Zobrazeno 1 - 10
of 3 133
pro vyhledávání: '"multimodal data"'
Autor:
Hayato Takeda, Jun Akatsuka, Tomonari Kiriyama, Yuka Toyama, Yasushi Numata, Hiromu Morikawa, Kotaro Tsutsumi, Mami Takadate, Hiroya Hasegawa, Hikaru Mikami, Kotaro Obayashi, Yuki Endo, Takayuki Takahashi, Manabu Fukumoto, Ryuji Ohashi, Akira Shimizu, Go Kimura, Yukihiro Kondo, Yoichiro Yamamoto
Publikováno v:
Current Oncology, Vol 31, Iss 11, Pp 7180-7189 (2024)
Prostate cancer (PCa) is a clinically heterogeneous disease. Predicting clinically significant PCa with low–intermediate prostate-specific antigen (PSA), which often includes aggressive cancers, is imperative. This study evaluated the predictive ac
Externí odkaz:
https://doaj.org/article/24f19a96097940b18699af9ddd9e7f52
Autor:
Shaymaa Alsamia, Edina Koch
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This paper introduces a novel approach using Clustered Artificial Neural Networks (CLANN) to address the challenge of developing predictive models for multimodal dataset with extreme parameter values. The CLANN method strategically decompose
Externí odkaz:
https://doaj.org/article/8b9168b18ce44d0c969a8ee20022dbcb
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract Background MRI is critical for diagnosing lumbar spine disorders but its complexity challenges diagnostic accuracy. This study proposes a BERT-based large language model (LLM) to enhance precision in classifying lumbar spine disorders throug
Externí odkaz:
https://doaj.org/article/f7a702a82cae4682b70e6df5e76d5073
Autor:
Yuehua Han, Zhifen Xu
Publikováno v:
BMC Psychology, Vol 12, Iss 1, Pp 1-15 (2024)
Abstract With the widespread proliferation of the Internet, social networking sites have increasingly become integrated into the daily lives of university students, leading to a growing reliance on these platforms. Several studies have suggested that
Externí odkaz:
https://doaj.org/article/4d1993553220481589d1718d79821e59
Publikováno v:
Alexandria Engineering Journal, Vol 107, Iss , Pp 1-12 (2024)
In intelligent transportation systems, traditional object detection algorithms struggle to handle complex environments and varying lighting conditions, particularly when detecting small targets and processing multimodal data. Furthermore, existing Io
Externí odkaz:
https://doaj.org/article/5bd09143b39a4023b203ec31d27288b3
STASCAN deciphers fine-resolution cell distribution maps in spatial transcriptomics by deep learning
Autor:
Ying Wu, Jia-Yi Zhou, Bofei Yao, Guanshen Cui, Yong-Liang Zhao, Chun-Chun Gao, Ying Yang, Shihua Zhang, Yun-Gui Yang
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-28 (2024)
Abstract Spatial transcriptomics technologies have been widely applied to decode cellular distribution by resolving gene expression profiles in tissue. However, sequencing techniques still limit the ability to create a fine-resolved spatial cell-type
Externí odkaz:
https://doaj.org/article/78e84b928fec4b2ab0e9d276d1c284df
Autor:
Hanbing Zhao, Ling Jin
Publikováno v:
Alexandria Engineering Journal, Vol 113, Iss , Pp 19-31 (2025)
With the rapid development of Internet of Things (IoT) technology, multimodal emotion recognition has gradually become an important research direction in the field of artificial intelligence. However, existing methods often face challenges in efficie
Externí odkaz:
https://doaj.org/article/38848c39588d4d66ab2720dc49182b02
Publikováno v:
Известия Саратовского университета. Новая серия Серия: Физика, Vol 24, Iss 3, Pp 239-249 (2024)
Background and Objectives: Effective diagnostics of depression state using instrumental methods of biopotentials measurement is promising both as a tool for increasing the efficiency of work of a diagnostician and for application in automated hardwar
Externí odkaz:
https://doaj.org/article/8704459c40834046bc046e579716bea4
Publikováno v:
Journal of Traffic and Transportation Engineering (English ed. Online), Vol 11, Iss 4, Pp 721-732 (2024)
This study proposes an approach of leveraging information gathered from multiple traffic data sources at different resolutions to obtain approximate inference on the traffic distribution of Chicago's O'Hare Airport area. Specifically, it proposes the
Externí odkaz:
https://doaj.org/article/c762bdf3ceb6471d92c57850165ff14e
Publikováno v:
Alexandria Engineering Journal, Vol 98, Iss , Pp 44-55 (2024)
Many studies now indicate that brain disorders are associated with functional connectivity between brain regions, but the impact of interactions among functional connections on diseases remains to be explored. Moreover, existing models for analyzing
Externí odkaz:
https://doaj.org/article/709458e394b848ffa65e5888708515df