Zobrazeno 1 - 10
of 574
pro vyhledávání: '"Foundation models"'
Autor:
Nicoletti, Bernardo, Appolloni, Andrea
Publikováno v:
European Journal of Innovation Management, 2024, Vol. 27, Issue 9, pp. 542-561.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EJIM-07-2024-0787
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 321-336 (2025)
Self-supervised learning guided by masked image modeling, such as masked autoencoder (MAE), has attracted wide attention for pretraining vision transformers in remote sensing. However, MAE tends to excessively focus on pixel details, limiting the mod
Externí odkaz:
https://doaj.org/article/ad141a7704a940acb0a37173d5a8ed62
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract Human–robot collaboration (HRC) is a novel manufacturing paradigm designed to fully leverage the advantage of humans and robots, efficiently and flexibly accomplishing customized manufacturing tasks. However, existing HRC systems lack the
Externí odkaz:
https://doaj.org/article/0b346d482d044dd28fcb7a2a4cc84fe3
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-12 (2024)
Abstract Transformer-based large language models (LLMs) are very suited for biological sequence data, because of analogies to natural language. Complex relationships can be learned, because a concept of "words" can be generated through tokenization.
Externí odkaz:
https://doaj.org/article/6e63f94ecd8e4da89df64f9d46d19663
Publikováno v:
Advanced Science, Vol 11, Iss 44, Pp n/a-n/a (2024)
Abstract Combining chemical sensor arrays with machine learning enables designing intelligent systems to perform complex sensing tasks and unveil properties that are not directly accessible through conventional analytical chemistry. However, personal
Externí odkaz:
https://doaj.org/article/4b53d36babc04c8d8ea3f673d0a78006
Publikováno v:
Advanced Science, Vol 11, Iss 42, Pp n/a-n/a (2024)
Abstract Across diverse domains of science and technology, electromagnetic (EM) inversion problems benefit from the ability to account for multimodal prior information to regularize their inherent ill‐posedness. Indeed, besides priors that are form
Externí odkaz:
https://doaj.org/article/9ef78c8dbb914c4abae445eda97920f5
Publikováno v:
Opto-Electronic Advances, Vol 7, Iss 7, Pp 1-13 (2024)
Optical multilayer thin film structures have been widely used in numerous photonic applications. However, existing inverse design methods have many drawbacks because they either fail to quickly adapt to different design targets, or are difficult to s
Externí odkaz:
https://doaj.org/article/70f4fc9566ec40eca01aa69988f3d52f
Publikováno v:
Molecular Systems Biology, Vol 20, Iss 8, Pp 848-858 (2024)
Abstract Correlation is not causation: this simple and uncontroversial statement has far-reaching implications. Defining and applying causality in biomedical research has posed significant challenges to the scientific community. In this perspective,
Externí odkaz:
https://doaj.org/article/e9af55c03f48437797baec7600f60c14
Autor:
Max Jackson, MPhys, Helen Kalirai, BSc, PhD, Rumana N. Hussain, MBBS, MD, Heinrich Heimann, MD, PhD, Yalin Zheng, MEng, PhD, Sarah E. Coupland, MBBS, PhD
Publikováno v:
Ophthalmology Science, Vol 5, Iss 2, Pp 100647- (2025)
Purpose: Testing the validity of a self-supervised deep learning (DL) model, RETFound, for use on posterior uveal (choroidal) melanoma (UM) and nevus differentiation. Design: Case-control study. Subjects: Ultrawidefield fundoscopy images, both color
Externí odkaz:
https://doaj.org/article/4c2ac78576ca485fab3c12a5f1b1047b
Publikováno v:
In Applied Soft Computing January 2025 169