Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Vladimir Y. Mariano"'
Autor:
Yingyun Wang, Vladimir Y. Mariano
Publikováno v:
IEEE Access, Vol 12, Pp 120711-120719 (2024)
In recent years, the YOLOv8 series algorithms have become a research hotspot in many fields, and they can perform excellently in different computer vision tasks. However, YOLOv8 still has room for improvement in multi-target tracking. We integrated i
Externí odkaz:
https://doaj.org/article/0720f7d1a7db4c208d52eb052c01e666
Autor:
Juan Shen, Vladimir Y. Mariano
Publikováno v:
IEEE Access, Vol 12, Pp 106121-106132 (2024)
This study addresses the need for a comprehensive understanding of evolving research trends and challenges in Alzheimer’s disease research literature from 2016 to 2023. Employing an improved Dynamic Topic Model (DTM), we analyze the landscape from
Externí odkaz:
https://doaj.org/article/c029c62ccea040668a8e53af4f5f2ad8
Autor:
Hongxia Wang, Vladimir Y. Mariano
Publikováno v:
IEEE Access, Vol 12, Pp 81867-81888 (2024)
In response to the shortcomings of high computational cost and low accuracy of the local recognition descriptor method for palmprint images, this paper proposes a new Local Ordinal Code (LOC), which utilizes three common filters for multi-directional
Externí odkaz:
https://doaj.org/article/d948e27190234b389f7d72ae4083e281
Autor:
Rui Zhang, Vladimir Y. Mariano
Publikováno v:
IEEE Access, Vol 12, Pp 77368-77378 (2024)
Stock prices are characterized by non-stationarity and volatility, and investors are easily influenced by their own emotions, and their investment decision-making behavior is characterized by irrationality, so stock prices are difficult to predict. T
Externí odkaz:
https://doaj.org/article/3b6060eaafa243b0b3354c7269d21582
Publikováno v:
IEEE Access, Vol 12, Pp 68382-68392 (2024)
Traditional collaborative filtering-based grade prediction methods overly rely on students’ historical grades and overlook the content correlation between courses, resulting in lower accuracy in predicting student grades. This paper proposes a grad
Externí odkaz:
https://doaj.org/article/ed7818dd588c418a8402e90c5576903b
Autor:
Tran Thi Kim Nga, Tuan Viet Pham, Dang Minh Tam, Insoo Koo, Vladimir Y. Mariano, Tuan Do-Hong
Publikováno v:
IEEE Access, Vol 9, Pp 66062-66078 (2021)
The objective of this study is to classify the rice grains of seventeen different varieties popularly planted in Vietnam. Image processing is used to extract color, morphological, and texture features of the rice grains. Five feature subsets are form
Externí odkaz:
https://doaj.org/article/6d3aeb32c5034f5382716e190f5e46ff
Autor:
Tran Thi Kim Nga, Tuan Pham-Viet, Dang Minh Nhat, Dang Minh Tam, Insoo Koo, Vladimir Y. Mariano, Tuan Do-Hong
Publikováno v:
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 9, Iss 30 (2022)
In this study, a proposed descriptor based on the improved local ternary patterns (ILTP) that also uses the color properties of rice varieties is presented. Not only gray-scale intensity, but R, G, and B color components of the rice grains are consid
Externí odkaz:
https://doaj.org/article/7f9096c6411843f7b3455a665683f05e
Autor:
Xiedong Song, null Vladimir Y. Mariano
Publikováno v:
Journal of Artificial Intelligence and Technology.
Fruit growing has played a huge role in solving food supply issues in many coutries. However, the yield and quality of fruits can be affected by various diseases, and thus timely and accurate identification of disease conditions is particularly impor
Autor:
Xiedong Song, Vladimir Y. Mariano
Publikováno v:
2023 IEEE 3rd International Conference on Power, Electronics and Computer Applications (ICPECA).
Publikováno v:
2022 IEEE Ninth International Conference on Communications and Electronics (ICCE).