Zobrazeno 1 - 10
of 64 541
pro vyhledávání: '"Ensemble model"'
In deep learning, transfer learning and ensemble models have shown promise in improving computer-aided disease diagnosis. However, applying the transfer learning and ensemble model is still relatively limited. Moreover, the ensemble model's developme
Externí odkaz:
http://arxiv.org/abs/2409.06699
Phishing attacks are a growing cybersecurity threat, leveraging deceptive techniques to steal sensitive information through malicious websites. To combat these attacks, this paper introduces PhishGuard, an optimal custom ensemble model designed to im
Externí odkaz:
http://arxiv.org/abs/2409.19825
Publikováno v:
Scientific Reports. 9/3/2024, Vol. 14 Issue 1, p1-14. 14p.
Autor:
Liu, Fang, Guo, Shaobo, Xing, Qianwen, Sha, Xinye, Chen, Ying, Jin, Yuhui, Zheng, Qi, Yu, Chang
Stock trading has always been a key economic indicator in modern society and a primary source of profit for financial giants such as investment banks, quantitative trading firms, and hedge funds. Discovering the underlying patterns within the seeming
Externí odkaz:
http://arxiv.org/abs/2410.20253
Spectral Unmixing is an important technique in remote sensing used to analyze hyperspectral images to identify endmembers and estimate abundance maps. Over the past few decades, performance of techniques for endmember extraction and fractional abunda
Externí odkaz:
http://arxiv.org/abs/2406.06742
Autor:
Kwon, Sungsoo1 (AUTHOR) sungsoo@cu.ac.kr, Jeon, Seoyoung1 (AUTHOR) jeon1008sy@cu.ac.kr, Park, Tae-Jin2 (AUTHOR) etjpark@kaeri.re.kr, Bae, Ji-Hoon1 (AUTHOR) jihbae@cu.ac.kr
Publikováno v:
Sensors (14248220). Aug2024, Vol. 24 Issue 15, p4999. 17p.
Autor:
Qin, Xiwen1 (AUTHOR), Ji, Xing1 (AUTHOR), Zhang, Siqi1 (AUTHOR), Xu, Dingxin1 (AUTHOR) xudingxin@ccut.edu.cn
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2024, Vol. 46 Issue 2, p5359-5376. 18p.
Autor:
Ma, Zhipeng, Kemmerling, Marco, Buschmann, Daniel, Enslin, Chrismarie, Lütticke, Daniel, Schmitt, Robert H.
Publikováno v:
Symmetry 2023, 15(5), 982
Causal inference is a fundamental research topic for discovering the cause-effect relationships in many disciplines. However, not all algorithms are equally well-suited for a given dataset. For instance, some approaches may only be able to identify l
Externí odkaz:
http://arxiv.org/abs/2403.04793
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Zhao, Yanxi1 (AUTHOR), He, Jiaoyang1 (AUTHOR), Yao, Xia1 (AUTHOR) 2019201085@njau.edu.cn, Cheng, Tao1 (AUTHOR), Zhu, Yan1 (AUTHOR), Cao, Weixing1 (AUTHOR), Tian, Yongchao1 (AUTHOR) yctian@njau.edu.cn
Publikováno v:
Remote Sensing. Apr2024, Vol. 16 Issue 7, p1259. 17p.