Adaptive Run-Length Encoded DCT: A High-Fidelity Compression Algorithm for Real-Time Photoacoustic Microscopy Imaging in LabVIEW. [PDF]
Zafar M, Avanaki K.
europepmc +1 more source
Negative Stiffness Induced and Controlled by Constriction
Structures with negative stiffness can be stabilized by constriction of external displacement. Furthermore, constriction can make a conventional positive stiffness material exhibit negative stiffness, either bidirectional or unidirectional (shown in the figure).
Elena Pasternak, Arcady V. Dyskin
wiley +1 more source
Fast Fourier transform is a training-free, ultrafast, highly efficient, and fully interpretable approach for epigenomic data compression. [PDF]
Ward M, Dao B, Datta A, Li Z.
europepmc +1 more source
Unified parallel lattice structures for time-recursive discrete cosine/sine/Hartley transforms
K. Liu, C. Chiu
semanticscholar +1 more source
Ensemble Kalman filter in latent space using a variational autoencoder pair
The use of the ensemble Kalman filter (EnKF) in strongly nonlinear or constrained atmospheric, oceanographic, or sea‐ice models can be challenging. Applying the EnKF in the latent space of a variational autoencoder (VAE) ensures that the ensemble members satisfy the balances and constraints present in the model.
Ivo Pasmans +4 more
wiley +1 more source
Lightweight dual-watermarking framework for medical image authentication and integrity preservation. [PDF]
Taj R +5 more
europepmc +1 more source
Forecast verification using information and noise
Verification of weather forecasts is usually expressed in terms of total error metrics. This is useful for end users of the forecasts but does not allow evaluation of the intrinsic information content of the forecasts. To overcome this limitation, we propose a new total error decomposition into information and noise error measures, connect it to ...
Massimo Bonavita, Alan J. Geer
wiley +1 more source
A State-Space Framework for Parallelizing Digital Signal Processing in Coherent Optical Receivers. [PDF]
Wang J, Wang Z, Liu D.
europepmc +1 more source
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley +1 more source
A multi-modal sarcasm detection model based on cue learning. [PDF]
Lu M +6 more
europepmc +1 more source

