Results 61 to 70 of about 1,251 (171)
Noisy Graph Patterns via Ordered Matrices
Abstract The high‐level structure of a graph is a crucial ingredient for the analysis and visualization of relational data. However, discovering the salient graph patterns that form this structure is notoriously difficult for two reasons. (1) Finding important patterns, such as cliques and bicliques, is computationally hard.
J. Wulms, W. Meulemans, B. Speckmann
wiley +1 more source
Video frame interpolation based on invertible neural network for Internet of things
Video frame interpolation focuses on directly synthesizing intermediate frames by utilizing inter-frame changes, relying heavily on large, high-frame-rate video datasets for supervised training, which imposes significant demands on bandwidth and ...
Lingfan Wu +4 more
doaj +1 more source
Information Encryption in Ghost Imaging With Customized Data Container and XOR Operation
The conventional ghost-imaging-based encryption (GIE) scheme has low-quality decrypted images and unsatisfied security. In this paper, we propose to cope with these issues using customized data container and exclusive-OR (XOR) operation.
Yi Qin, Yingying Zhang
doaj +1 more source
A guide to laser microdissection‐based proteomics
This review takes researchers through the full laser microdissection proteomics workflow—from tissue preparation and image analysis to sample processing and mass spectrometry—offering practical solutions to common challenges at each step. Real‐world examples from across the field illustrate how the technology is being applied to disease tissue, making ...
Cheng Shen +3 more
wiley +1 more source
Abstract As part of a Global BioImage Analysts' Society (GloBIAS) initiative, we evaluated the reproducibility of a Graph Neural Network (GNN) study on cell dynamics using structured, community‐developed checklists from the Quality Assessment and Reproducibility for Instruments and Images in Light Microscopy (QUAREP‐LiMi) initiative.
Martin Schätz, Ko Sugawara
wiley +1 more source
Lossless compression of medical images allows for rapid image data exchange and faithful recovery of the compressed data for medical image assessment. There are many useful telemedicine applications, for example in diagnosing conditions such as malaria ...
Md Firoz Mahmud +2 more
doaj +1 more source
Efficient and Lossless Polynomial-Based Secret Image Sharing for Color Images
In today's era of developed network, it is particularly important to ensure the security of information. Secret image sharing is a kind of secret information protection technology with loss tolerance by sharing a secret image to a number of shadow images.
Qinghong Gong +3 more
doaj +1 more source
High Step-Up Interleaved Converter Mixed With Magnetic Coupling and Voltage Lift
In this paper, a non-isolated high step-up interleaved DC-DC converter for distributed generation applications such as solar cells and fuel cells. The proposed converter mixes the benefits of magnetic coupling, voltage multiplier, and voltage lift ...
Sang-Wha Seo, Dong-Kuk Lim, Han Ho Choi
doaj +1 more source
Based on the modified Langevin noise formalism and BA‐MA theory, optimized computational formulations are demonstrated for quantum plasmonic simulations without explicit BA–MA mode construction. Plasmonic Hong‐Ou‐Mandel interference, g2, atomic population, and single‐photon probability amplitudes are efficiently analyzed, revealing directional single ...
Jisang Seo +5 more
wiley +1 more source
The widespread adoption of cloud storage has exposed user image data to privacy leakage risks. Traditional image encryption methods convert images into entirely unreadable formats, ensuring security yet severely restricting image usability (e.g ...
Dezhi An, Xin Pu, Jun Lu, Xue Xia
doaj +1 more source

