Zobrazeno 1 - 10
of 3 160
pro vyhledávání: '"Multimodal learning"'
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-13 (2024)
Abstract The application of multimodal deep learning for emergency response and recovery, specifically in disaster social media analysis, is of utmost importance. It is worth noting that in real-world scenarios, sudden disaster events may differ from
Externí odkaz:
https://doaj.org/article/903bcbaf7de445898132d678d5aaf47e
Publikováno v:
BMC Biology, Vol 22, Iss 1, Pp 1-20 (2024)
Abstract Background Accurate and robust drug response prediction is of utmost importance in precision medicine. Although many models have been developed to utilize the representations of drugs and cancer cell lines for predicting cancer drug response
Externí odkaz:
https://doaj.org/article/f1c9552d84e14eafa67c1b5380b0805d
Publikováno v:
Jiaoshi jiaoyu xuebao, Vol 11, Iss 5, Pp 49-58 (2024)
In contemporary education, the prevalence of the test-oriented education has led to a single, rigid learning assessment, as well as the neglecting of the personalized learning needs of learners. The rise of smart classroom and multimodal learning ana
Externí odkaz:
https://doaj.org/article/6629893fa14249cd9f7b7853a9ca58d8
Autor:
Djimeli Tsamene Charly, Mathias Onabid
Publikováno v:
Cognitive Computation and Systems, Vol 6, Iss 1-3, Pp 36-48 (2024)
Abstract An investigation on the effect of mental activity in quality perception is presented using simultaneous measurement of electroencephalography (EEG) and functional near‐infrared spectroscopy (fNIRS), in a subject‐independent approach. Bui
Externí odkaz:
https://doaj.org/article/58b6de800b7146d8a66fd05db5813786
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 2708-2716 (2024)
In the field of computational oncology, patient status is often assessed using radiology-genomics, which includes two key technologies and data, such as radiology and genomics. Recent advances in deep learning have facilitated the integration of radi
Externí odkaz:
https://doaj.org/article/ab16a19577a541719b5ea68f019f5f37
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 1666-1679 (2024)
Accurately predicting molecular properties is a challenging but essential task in drug discovery. Recently, many mono-modal deep learning methods have been successfully applied to molecular property prediction. However, mono-modal learning is inheren
Externí odkaz:
https://doaj.org/article/583974d537c846728e540f4c4a97ddf3
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Autism spectrum disorder (ASD) is diagnosed using comprehensive behavioral information. Neuroimaging offers additional information but lacks clinical utility for diagnosis. This study investigates whether multi-forms of magnetic resonance im
Externí odkaz:
https://doaj.org/article/04673a1804ae4e5499dc8aae9ae7c8b7
Publikováno v:
Educational Technology & Society, Vol 27, Iss 2, Pp 243-255 (2024)
This study investigated the effectiveness of applying pedagogical translanguaging by utilizing Google Translate to facilitate college juniors in writing presentation scripts. Participants included 109 non-English major juniors divided into high- and
Externí odkaz:
https://doaj.org/article/1bb0c3ab05ba4b4f88bab68e46488077
Publikováno v:
Educational Technology & Society, Vol 27, Iss 2, Pp 347-385 (2024)
Generative Artificial Intelligence (AI), especially machine learning models that autonomously generate human-like content, has recently attracted significant attention in the education sector. This paper explores the potential of generative AI, inclu
Externí odkaz:
https://doaj.org/article/a43bec01c529440987baa91e89368a59
Autor:
Chengwen Sun, Feng Liu
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-14 (2024)
Abstract Using user-generated content (UGC) is of utmost importance for e-commerce platforms to extract valuable commercial information. In this paper, we propose an explainable multimodal learning approach named the visual–semantic embedding model
Externí odkaz:
https://doaj.org/article/4f99cee26ce1444bb20ae7483c5e5190