Results 61 to 70 of about 259,134 (247)
Advanced Functional Materials, EarlyView.A combinatorial library of dual‐functional antiviral oligomers incorporating N‐halamine and quaternary ammonium functionalities is developed for long‐lasting antiviral activity. The lead materials exhibit rapid and durable antiviral activity against SARS‐CoV‐2 variants and influenza H1N1, with 4 to 5 log reduction in viral copies at 5 mg mL−1 ...
Eid Nassar‐Marjiya +14 more
wiley +1 more source
A Comparison of Semi-Supervised Classification Approaches for Software Defect Prediction
Journal of Intelligent Systems, 2014 Predicting the defect-prone modules when the previous defect labels of modules are limited is a challenging problem encountered in the software industry. Supervised classification approaches cannot build high-performance prediction models with few defect
Catal Cagatay
doaj +1 more source
An Auto-Adjustable Semi-Supervised Self-Training Algorithm
Algorithms, 2018 Semi-supervised learning algorithms have become a topic of significant research as an alternative to traditional classification methods which exhibit remarkable performance over labeled data but lack the ability to be applied on large amounts of ...
Ioannis E. Livieris +3 more
doaj +1 more source
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Journal of Big DataSemi-supervised classification demonstrates effective performance in categorizing short-length texts, such as social media posts and online reviews, through the utilization of limited labeled data.
Mingqiang Wu
doaj +1 more source
A Cluster-then-label Semi-supervised Learning Approach for Pathology Image Classification
Scientific Reports, 2018 Completely labeled pathology datasets are often challenging and time-consuming to obtain. Semi-supervised learning (SSL) methods are able to learn from fewer labeled data points with the help of a large number of unlabeled data points.
Mohammad Peikari +3 more
doaj +1 more source
Hypergraph Transformer for Semi-Supervised Classification
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Accepted by ICASSP ...
Liu, Z +5 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.xxxx. ABSTRACT Glioblastoma (GBM) remains one of the most lethal brain cancers, with median survival rarely exceeding 15 months after diagnosis. Interleukin‐12 (IL‐12) is a potent immunostimulatory cytokine capable of reshaping the tumor microenvironment (TME), yet its clinical translation is hindered by systemic toxicity and short half‐life. RNA‐based
Fatima Hameedat +11 more
wiley +1 more source
An Exploration of Semi-supervised Text Classification
, 2022 Good performance in supervised text classification is usually obtained with the use of large amounts of labeled training data. However, obtaining labeled data is often expensive and time-consuming. To overcome these limitations, researchers have developed Semi-Supervised learning (SSL) algorithms exploiting the use of unlabeled data, which are ...
Lien, Henrik +3 more
openaire +2 more sources
Tissue Engineered Human Elastic Cartilage From Primary Auricular Chondrocytes for Ear Reconstruction
Advanced Functional Materials, EarlyView.Despite over three decades of research, no tissue‐engineered solution for auricular reconstruction in microtia patients has reached clinical translation. The key challenge lies in generating functional elastic cartilage ex vivo. Here, we integrate synergistic cell‐biomaterial strategies to engineer auricular grafts with mechanical and histological ...
Philipp Fisch +13 more
wiley +1 more source