nevertheless, due to the difficulties banks or other financial institutions have in accurately assessing their credit l
Externí odkaz:
https://doaj.org/article/152426497f374505b20aec5d75af7892
Publikováno v:
IET Image Processing, Vol 15, Iss 1, Pp 1-15 (2021)
Abstract For the extremely small size and low signal‐to‐clutter ratio, target detection in infrared images is still a considerable challenge. Specifically, it is very difficult to detect the point targets because there is no texture and shape inf
Externí odkaz:
https://doaj.org/article/57be66c16fb74ca1a1f7126b9a881809
Autor:
Jinming Du, Huanzhang Lu, Luping Zhang, Moufa Hu, Yingjie Deng, Xinglin Shen, Dongyang Li, Yu Zhang
Publikováno v:
Remote Sensing, Vol 14, Iss 20, p 5072 (2022)
The detection and tracking of small targets under low signal-to-clutter ratio (SCR) has been a challenging task for infrared search and track (IRST) systems. Track-before-detect (TBD) is a widely-known algorithm which can solve this problem. However,
Externí odkaz:
https://doaj.org/article/6a4fd8fa82334e7c9c28139f8074deac
Autor:
Jinming Du
Publikováno v:
IEEE Access, Vol 7, Pp 124295-124308 (2019)
In this paper, we propose an evolutionary game theoretic approach to coordinated control of multi-agent systems. In this mathematical framework, agents play games with their neighbors on the network, and update strategies through local interaction. I
Externí odkaz:
https://doaj.org/article/2375983033404c1ba4fb664acd32205d