Regional Prediction of Ozone and Fine Particulate Matter Using Diffusion Convolutional Recurrent Neural Network. [PDF]
Int J Environ Res Public Health, 2022 Wang D, Wang HW, Lu KF, Peng ZR, Zhao J.
europepmc +1 more source
De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning
Advanced Science, EarlyView.Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li +23 more
wiley +1 more source
A convolutional-recurrent neural network approach to resting-state EEG classification in Parkinson's disease. [PDF]
J Neurosci Methods, 2021 Lee S +4 more
europepmc +1 more source
Tunable Switching Mechanisms in HfZrO2‐Based Tunnel Junctions for High‐Performance Synaptic Arrays
Advanced Science, EarlyView.This work demonstrates hybrid switching in engineered HZO‐based FTJs, enabled by controlled interlayer design and oxygen scavenging dynamics. The combined switching mechanism produces robust multilevel conductance states in large crossbar arrays, offering a materials‐driven pathway toward scalable in‐memory computing with enhanced tunability and ...
Jiwon You +8 more
wiley +1 more source
HybridMouse: A Hybrid Convolutional-Recurrent Neural Network-Based Model for Identification of Mouse Ultrasonic Vocalizations. [PDF]
Front Behav Neurosci, 2021 Goussha Y +5 more
europepmc +1 more source
RecNets: Channel-wise Recurrent Convolutional Neural Networks
, 2019 In this paper, we introduce Channel-wise recurrent convolutional neural networks (RecNets), a family of novel, compact neural network architectures for computer vision tasks inspired by recurrent neural networks (RNNs). RecNets build upon Channel-wise recurrent convolutional (CRC) layers, a novel type of convolutional layer that splits the input ...
Retsinas, George +3 more
openaire +2 more sources
Unveil Fundamental Graph Properties for Neural Architecture Search
Advanced Science, EarlyView.This paper proposes NASGraph, a graph‐based framework that represents neural architectures as graphs whose structural properties determine performance. By revealing structure–performance relationships, NASGraph enables efficient neural architecture search with significantly reduced computation.
Zhenhan Huang +4 more
wiley +1 more source
A joint convolutional-recurrent neural network with an attention mechanism for detecting intracranial hemorrhage on noncontrast head CT. [PDF]
Sci Rep, 2022 Alis D +16 more
europepmc +1 more source
Recurrent Convolutional Neural Networks for Discourse Compositionality
, 2013 The compositionality of meaning extends beyond the single sentence. Just as words combine to form the meaning of sentences, so do sentences combine to form the meaning of paragraphs, dialogues and general discourse. We introduce both a sentence model and a discourse model corresponding to the two levels of compositionality.
Kalchbrenner, N, Blunsom, P
openaire +3 more sources
Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine
Advanced Science, EarlyView.This scalable, low‐cost Organ Chip platform, made via injection molding, uses capillary pinning for hydrogel confinement and supports versatile tissue coculture and robust imaging. Deep learning enables label‐free, sensitive phenotypic analysis.
Yu‐Chieh Yuan +24 more
wiley +1 more source