Zobrazeno 1 - 10
of 8 871
pro vyhledávání: '"siamese"'
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 11, Pp 3006-3014 (2024)
During the 3D point cloud object tracking, some issues such as occlusion, sparsity, and random noise often arise. To address these challenges, this paper proposes a novel approach to 3D point cloud object tracking based on multi-level fusion of Trans
Externí odkaz:
https://doaj.org/article/a3cb8f7adf13496fb92a801b66b361d8
Autor:
Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-34 (2024)
Abstract Predicting stock market behavior using sentiment analysis has become increasingly popular, as customer responses on platforms like Twitter can influence market trends. However, most existing sentiment-based models struggle with two major iss
Externí odkaz:
https://doaj.org/article/a539dbbbb4014f479a44f9438944d1bb
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-15 (2024)
Abstract The complexity and diversity brought by the distributed architecture of the new generation electric information collection system have deepened the difficulty of constructing evaluation verification index systems and quality evaluation model
Externí odkaz:
https://doaj.org/article/058342b21051431a94a4fb9b74bcb42f
Publikováno v:
Alexandria Engineering Journal, Vol 114, Iss , Pp 1-11 (2025)
Artificial Intelligence has been an essential component for successful data-driven medical applications. Considering today’s conditions, Deep Learning holds the leading role in advancing the field of Artificial Intelligence and ensuring positive re
Externí odkaz:
https://doaj.org/article/fd3ee644d9b94a2dad1244cebff7f351
Autor:
McGovern, Nathan
Publikováno v:
Holy Things: The Genealogy of the Sacred in Thai Religion.
Externí odkaz:
https://doi.org/10.1093/9780197759912.003.0004
Autor:
João Porto, Gabriel Higa, Vanessa Weber, Fabrício Weber, Newton Loebens, Pietro Claure, Leonardo de Almeida, Karla Porto, Hemerson Pistori
Publikováno v:
AgriEngineering, Vol 6, Iss 3, Pp 2941-2954 (2024)
This study explores the use of a Siamese neural network architecture to enhance classification performance in few-shot learning scenarios, with a focus on bovine facial recognition. Traditional methodologies often require large datasets, which can si
Externí odkaz:
https://doaj.org/article/fc5b313355314e5c94090257b3cc37a9
Publikováno v:
Acta Informatica Pragensia, Vol 13, Iss 2, Pp 234-250 (2024)
Person identification through chest X-ray radiographs stands as a vanguard in both healthcare and biometrical security domains. In contrast to traditional biometric modalities, such as facial recognition, fingerprints and iris scans, the research ori
Externí odkaz:
https://doaj.org/article/aabc4a4b235b4956aea5f01652fc53fd
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 4, Pp 1192-1211 (2024)
Remote sensing Change Detection (CD) involves identifying changing regions of interest in bi-temporal remote sensing images. CD technology has rapidly developed in recent years through the powerful learning ability of Convolutional Neural Networks (C
Externí odkaz:
https://doaj.org/article/b9d429ba53d9493eb7c935f6ab1641e8
