AIMC Topic: Neural Networks, Computer

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RIVA: Efficient relational inference with variate attention.

Neural networks : the official journal of the International Neural Network Society Jun 21, 2025
Interactive systems are omnipresent across various domains, ranging from dynamic systems in physics to intricate societal dynamics. Relational inference aims to uncover implicit interactions between components based on observed system trajectories. E...
Neural Networks, Computer Algorithms Computer Simulation Attention Humans
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Unified semantic space learning for cross-modal retrieval.

Neural networks : the official journal of the International Neural Network Society Jun 21, 2025
With the increasing amount of multimodal data on the Internet, cross-modal retrieval has gradually become a hot research topic and has achieved significant progress, especially since graph convolutional networks were introduced. Most methods based on...
Machine Learning Information Storage and Retrieval Humans Neural Networks, Computer Semantics
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Shaping pre-trained language models for task-specific embedding generation via consistency calibration.

Neural networks : the official journal of the International Neural Network Society Jun 21, 2025
Pre-trained language models (PLMs) have shown significant success in various downstream tasks by providing initial parameters for task-specific fine-tuning. An inherent challenge of this approach is that adapting solely to downstream tasks may lead t...
Neural Networks, Computer Language Calibration Humans
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Learning multi-regularized mutation-aware correlation filter for object tracking via an adaptive hybrid model.

Neural networks : the official journal of the International Neural Network Society Jun 21, 2025
Discriminative Correlation Filters (DCF) have emerged as a popular and effective approach in object tracking. With promising performance and efficiency, DCF-based trackers achieved impressive attention and reliable tracking results in several challen...
Mutation Machine Learning Pattern Recognition, Automated Algorithms Humans Neural Networks, Computer
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SmartAlert: Machine learning-based patient-ventilator asynchrony detection system in intensive care units.

Computer methods and programs in biomedicine Jun 21, 2025
BACKGROUND AND OBJECTIVE: Patient-ventilator asynchronies (PVA) are associated with ventilator-induced lung injury and increased mortality. Current detection methods rely on static thresholds, extensive preprocessing, or proprietary ventilator data. ...
Reproducibility of Results Patient-Ventilator Asynchrony Ventilators, Mechanical Humans Machine Learning Respiration, Artificial Deep Learning Clinical Alarms Intensive Care Units Neural Networks, Computer ROC Curve
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Explainable artificial neural network as a soft sensor to predict the moisture content in a continuous granulation line.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences Jun 21, 2025
The application of artificial neural networks (ANNs) has the potential to fundamentally change the pharmaceutical industry, making manufacturing more agile, robust, efficient and reliable. Although ANNs' application as data-driven soft sensors has a ...
Neural Networks, Computer Spectroscopy, Near-Infrared Technology, Pharmaceutical Drug Compounding Water
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CNN-extracted features generate synthetic fMRI responses to unseen images.

Vision research Jun 21, 2025
Inspired by biological vision, convolutional neural networks (CNNs) have tackled challenging image recognition problems once considered the sole purview of human expertise. In turn, CNNs are now widely used as a framework for studying human vision. T...
Visual Cortex Magnetic Resonance Imaging Brain Mapping Neural Networks, Computer Image Processing, Computer-Assisted Humans
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SimTA++: Simple attention neural network for clinical asynchronous time series.

Neural networks : the official journal of the International Neural Network Society Jun 20, 2025
The task of modeling asynchronous time series data in clinical practice is a formidable challenge, made even more difficult by the multi-modal and irregular nature of real-world medical time series data. Despite advances in deep learning for sequenti...
Attention Time Factors Immunotherapy Neural Networks, Computer Humans Deep Learning
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Detection of breast cancer using fractional discrete sinc transform based on empirical Fourier decomposition.

Bio-medical materials and engineering Jun 20, 2025
Breast cancer is the most common cause of death among women worldwide. Early detection of breast cancer is important; for saving patients' lives. Ultrasound and mammography are the most common noninvasive methods for detecting breast cancer. Computer...
Female Humans Breast Sensitivity and Specificity Image Interpretation, Computer-Assisted Algorithms Neural Networks, Computer Fourier Analysis Databases, Factual Breast Neoplasms Mammography
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Spindle Autoencoder-CNN hybrid model for cardiac arrhythmia classification.

Computers in biology and medicine Jun 20, 2025
Cardiac arrhythmias, characterized by irregular heart function, disrupt normal blood circulation and are commonly detected using electrocardiograms (ECGs). ECG is widely preferred due to its cost-effectiveness, ease of application, and high reliabili...
Humans Neural Networks, Computer Databases, Factual Arrhythmias, Cardiac Autoencoder Electrocardiography Deep Learning Signal Processing, Computer-Assisted Convolutional Neural Networks
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