Zobrazeno 1 - 10
of 1 291
pro vyhledávání: '"Supervised training"'
Autor:
Tianyu Han, Laura Žigutytė, Luisa Huck, Marc Sebastian Huppertz, Robert Siepmann, Yossi Gandelsman, Christian Blüthgen, Firas Khader, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn
Publikováno v:
Cell Reports Medicine, Vol 5, Iss 9, Pp 101713- (2024)
Summary: Reliably detecting potentially misleading patterns in automated diagnostic assistance systems, such as those powered by artificial intelligence (AI), is crucial for instilling user trust and ensuring reliability. Current techniques fall shor
Externí odkaz:
https://doaj.org/article/30d6b4c960ef486e997201c823bc662b
Autor:
Jasem Banihani, Mohamed-Amine Choukou
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e35565- (2024)
Background: Patients with stroke often experience weakened upper limbs, making daily tasks difficult to perform. Although rehabilitation devices are available, patients often relapse post-discharge due to insufficient practice. We present a home-base
Externí odkaz:
https://doaj.org/article/09bb8f476bb04816a540acb87488f937
Publikováno v:
Open Biology, Vol 14, Iss 6 (2024)
Nanopore sequencing platforms combined with supervised machine learning (ML) have been effective at detecting base modifications in DNA such as 5-methylcytosine (5mC) and N6-methyladenine (6mA). These ML-based nanopore callers have typically been tra
Externí odkaz:
https://doaj.org/article/de46875b68094be3863104d7fc4ccbf3
Autor:
Ravi B. D. Figueiredo, Hugo A. Mendes
Publikováno v:
IEEE Access, Vol 12, Pp 47646-47655 (2024)
Random splitting strategy is a common approach for training, testing, and validating object detection algorithms based on deep learning. Is common for datasets to have images extracted from video sources, in which there are frames with high spatial c
Externí odkaz:
https://doaj.org/article/5252f48f47804fa2861c40cc148adf8f
Publikováno v:
Frontiers in Big Data, Vol 7 (2024)
Particle accelerators play a crucial role in scientific research, enabling the study of fundamental physics and materials science, as well as having important medical applications. This study proposes a novel graph learning approach to classify opera
Externí odkaz:
https://doaj.org/article/9e409946d39e4d0091350b42c3730a5e
Publikováno v:
Sensors, Vol 24, Iss 13, p 4422 (2024)
Three-dimensional human pose estimation focuses on generating 3D pose sequences from 2D videos. It has enormous potential in the fields of human–robot interaction, remote sensing, virtual reality, and computer vision. Existing excellent methods pri
Externí odkaz:
https://doaj.org/article/c9a1be007754426abfaf12123cdf4117
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2024)
Investigations in the field of spiking neural networks (SNNs) encompass diverse, yet overlapping, scientific disciplines. Examples range from purely neuroscientific investigations, researches on computational aspects of neuroscience, or applicative-o
Externí odkaz:
https://doaj.org/article/270d073a3fd34eb7b99c0a253c27cec2
Publikováno v:
Zhejiang dianli, Vol 42, Iss 5, Pp 105-112 (2023)
The detection of traffic congestion is now realized mostly by human monitoring and sensor monitoring. However， such detection devices are deficient in road-occupied electric power construction. To meet the needs of low equipment dependency and high
Externí odkaz:
https://doaj.org/article/e7ea490776ff47e2a462c27bf09d44ba
Publikováno v:
Remote Sensing, Vol 16, Iss 9, p 1532 (2024)
Weakly supervised object detection (WSOD) in remote sensing images (RSIs) aims to detect high-value targets by solely utilizing image-level category labels; however, two problems have not been well addressed by existing methods. Firstly, the seed ins
Externí odkaz:
https://doaj.org/article/0727c95bbd8d4b84a5934db92981e50d
Publikováno v:
Symmetry, Vol 16, Iss 2, p 222 (2024)
Deep neural networks are effectively utilized for the instance segmentation of muck images from tunnel boring machines (TBMs), providing real-time insights into the surrounding rock condition. However, the high cost of obtaining quality labeled data
Externí odkaz:
https://doaj.org/article/bb47ebe322624061b9c25142d83a6623