Zobrazeno 1 - 10
of 2 186
pro vyhledávání: '"DING Weiping"'
Publikováno v:
Zhongguo shipin weisheng zazhi, Vol 36, Iss 2, Pp 139-146 (2024)
ObjectiveTo establish a rapid and accurate molecular method for detecting Clostridium perfringens (C. perfringens) in food using fluorescent multi-enzyme isothermal rapid amplification (MIRA).MethodsPrimers and probes based on the conserved s
Externí odkaz:
https://doaj.org/article/b0646627e13f426eb702694d5b0104e2
Accurate cancer survival prediction is crucial for assisting clinical doctors in formulating treatment plans. Multimodal data, including histopathological images and genomic data, offer complementary and comprehensive information that can greatly enh
Externí odkaz:
http://arxiv.org/abs/2408.04170
The twin support vector machine (TWSVM) classifier has attracted increasing attention because of its low computational complexity. However, its performance tends to degrade when samples are affected by noise. The granular-ball fuzzy support vector ma
Externí odkaz:
http://arxiv.org/abs/2408.00699
Publikováno v:
Information Fusion, 2024: 102540
In recent years, the denoising diffusion model has achieved remarkable success in image segmentation modeling. With its powerful nonlinear modeling capabilities and superior generalization performance, denoising diffusion models have gradually been a
Externí odkaz:
http://arxiv.org/abs/2408.02075
Publikováno v:
IEEE Transactions on Fuzzy Systems ( Early Access ) 2024
Histopathological image classification constitutes a pivotal task in computer-aided diagnostics. The precise identification and categorization of histopathological images are of paramount significance for early disease detection and treatment. In the
Externí odkaz:
http://arxiv.org/abs/2407.15312
Publikováno v:
IEEE Transactions on Fuzzy Systems 2024
Feature selection is a vital technique in machine learning, as it can reduce computational complexity, improve model performance, and mitigate the risk of overfitting. However, the increasing complexity and dimensionality of datasets pose significant
Externí odkaz:
http://arxiv.org/abs/2407.15893
The High Average Utility Itemset Mining (HAUIM) technique, a variation of High Utility Itemset Mining (HUIM), uses the average utility of the itemsets. Historically, most HAUIM algorithms were designed for static databases. However, practical applica
Externí odkaz:
http://arxiv.org/abs/2407.11425
Federated Learning (FL) offers innovative solutions for privacy-preserving collaborative machine learning (ML). Despite its promising potential, FL is vulnerable to various attacks due to its distributed nature, affecting the entire life cycle of FL
Externí odkaz:
http://arxiv.org/abs/2407.06754
Publikováno v:
Nantong Daxue xuebao. Ziran kexue ban, Vol 20, Iss 1, Pp 28-33 (2021)
In order to further improve the classification mechanism and the performance of neighborhood classifier, a Dempster-Shafer(D-S) evidence-driven neighborhood rough classification method is proposed. Firstly, in attribute reduction, the error rate of n
Externí odkaz:
https://doaj.org/article/934459d6f379488892b60e1da769a8b7
Active learning seeks to achieve strong performance with fewer training samples. It does this by iteratively asking an oracle to label new selected samples in a human-in-the-loop manner. This technique has gained increasing popularity due to its broa
Externí odkaz:
http://arxiv.org/abs/2405.00334