Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
As a modal of physiological information, electroencephalogram (EEG), surface electromyography (sEMG), and eye tracking (ET) signals are widely used to decode human intention, promoting the development of human-computer interaction systems. Extensive ...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Estimating the individuals' potential response to varying treatment doses is crucial for decision-making in areas such as precision medicine and management science. Most recent studies predict counterfactual outcomes by learning a covariate represent...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Monocular depth estimation (MDE) has long been a popular and challenging task. Currently, mainstream methods mainly include regression methods based on geometric constraints and ordinal regression methods based on discretized depth intervals. However...
Magnetic resonance imaging
Sep 1, 2025
High-resolution magnetic resonance angiography (∼ 50 μm MRA) data plays a critical role in the accurate diagnosis of various vascular disorders. However, it is very challenging to acquire, and it is susceptible to artifacts and noise which limits its...
Water research
Sep 1, 2025
A robust physics-informed neural network (PINN) approach is developed to accurately predict pressure and flow velocity during the water hammer event, while an experimental system is designed to validate the proposed approach further. Compared to forw...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Motor control requires sensory feedback, and the nature of this feedback has implications for the tasks of the central nervous system (CNS): for an approximately linear mechanical system (e.g., a freely standing person, a rider on a bicycle), if the ...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
This paper presents the D-type distributed iterative learning control protocol to synchronize fractional-order competitive neural networks with time delay within a finite time frame. Firstly, the input sharing strategy of such desired competitive neu...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Few-shot object detection is a challenging task that aims to quickly adapt detectors to detect novel objects with only a minimal number of annotated examples. Although promising results have been achieved, performance still declines significantly whe...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Polyp segmentation is critical in medical image analysis. Traditional methods, while capable of producing precise outputs in well-defined regions, often struggle with blurry or ambiguous areas in medical images, which can lead to errors in clinical d...
Neural networks : the official journal of the International Neural Network Society
Sep 1, 2025
Achieving visual reasoning is a long-term goal of artificial intelligence. In the last decade, several studies have applied deep neural networks (DNNs) to the task of learning visual relations from images, with modest results in terms of generalizati...