Results 121 to 130 of about 41,764 (308)
Quasinormal modes of a scalar perturbation coupling with Einstein’s tensor in the warped
Weiping Yao, Songbai Chen, Jiliang Jing
openalex +1 more source
This study explores amorphous phosphate semiconductor glass for resistive random access memory (RRAM) applications. The nanodevices exhibit distinct resistive switching via trap‐assisted tunneling, space‐charge‐limited current, and Ohmic transport.
Hong‐Lin Lu +2 more
wiley +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
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 +3 more
wiley +1 more source
Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He +3 more
wiley +1 more source
Warp features in DBI inflation [PDF]
Vivian Miranda, Wayne Hu, Peter Adshead
openalex +1 more source
Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images [PDF]
Juil Sock +3 more
openalex +1 more source
Objective The objective of this study was to test if blood–brain barrier (BBB) disruption, detected using dynamic susceptibility contrast (DSC) imaging, would predict progression of white matter hyperintensities (WMHs) over the subsequent year in patients with chronic cerebrovascular disease. Methods The study included patients with a history of stroke
Richard Leigh +4 more
wiley +1 more source

