Results 241 to 250 of about 559,293 (328)

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

Sensors Network and Wearables for People Activities and Wellbeing Monitoring. [PDF]

Sensors (Basel)
Casaccia S, Cosoli G.
europepmc   +1 more source

Sound field separation for planar sources facing a parallel reflector

, 2019
Elías Zea, Inés López Arteaga
openalex   +2 more sources

Versatile Standing Wave Generation Between Arbitrarily Oriented Surfaces Using Acoustic Metasurface Deflectors and Retroreflectors

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel method for generating versatile standing wave fields using an acoustic metasurface deflector and retroreflector is introduced. By overcoming traditional constraints of parallel surfaces, the approach enables customizable wave patterns and enhances applications in particle manipulation.
Chadi Ellouzi, Farhood Aghdasi, Ali Zabihi, Amir K. Miri, Chen Shen   +4 more
wiley   +1 more source

Serial recall in spatial acoustic environments: irrelevant sound effect and spatial source alternations. [PDF]

Sci Rep
Ermert CA, Yadav M, Marsh JE, Schlittmeier SJ, Kuhlen TW, Fels J.   +5 more
europepmc   +1 more source

Extended nonnegative tensor factorisation models for musical sound source separation. [PDF]

Comput Intell Neurosci, 2008
FitzGerald D, Cranitch M, Coyle E.
europepmc   +1 more source

Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining

Advanced Intelligent Systems, EarlyView.
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson, Nebojša Maleševic, Anders Björkman, Christian Antfolk   +3 more
wiley   +1 more source

Factor-driven urban sensory equity: parallel auditory and olfactory perceptual models of spatial experience in urban environments for people with visual impairment. [PDF]

Front Psychol
Ba M, Fang J, Li Z, Xu W, Kang J.
europepmc   +1 more source

Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics

Advanced Intelligent Systems, EarlyView.
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez, Jokin Alcibar, Joel Pino, Mikel Sanz, Jose I. Aizpurua   +4 more
wiley   +1 more source

An Improved Multi-Mode Composition Beamforming for Separation and Localization of Different Moving Sound Sources

Ning Chu, Zhang Ying-qing, Liang Yu, Jiang Hanbo, Weihua Yang, Ali Mohammad‐Djafari, Caifang Cai   +6 more
openalex   +2 more sources