Reconstructing 12-lead ECG from 3-lead ECG using variational autoencoder to improve cardiac disease detection of wearable ECG devices. [PDF]
Guan X +11 more
europepmc +1 more source
Weibull Variational Autoencoder for Remaining Useful Life Prediction
ABSTRACT Remaining useful life (RUL) prediction is a critical technology for preventing unexpected failures and reducing maintenance costs in modern industrial systems. However, traditional model‐based approaches are limited by the need for explicit mathematical modeling of degradation mechanisms, while data‐driven methods often require large‐scale ...
JunWoo Yu +4 more
wiley +1 more source
AI-driven feature recognition of SEM profiles in deep reactive ion etching based on physics-constrained variational autoencoder. [PDF]
Wang F +6 more
europepmc +1 more source
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source
Multimodal Variational Autoencoder: A Barycentric View. [PDF]
Qiu P +8 more
europepmc +1 more source
FEWT: Frequency‐Enhanced Wavelet‐Based Transformer for Multimodal Wheeled Bimanual Manipulation
An embodied mobile bimanual robot learns dexterous manipulation skills through imitation learning with multimodal perception. The integration of vision, proprioception, and tactile sensing establishes a comprehensive perception–action loop, enabling the robot to continuously understand, interact with, and adapt to complex physical environments.
Jiaxin Huang +6 more
wiley +1 more source
A prior-sampling conditional variational autoencoder for neuroimaging normative modelling: Benchmarking deep learning against statistical approaches. [PDF]
Ho MP +5 more
europepmc +1 more source
Organizing across cognitive asymmetry in human–AI collaboration: A study of perfume creation
Abstract Research Summary As organizations increasingly adopt generative AI (GenAI), they face a strategic challenge: not only deciding which tasks AI should perform, but also how to organize the integration of human and AI efforts to produce viable solutions.
Tomoko Yokoi +3 more
wiley +1 more source
Soft Measurement Modeling Method Based on Quality-Related Mixed Variational Autoencoder Regression. [PDF]
Xu J, Yu B, Mo C, Fang K, Lin X.
europepmc +1 more source
Deterministic Switching‐Path Engineering of CMOS‐Integrated 2D Memristors for Neuromorphic Computing
Deterministic grain‐boundary engineering in 2D MoTe2 defines resistive switching paths, while CMOS transistors impose gate‐tunable current compliance in a monolithically integrated 1T–1 M array. The resulting artificial synapses show stable, linear, and low‐variation analog weight updates, illustrating how materials‐level defect control can be ...
Jihoon Yang +12 more
wiley +1 more source

