Results 211 to 220 of about 5,483,449 (298)
AI‐EXAFS: Physics‐Informed Prediction of EXAFS from Atomic Structure
Advanced Science, EarlyView.AI‐EXAFS presents a neural network to reproduce EXAFS. Trained on synthetic data and with a careful selection of the settings both for the physical representation of the system and following the experimental heuristic loss functions, the model is capable of reproducing EXAFS spectra for molecules from the tridimensional structure.
Javier Heras‐Domingo +6 more
wiley +1 more source
Protein-Protein Interaction Article Classification Using a Convolutional Recurrent Neural Network with Pre-trained Word Embeddings. [PDF]
J Integr Bioinform, 2017 Matos S, Antunes R.
europepmc +1 more source
Physics‐Guided Multi‐Channel Restoration for Efficient and Accurate Atomic Force Microscopy Imaging
Advanced Science, EarlyView.Schematic figure of restoring noisy atomic force micrscopy (AFM) image via physics‐guided multi‐channel restoration. The lighter neural network models with multiple‐channel input from auxiliary signals outperforms heavier model with single‐channel input.
Jaeuk Sung +13 more
wiley +1 more source
Comparison of Convolutional and Recurrent Neural Networks for the P300 Detection
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021 openaire +1 more source
Spatiotemporal Computational Meta‐Imager for Broadband Dual‐Layer Optical Convolution
Advanced Science, EarlyView.A single‐layer polarization‐multiplexed meta‐imager achieves factorized dual‐layer broadband convolution via spatiotemporal kernel decomposition. Fixed Bessel‐vortex bases and time‐sequential liquid‐crystal modulation deliver tunable signed weights and in‐situ fabrication‐error compensation. Experiments verify improved classification performance across
Mengguang Wang +6 more
wiley +1 more source
Advanced Science, EarlyView.A multifunctional vertical bulk‐heterojunction transistor (MVBT) with amorphous GaOx integrates four functionalities within a single neuromorphic device. Gate‐source operation enables 254 nm deep‐ultraviolet sensing and threshold neuronal firing, whereas three‐terminal operation supports broadband UV–vis‐NIR synaptic functions and bias‐controlled ...
Jinkui Si +12 more
wiley +1 more source
Image Recapture Detection with Convolutional and Recurrent Neural Networks
Electronic Imaging, 2017 Haoliang Li +2 more
openaire +2 more sources
Advanced Electronic Materials, EarlyView.Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa +6 more
wiley +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
Advanced Electronic Materials, EarlyView.ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source