Results 41 to 50 of about 7,354 (203)

An Evaluation of Popular Copy-Move Forgery Detection Approaches

, 2012
A copy-move forgery is created by copying and pasting content within the same image, and potentially post-processing it. In recent years, the detection of copy-move forgeries has become one of the most actively researched topics in blind image forensics.
Angelopoulou, Elli, Christlein, Vincent, Jordan, Johannes, Riess, Christian, Riess, Corinna   +4 more
core   +1 more source

Linear Shape Deformation Models with Local Support Using Graph-based Structured Matrix Factorisation [PDF]

, 2016
Representing 3D shape deformations by linear models in high-dimensional space has many applications in computer vision and medical imaging, such as shape-based interpolation or segmentation. Commonly, using Principal Components Analysis a low-dimensional
Bernard, Florian, Gemmar, Peter, Goncalves, Jorge, Hertel, Frank, Thunberg, Johan   +4 more
core   +2 more sources

The Promise of Low‐Cost Metal‐Oxide Semiconductor Gas Sensors for Precision Agriculture

Advanced Sensor Research, Volume 5, Issue 3, March 2026.
Low‐cost MOS (metal‐oxide semiconductor) gas sensors are redefining smart farming. This review explores their role across soil monitoring, crop health assessment, and post‐harvest management. By addressing challenges of selectivity, signal drift, and data fusion, this work envisions MOS gas sensors as pivotal tools for intelligent, data‐driven, and ...
Ali Ahmad, Sandra Sendra, Jaime Lloret, Jinhe Bai, Erin Rosskopf, Francesco Di Gioia   +5 more
wiley   +1 more source

Fault diagnosis method of track circuit based on KPCA-SAE

Journal of Measurement Science and Instrumentation, 2022
At present, ZPW-2000 track circuit fault diagnosis is artificially analyzed and monitored. Its discrimination method not only is low efficient and takes a long period, but also requires highly experienced personnel to analyze the data.
JIN Zuchen, DONG Yu
doaj  

ElixirSeeker: A Machine Learning Framework Utilizing Fusion Molecular Fingerprints for the Discovery of Lifespan-Extending Compounds. [PDF]

Aging Cell
ElixirSeeker is a machine learning architecture based on a phenotype‐driven drug discovery approach to screen lifespan‐extending compounds. By integrating molecular fingerprints, ElixirSeeker could maximize feature capture of lifespan‐extending compounds.
Pan Y, Cai H, Ye F, Xu W, Huang Z, Zhu J, Gong Y, Li Y, Ezemaduka AN, Gao S, Liu S, Li G, Li H, Yang J, Ning J, Xian B.   +15 more
europepmc   +2 more sources

Multivariate Contrastive Predictive Coding with Sliding Windows for Disease Prediction from Electronic Health Records

Advanced Intelligent Systems, Volume 8, Issue 3, March 2026.
Adaptive multi‐indicator contrastive predictive coding is introduced as a self‐supervised pretraining framework for multivariate EHR time series. An adaptive sliding‐window algorithm and 2D convolutional neural network encoder capture localized temporal patterns and global indicator dependencies, enabling label‐efficient disease prediction that ...
Hongxu Yuan, Xiaozhu Jing, Yuzheng Yan, Wuman Luo   +3 more
wiley   +1 more source

Sparse Kernel Principal Component Analysis via Sequential Approach for Nonlinear Process Monitoring

IEEE Access, 2019
Kernel principal component analysis (KPCA) has been widely used for nonlinear process monitoring. However, since the principal components are linear combinations of all kernel functions, traditional KPCA suffers from poor interpretation and high ...
Lingling Guo, Ping Wu, Jinfeng Gao, Siwei Lou   +3 more
doaj   +1 more source

IDPEnsembleTools: An open‐source library for analysis of conformational ensembles of disordered proteins

Protein Science, Volume 35, Issue 1, January 2026.
Abstract Intrinsically disordered proteins (IDPs) lack stable tertiary structure and instead exist as dynamic ensembles of conformations, playing essential roles in cellular regulation, signaling, and disease. As structural ensembles of IDPs become increasingly available through databases such as the Protein Ensemble Database (PED) and various ...
Hamidreza Ghafouri, Giacomo Janson, Silvio C. E. Tosatto, Alexander Miguel Monzon   +3 more
wiley   +1 more source

Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods

, 2013
Feature extraction and dimensionality reduction are important tasks in many fields of science dealing with signal processing and analysis. The relevance of these techniques is increasing as current sensory devices are developed with ever higher ...
Arenas-García, Jerónimo, Camps-Valls, Gustavo, Hansen, Lars Kai, Petersen, Kaare Brandt   +3 more
core   +1 more source

Imagined Chinese Speech Decoding Based on Initials and Finals From EEG Activity

IET Signal Processing, Volume 2026, Issue 1, 2026.
Brain‐computer interface (BCI) plays an important role in various fields, such as neuroscience, rehabilitation, and machine learning. The silent BCI, which can reconstruct inner speech from neural activity, holds great promise for aphasia patients. In this paper, we design an imagined Chinese speech experimental paradigm based on initials and finals ...
Jingyu Gu, Jiuchuan Jiang, Qian Cai, Haixian Wang, Chao Zhai   +4 more
wiley   +1 more source