Zobrazeno 1 - 10
of 1 160
pro vyhledávání: '"variational autoencoders"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Survival analysis in medical research has witnessed a growing interest in applying deep learning techniques to model complex, high-dimensional, heterogeneous, incomplete, and censored data. Current methods make assumptions about the relation
Externí odkaz:
https://doaj.org/article/440b3a3116254cfca5058339436ffc17
Publikováno v:
BioMedical Engineering OnLine, Vol 23, Iss 1, Pp 1-42 (2024)
Abstract Medical imaging datasets for research are frequently collected from multiple imaging centers using different scanners, protocols, and settings. These variations affect data consistency and compatibility across different sources. Image harmon
Externí odkaz:
https://doaj.org/article/768cdcb1b9ed405696167512dce7ca97
Autor:
Jonathan D. Hollenbach, Cassandra M. Pate, Haili Jia, James L. Hart, Paulette Clancy, Mitra L. Taheri
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract In situ Electron Energy Loss Spectroscopy (EELS) combined with Transmission Electron Microscopy (TEM) has traditionally been pivotal for understanding how material processing choices affect local structure and composition. However, the abili
Externí odkaz:
https://doaj.org/article/7ab4e63f3a8d47dc9715b90ebf401567
Autor:
Seif Eldawlatly
Publikováno v:
BMC Biomedical Engineering, Vol 6, Iss 1, Pp 1-10 (2024)
Abstract Since their inception more than 50 years ago, Brain-Computer Interfaces (BCIs) have held promise to compensate for functions lost by people with disabilities through allowing direct communication between the brain and external devices. While
Externí odkaz:
https://doaj.org/article/4aaee4b492844cf3880fd21ccf535662
Autor:
J. Satheesh Kumar, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, P. Prabhavathy, K. Manikandan, Suresh Guluwadi
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract Purpose To detect the Marchiafava Bignami Disease (MBD) using a distinct deep learning technique. Background Advanced deep learning methods are becoming more crucial in contemporary medical diagnostics, particularly for detecting intricate a
Externí odkaz:
https://doaj.org/article/b284cce81f6a4dc18dd491b635407094
Autor:
Michael Goldsworthy, Rolf Müller
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 5, Pp n/a-n/a (2024)
Navigation through dense foliage presents a fundamental challenge to autonomous systems, and achieving a performance level similar to echolocating bats could have important applications in areas such as forestry and farming. However, the clutter echo
Externí odkaz:
https://doaj.org/article/88bee403500d440a9eda4e4ef2369634
Publikováno v:
IEEE Access, Vol 12, Pp 135265-135282 (2024)
Anomaly detection in multivariate time series (MTS) data is crucial for identifying unusual behaviors or events that may indicate system failures, fraud, or other issues. In many real-world scenarios, labeled anomalies are scarce or non-existent, mak
Externí odkaz:
https://doaj.org/article/b858e28e0ea04f20a3bdab14086bf7e9
Publikováno v:
IEEE Open Journal of Antennas and Propagation, Vol 5, Iss 4, Pp 958-973 (2024)
Electromagnetic (EM) body models predict the impact of human presence and motions on the Radio-Frequency (RF) field originated from wireless devices nearby. Despite their accuracy, EM models are time-consuming methods which prevent their adoption in
Externí odkaz:
https://doaj.org/article/cedef29a72d241e0a264915d5c29fbae
Publikováno v:
IEEE Access, Vol 12, Pp 90535-90551 (2024)
This study presents a novel multimodal deep learning model designed to improve early detection and diagnosis of chronic cardiac conditions such as Severe Left Ventricular Hypertrophy (SLVH) and Dilated Left Ventricle (DLV). Leveraging nearly 70,000 m
Externí odkaz:
https://doaj.org/article/c1af1c53d16c405ab523f5f10c30a34f
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 1, Pp 69-79 (2024)
Abstract Large‐scale acoustic projects generate vast amounts of data that can now be efficiently processed using deep learning tools. However, these tools often face limitations due to sound labeling and imbalanced sampling. Data augmentation can h
Externí odkaz:
https://doaj.org/article/e685de9967f7488ba4cd1c483335cc36