Results 101 to 110 of about 15,386 (194)
Compression of spectral meteorological imagery [PDF]
Data compression is essential to current low-earth-orbit spectral sensors with global coverage, e.g., meteorological sensors. Such sensors routinely produce in excess of 30 Gb of data per orbit (over 4 Mb/s for about 110 min) while typically limited to ...
Miettinen, Kristo
core +1 more source
Numerical Linear Algebra with Applications, Volume 33, Issue 1, February 2026.ABSTRACT The heat equation is often used to inpaint dropped data in inpainting‐based lossy compression schemes. We propose an alternative way to numerically solve the heat equation by an extended Krylov subspace method. The method is very efficient with respect to the computation of the solution of the heat equation at large times.
Volker Grimm, Kevin Liang
wiley +1 more source
Small Structures, Volume 7, Issue 2, February 2026.An in‐depth review of the nanomaterial‐based electromagnetic interference shields, which are absorption‐dominant and have a high green index. The design strategies of absorption‐dominant shields are analyzed, and current challenges and potential pathways to guide future advancements and practical implementation are outlined.
Sanjoy Sur Roy +3 more
wiley +1 more source
A Block Adaptive Near-Lossless Compression Algorithm for Medical Image Sequences and Diagnostic Quality Assessment. [PDF]
J Digit Imaging, 2020 Sharma U, Sood M, Puthooran E.
europepmc +1 more source
Locally adaptive vector quantization: Data compression with feature preservation [PDF]
A study of a locally adaptive vector quantization (LAVQ) algorithm for data compression is presented. This algorithm provides high-speed one-pass compression and is fully adaptable to any data source and does not require a priori knowledge of the source ...
Cheung, K. M., Sayano, M.
core +1 more source
Integrating AI models into ecological research workflows: The case of terrestrial bioacoustics
Methods in Ecology and Evolution, Volume 17, Issue 2, Page 257-271, February 2026.Abstract Data collected by autonomous sensors, including camera traps and acoustic recorders, have enormous potential to generate new scientific insights in ecology and related fields. Modern machine learning and AI classification methods are critical to analysing these often immense data streams.
Justin Kitzes +12 more
wiley +1 more source
AIBackground: Electrocardiogram (ECG) signals are crucial for cardiovascular diagnosis, but their analysis face challenges from noise contamination, compression difficulties due to their non-stationary nature, and the inherent complexity of its ...
Fars Samann, Thomas Schanze
doaj +1 more source
Lossless and Near-Lossless Compression for Foundation Models
With the growth of model sizes and scale of their deployment, their sheer size burdens the infrastructure requiring more network and more storage to accommodate these. While there is a vast literature about reducing model sizes, we investigate a more traditional type of compression -- one that compresses the model to a smaller form and is coupled with ...
Hershcovitch, Moshik +6 more
openaire +2 more sources
Novel Near-Lossless Compression Algorithm for Medical Sequence Images with Adaptive Block-Based Spatial Prediction. [PDF]
J Digit Imaging, 2016 Song X, Huang Q, Chang S, He J, Wang H.
europepmc +1 more source
Subband Thresholding for Near-Lossless Medical Image Compression
International Journal of Computing and Digital Systems, 2023 Punitha Viswanthan, Kalavathi Palanisamy
openaire +1 more source