Results 61 to 70 of about 410,678 (291)
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
Advanced Intelligent Systems, EarlyView.This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi +7 more
wiley +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Advanced Intelligent Systems, EarlyView.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
Psychoacoustic Models for Perceptual Audio Coding—A Tutorial Review
Applied Sciences, 2019 Psychoacoustic models of human auditory perception have found an important application in the realm of perceptual audio coding, where exploiting the limitations of perception and removal of irrelevance is key to achieving a significant reduction in ...
Jürgen Herre, Sascha Dick
doaj +1 more source
Advanced Intelligent Systems, EarlyView.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
Bandwidth extension method based on nonlinear audio characteristics classification
Tongxin xuebao, 2013 A bandwidth extension method based on audio classification was proposed.Time series of audio signals were classified into four types based on recurrence plot and recurrence quantification analysis,and the fine spectrums were recovered by taking advantage
Li-yan ZHANG +3 more
doaj
Open Loop Rate-Distortion Optimized Audio Coding [PDF]
, 2005 This paper addresses complexity reduced rate-distortion optimized audio coding under rate constraint. A technique where distor-tion minimizing coding templates, chosen from a set of templates, are jointly selected for a set of segments. This optimization
Christensen, Mads Græsbøll +2 more
core +1 more source
ControlIt: A Universal Framework for Translational, Adaptive, and Online Brain–Computer Interfaces
Advanced Intelligent Systems, EarlyView.Brain–computer interfaces (BCIs) lack a unified platform that works across signals and algorithms. ControlIt, an open‐source, modular ROS2‐based BCI framework supporting electroencephalography (EEG), electrocorticography (ECoG), and spike‐based decoding across both classification and regression tasks is presented.
Wanlin Yang +12 more
wiley +1 more source
Evaluation of Audio Compression Artifacts
Acta Polytechnica, 2007 This paper deals with subjective evaluation of audio-coding systems. From this evaluation, it is found that, depending on the type of signal and the algorithm of the audio-coding system, different types of audible errors arise.
M. Herrera Martinez
doaj
Structural problems without structural solutions? Youth leaders' perceptions of their community
American Journal of Community Psychology, EarlyView.Abstract As young people explore and reflect on the conditions of their neighborhoods and communities, they can forge a critical consciousness—merging their perspectives and analysis to direct both individual and collective actions. Photovoice is a methodological tool that allows participants to document their perspectives and analysis and discuss with
Linnea L. Hjelm +4 more
wiley +1 more source
Perceptual Coding of Audio Signals Using Adaptive Time-Frequency Transform
EURASIP Journal on Audio, Speech, and Music Processing, 2007 Wide band digital audio signals have a very high data-rate associated with them due to their complex nature and demand for high-quality reproduction.
Umapathy Karthikeyan, Krishnan Sridhar
doaj +2 more sources