AIMC Topic: Neural Networks, Computer

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Masked cross-domain self-supervised deep learning framework for photoacoustic computed tomography reconstruction.

Neural networks : the official journal of the International Neural Network Society Jul 7, 2024
Accurate image reconstruction is crucial for photoacoustic (PA) computed tomography (PACT). Recently, deep learning has been used to reconstruct PA images with a supervised scheme, which requires high-quality images as ground truth labels. However, p...
Deep Learning Supervised Machine Learning Image Processing, Computer-Assisted Photoacoustic Techniques Mice Tomography, X-Ray Computed Neural Networks, Computer Animals Algorithms
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Predicting the Arousal and Valence Values of Emotional States Using Learned, Predesigned, and Deep Visual Features.

Sensors (Basel, Switzerland) Jul 7, 2024
The cognitive state of a person can be categorized using the circumplex model of emotional states, a continuous model of two dimensions: arousal and valence. The purpose of this research is to select a machine learning model(s) to be integrated into ...
Emotions Arousal Female Adult Deep Learning Virtual Reality Male Humans Neural Networks, Computer Machine Learning
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Improving prediction of blood cancer using leukemia microarray gene data and Chi2 features with weighted convolutional neural network.

Scientific reports Jul 7, 2024
Blood cancer has emerged as a growing concern over the past decade, necessitating early diagnosis for timely and effective treatment. The present diagnostic method, which involves a battery of tests and medical experts, is costly and time-consuming. ...
Machine Learning Algorithms Hematologic Neoplasms Humans Neural Networks, Computer Oligonucleotide Array Sequence Analysis Leukemia Gene Expression Profiling Supervised Machine Learning
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ConKeD: multiview contrastive descriptor learning for keypoint-based retinal image registration.

Medical & biological engineering & computing Jul 6, 2024
Retinal image registration is of utmost importance due to its wide applications in medical practice. In this context, we propose ConKeD, a novel deep learning approach to learn descriptors for retinal image registration. In contrast to current regist...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Retina Retinal Vessels Algorithms Deep Learning
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Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization.

Neural networks : the official journal of the International Neural Network Society Jul 6, 2024
Shuffling-type gradient method is a popular machine learning algorithm that solves finite-sum optimization problems by randomly shuffling samples during iterations. In this paper, we explore the convergence properties of shuffling-type gradient metho...
Algorithms Neural Networks, Computer Machine Learning
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PLEASING: Exploring the historical and potential events for temporal knowledge graph reasoning.

Neural networks : the official journal of the International Neural Network Society Jul 6, 2024
Temporal Knowledge Graphs (TKGs) enable effective modeling of knowledge dynamics and event evolution, facilitating deeper insights and analysis into temporal information. Recently, extrapolation of TKG reasoning has attracted great significance due t...
Humans Neural Networks, Computer Algorithms Semantics Time Factors Machine Learning Knowledge
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A Delayed Spiking Neural Membrane System for Adaptive Nearest Neighbor-Based Density Peak Clustering.

International journal of neural systems Jul 6, 2024
Although the density peak clustering (DPC) algorithm can effectively distribute samples and quickly identify noise points, it lacks adaptability and cannot consider the local data structure. In addition, clustering algorithms generally suffer from hi...
Algorithms Cluster Analysis Action Potentials Neurons Models, Neurological Humans Neural Networks, Computer
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Analyzing speed-difference impact on freeway joint injury severities of Leading-Following vehicles using statistical and data-driven models.

Accident; analysis and prevention Jul 6, 2024
Rear-end (RE) crashes are notably prevalent and pose a substantial risk on freeways. This paper explores the correlation between speed difference among the following and leading vehicles (Δν) and RE crash risk. Three joint models, comprising both unc...
Trauma Severity Indices Humans Support Vector Machine Accidents, Traffic Models, Statistical Wounds and Injuries Neural Networks, Computer
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RevGraphVAMP: A protein molecular simulation analysis model combining graph convolutional neural networks and physical constraints.

Methods (San Diego, Calif.) Jul 6, 2024
Molecular dynamics simulation is a crucial research domain within the life sciences, focusing on comprehending the mechanisms of biomolecular interactions at atomic scales. Protein simulation, as a critical subfield, often utilizes MD for implementat...
Humans Markov Chains Proteins Neural Networks, Computer Molecular Dynamics Simulation Deep Learning
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Prediction of Freezing of Gait in Parkinson's disease based on multi-channel time-series neural network.

Artificial intelligence in medicine Jul 6, 2024
Freezing of Gait (FOG) is a noticeable symptom of Parkinson's disease, like being stuck in place and increasing the risk of falls. The wearable multi-channel sensor system is an efficient method to predict and monitor the FOG, thus warning the wearer...
Gait Gait Disorders, Neurologic Humans Wearable Electronic Devices Parkinson Disease Aged Neural Networks, Computer Male Female Deep Learning
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