AIMC Topic: Neural Networks, Computer

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Collaborative twin actors framework using deep deterministic policy gradient for flexible batch processes.

Neural networks : the official journal of the International Neural Network Society
Due to its inherent efficiency in the process industry for achieving desired products, batch processing is widely acknowledged for its repetitive nature. Batch-to-batch learning control has traditionally been esteemed as a robust strategy for batch p...

Broad learning system based on fractional order optimization.

Neural networks : the official journal of the International Neural Network Society
Due to its efficient incremental learning performance, the broad learning system (BLS) has received widespread attention in the field of machine learning. Scholars have found in algorithm research that using the maximum correntropy criterion (MCC) ca...

CMDF-TTS: Text-to-speech method with limited target speaker corpus.

Neural networks : the official journal of the International Neural Network Society
While end-to-end Text-to-Speech (TTS) methods with limited target speaker corpus can generate high-quality speech, they often require a non-target speaker corpus (auxiliary corpus) which contains a substantial amount of pairs to train ...

Adaptive estimation of instance-dependent noise transition matrix for learning with instance-dependent label noise.

Neural networks : the official journal of the International Neural Network Society
Instance-dependent noise (IDN) widely exists in real-world datasets, seriously hindering the effective application of deep neural networks. In contrast to class-dependent noise, IDN is influenced not solely by the class but also by the intrinsic feat...

YOLOv8-G2F: A portable gesture recognition optimization algorithm.

Neural networks : the official journal of the International Neural Network Society
Hand gesture recognition (HGR) is a significant research area with applications in human-computer interaction, artificial intelligence, and more. In the early stage of development of HGR, there are high hardware costs and large usage requirements. To...

GCPNet: An interpretable Generic Crystal Pattern graph neural Network for predicting material properties.

Neural networks : the official journal of the International Neural Network Society
To predict material properties from crystal structures, we introduce a simple yet flexible Generic Crystal Pattern graph neural Network (GCPNet), which is based on crystal pattern graphs and employs the Graph Convolutional Attention Operator (GCAO) a...

Hierarchical feature extraction on functional brain networks for autism spectrum disorder identification with resting-state fMRI data.

Neural networks : the official journal of the International Neural Network Society
Autism Spectrum Disorder (ASD) is a pervasive developmental disorder of the central nervous system, primarily manifesting in childhood. It is characterized by atypical and repetitive behaviors. Conventional diagnostic methods mainly rely on questionn...

Bi-variational physics-informed operator network for fractional flow reserve curve assessment from coronary angiography.

Medical image analysis
The coronary angiography-derived fractional flow reserve (FFR) curve, referred to as the Angio-FFR curve, is crucial for guiding percutaneous coronary intervention (PCI). The invasive FFR is the diagnostic gold standard for determining functional sig...

HALSR-Net: Improving CNN Segmentation of Cardiac Left Ventricle MRI with Hybrid Attention and Latent Space Reconstruction.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Accurate cardiac MRI segmentation is vital for detailed cardiac analysis, yet the manual process is labor-intensive and prone to variability. Despite advancements in MRI technology, there remains a significant need for automated methods that can reli...

Advancing ocular gene therapy: a machine learning approach to enhance delivery, uptake and gene expression.

Drug discovery today
Ocular gene therapy offers a promising approach for treating various eye diseases, centered on the process of transfection, including delivery, cellular uptake and gene expression. This study addresses anatomical and physiological barriers, such as t...