Výsledky vyhledávání - "supervised deep learning"

Akademický článek

Developing a fair and interpretable representation of the clock drawing test for mitigating low education and racial bias

Autor: Jiaqing Zhang, Sabyasachi Bandyopadhyay, Faith Kimmet, Jack Wittmayer, Kia Khezeli, David J. Libon, Catherine C. Price, Parisa Rashidi

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)

Abstract The clock drawing test (CDT) is a neuropsychological assessment tool to screen an individual’s cognitive ability. In this study, we developed a Fair and Interpretable Representation of Clock drawing test (FaIRClocks) to evaluate and mitiga

Externí odkaz: https://doaj.org/article/debc7f1b53414c13b7951f793386fe4a

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Akademický článek

Detection of Wet Snow by Weakly Supervised Deep Learning Change Detection Algorithm with Sentinel-1 Data

Autor: Hanying Gong, Zehao Yu, Shiqiang Zhang, Gang Zhou

Publikováno v: Remote Sensing, Vol 16, Iss 19, p 3575 (2024)

The snowmelt process plays a crucial role in hydrological forecasting, climate change, disaster management, and other related fields. Accurate detection of wet snow distribution and its changes is essential for understanding and modeling the snow mel

Externí odkaz: https://doaj.org/article/3f059156895945438a0b37a889c57b41

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Akademický článek

Detection and Segmentation of Mouth Region in Stereo Stream Using YOLOv6 and DeepLab v3+ Models for Computer-Aided Speech Diagnosis in Children

Autor: Agata Sage, Pawel Badura

Publikováno v: Applied Sciences, Vol 14, Iss 16, p 7146 (2024)

This paper describes a multistage framework for face image analysis in computer-aided speech diagnosis and therapy. Multimodal data processing frameworks have become a significant factor in supporting speech disorders’ treatment. Synchronous and as

Externí odkaz: https://doaj.org/article/9385f5951f2747bcb9ac80b6cc575c8f

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Akademický článek

Ultra-high-resolution UAV-imaging and supervised deep learning for accurate detection of Alternaria solani in potato fields

Autor: Jana Wieme, Sam Leroux, Simon R. Cool, Jonathan Van Beek, Jan G. Pieters, Wouter H. Maes

Publikováno v: Frontiers in Plant Science, Vol 15 (2024)

Alternaria solani is the second most devastating foliar pathogen of potato crops worldwide, causing premature defoliation of the plants. This disease is currently prevented through the regular application of detrimental crop protection products and i

Externí odkaz: https://doaj.org/article/303a58f0e7a148449f89e4260b905439

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Akademický článek

Gear Fault Detection Method Based on Convex Hull Clustering of Autoencoder’s Latent Space

Autor: Michał Batsch, Bartłomiej Kiczek

Publikováno v: Applied Sciences, Vol 14, Iss 12, p 5282 (2024)

This paper presents a method of pitting failure detection in toothed gears based on the reconstruction of the gear case vibrational signal. The effectiveness of the proposed method was tested in an experiment on a power circulation test stand. The au

Externí odkaz: https://doaj.org/article/3635c453077d47358d29fe5da1c4f208

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Akademický článek

Application of the convolutional neural networks and supervised deep-learning methods for osteosarcoma bone cancer detection

Autor: Sushopti Gawade, Ashok Bhansali, Kshitij Patil, Danish Shaikh

Publikováno v: Healthcare Analytics, Vol 3, Iss , Pp 100153- (2023)

Osteosarcoma is a cancerous tumor that occurs in bones. Although it can occur in any bone, it often occurs in long bones such as arms and legs. The exact cause of this cancerous tumor is still unknown, but according to experts, it occurs due to the d

Externí odkaz: https://doaj.org/article/908d644f683d48cf8ead1531b58fad29

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