Results 71 to 80 of about 7,354 (203)
Time Series Embedding Methods for Classification Tasks: A Review
Expert Systems, Volume 42, Issue 11, November 2025.ABSTRACT Time series analysis has become crucial in various fields, from engineering and finance to healthcare and social sciences. Due to their multidimensional nature, time series often need to be embedded into a fixed‐dimensional feature space to enable processing with various machine learning algorithms.
Habib Irani +3 more
wiley +1 more source
Evaluation of PPG Biometrics for Authentication in different states
, 2017 Amongst all medical biometric traits, Photoplethysmograph (PPG) is the easiest to acquire. PPG records the blood volume change with just combination of Light Emitting Diode and Photodiode from any part of the body.
Abbas, Sherif N +2 more
core +1 more source
Vision Transformer‐Enhanced Multi‐Descriptor Approach for Robust Age‐Invariant Face Recognition
Applied AI Letters, Volume 6, Issue 3, October 2025.ABSTRACT This study presents a robust age‐invariant face recognition framework, addressing challenges posed by age‐related facial variations. Evaluated on the FGNet and Morph II datasets, the system integrates Viola‐Jones for face detection, SIFT and LBP for feature extraction, and Vision Transformers (ViTs) for global feature representation.
Justice Kwame Appati +3 more
wiley +1 more source
You-qi chuyunObjectiveTo improve the accuracy of internal corrosion rate predictions for natural gas gathering and transportation pipelines in marine environments, evaluate their residual strength, develop anti-corrosion measures, and ensure their safe operation, a ...
Zhengshan LUO, Sisi CHEN, Yiqiong GAO
doaj +1 more source
Automatic Reconstruction of Woven Cloth from a Single Close‐up Image
Computer Graphics Forum, Volume 44, Issue 7, October 2025.Abstract Digital replication of woven fabrics presents significant challenges across a variety of sectors, from online retail to entertainment industries. To address this, we introduce an inverse rendering pipeline designed to estimate pattern, geometry, and appearance parameters of woven fabrics given a single close‐up image as input.
C. Wu +5 more
wiley +1 more source
Fault diagnosis method of train control RBC system based on KPCA-SOM network
Journal of Measurement Science and Instrumentation, 2020 Radio block center（RBC） system is the core equipment of China train control system-3（CTCS-3）. Now, the fault analysis of RBC system mainly depends on manual work, and the diagnostic results are inaccurate and inefficient. Therefore, the intelligent fault
LI Yang-qing, LIN Hai-xiang
doaj
Approximate Kernel PCA Using Random Features: Computational vs. Statistical Trade-off
, 2018 Kernel methods are powerful learning methodologies that provide a simple way to construct nonlinear algorithms from linear ones. Despite their popularity, they suffer from poor scalability in big data scenarios.
Sriperumbudur, Bharath, Sterge, Nicholas
core
KPCA Feature Extraction Based on Bacterial Foraging Algorithm
Advanced Engineering Forum, 2011 KPCA is a commonly used method for feature extraction, for the problems of kernel function and its parameters have a great influence on performance of KPCA feature extraction but the optimal parameters are difficult to select. This paper applied the bacterial foraging algorithm on KPCA feature extraction and the method of KPCA feature extraction based ...
Xue Jun Li +3 more
openaire +1 more source
Signal processing methods for EEG data classification [PDF]
, 2008 Imperial Users ...
Varnavas, Andreas Soteriou +1 more
core
By-passing the Kohn-Sham equations with machine learning
, 2017 Last year, at least 30,000 scientific papers used the Kohn-Sham scheme of density functional theory to solve electronic structure problems in a wide variety of scientific fields, ranging from materials science to biochemistry to astrophysics.
Brockherde, Felix +5 more
core +3 more sources