This article discusses the use of multimodal imaging and computational advances in tissue characterization and cancer diagnostics. It proposes a new content-based image retrieval…
Browsing: Feature Extraction
3D laser scanners are powerful tools that use LiDAR technology to capture detailed 3D observations of the environment. This data can be used for…
This article discusses the deep integration of optimization and machine learning and how it has become a popular topic in the last decade. The…
Neural networks are powerful machine learning algorithms that can automatically learn feature representations of input data. They have the advantages of automatically learning features,…
This article explores the applications of deep learning in regulatory genomics and cellular imaging, highlighting its ability to handle large datasets and make accurate…
This article discusses the challenges of accurately estimating the state-of-health (SOH) of lithium-ion batteries and proposes a physics-informed neural network (PINN) as a solution.…
In this article, a dual lesion attention network (DLA-Net) is proposed for the accurate and early detection of pneumoconiosis using chest X-rays. The network…
Quantum computing has rapidly advanced since its inception, with the proposal of quantum algorithms and the emergence of quantum machine learning (QML). Challenges remain…
This article discusses the use of electric network frequency (ENF) as a reliable technique in audio forensics and introduces a blind audio forensics framework,…
Deep5HMC is a machine learning model that accurately identifies 5-hydroxymethylcytosine (5HMC) modifications in RNA, showing potential for early disease diagnosis.