Results 51 to 60 of about 415,290 (251)
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Advanced Engineering Materials, EarlyView.Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley +1 more source
Two-Dimensional Histogram Shifting-Based Reversible Data Hiding for H.264/AVC Video
Applied Sciences, 2020 Histogram shifting (HS) has been proved to be a great success in reversible data hiding (RDH). To reduce the quality loss of marked media and the increase in file size, several two-dimensional (2D) HS schemes based on the characteristics of cover media ...
Yuzhang Xu, Junhui He
doaj +1 more source
Advanced Engineering Materials, EarlyView.Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Improved CNN Prediction Based Reversible Data Hiding for Images
EntropyThis paper proposes a reversible data hiding (RDH) scheme for images with an improved convolutional neural network (CNN) predictor (ICNNP) that consists of three modules for feature extraction, pixel prediction, and complexity prediction, respectively ...
Yingqiang Qiu, Wanli Peng, Xiaodan Lin
doaj +1 more source
Reversible Data Hiding Using Histogram Shifting for Digital Images [PDF]
, 2023 Reversible Data Hiding (RDH) includes embedding information into cover media in a way that takes into consideration the recovery of the inserted information and in addition the original media.
Namitha R Shetty
core
Advanced Engineering Materials, EarlyView.This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Research and prospect of reversible data hiding method with contrast enhancement
网络与信息安全学报, 2016 Reversible data hiding methods can recover the cover image losslessly after extracting the secret message from the marked image.Such technology can be used in the certification or the label of military,justice and medical images,which are sensitive and ...
Yang YANG +4 more
doaj +3 more sources
Advanced Engineering Materials, EarlyView.Binder‐free laser powder bed fusion of 8YSZ with a femtosecond laser is used to map process windows linking scan strategy, heat accumulation, and grain growth. Time‐resolved thermography and simulations reveal thermal regimes that enable continuous, vitrified, and fine‐grained 8YSZ surface layers without absorptive additives and demonstrate ...
Markus Kühn +5 more
wiley +1 more source
Reversible data hiding: Advances in the past two decades
IEEE Access, 2016 In the past two decades, reversible data hiding (RDH), also referred to as lossless or invertible data hiding, has gradually become a very active research area in the field of data hiding.
Yun-Qing Shi +4 more
doaj +1 more source
Reversible Data Hiding for DNA Sequence Using Multilevel Histogram Shifting [PDF]
, 2018 A large number of studies have examined DNA storage to achieve information hiding in DNA sequences with DNA computing technology. However, most data hiding methods are irreversible in that the original DNA sequence cannot be recovered from the ...
Suk-Hwan Lee
core +1 more source