AIMC Topic: Diffusion

Clear Filters Showing 21 to 30 of 136 articles

ERSegDiff: a diffusion-based model for edge reshaping in medical image segmentation.

Physics in medicine and biology May 14, 2024
Medical image segmentation is a crucial field of computer vision. Obtaining correct pathological areas can help clinicians analyze patient conditions more precisely. We have observed that both CNN-based and attention-based neural networks often produ...
Humans COVID-19 Image Processing, Computer-Assisted Neural Networks, Computer Diffusion
View on PubMed DOI

Performance of Fourier-based activation function in physics-informed neural networks for patient-specific cardiovascular flows.

Computer methods and programs in biomedicine Feb 22, 2024
BACKGROUND AND OBJECTIVES: Physics-informed neural networks (PINNs) can be used to inversely model complex physical systems by encoding the governing partial differential equations and training data into the neural network. However, neural networks a...
Physics Neural Networks, Computer Aorta Humans Diffusion Constriction, Pathologic
View on PubMed DOI

Machine learning for data-driven design of high-safety lithium metal anode.

STAR protocols Jan 9, 2024
Here, we present a protocol for developing an inorganic-organic hybrid interphase layer using the self-assembled monolayers technique to enhance the surface of the lithium metal anode. We describe steps for extracting organic molecules from open-sour...
Machine Learning Databases, Factual Diffusion Electrodes Lithium
View on PubMed DOI

De novo design of high-affinity binders of bioactive helical peptides.

Nature Dec 18, 2023
Many peptide hormones form an α-helix on binding their receptors, and sensitive methods for their detection could contribute to better clinical management of disease. De novo protein design can now generate binders with high affinity and specificity ...
Glucagon Deep Learning Computer-Aided Design Mass Spectrometry Biosensing Techniques Peptides Models, Molecular Luminescent Measurements Parathyroid Hormone Proteins Protein Structure, Secondary Diffusion Substrate Specificity
View on PubMed DOI

SPIN-CGNN: Improved fixed backbone protein design with contact map-based graph construction and contact graph neural network.

PLoS computational biology Dec 7, 2023
Recent advances in deep learning have significantly improved the ability to infer protein sequences directly from protein structures for the fix-backbone design. The methods have evolved from the early use of multi-layer perceptrons to convolutional ...
Cluster Analysis Amino Acids Neural Networks, Computer Amino Acid Sequence Diffusion
View on PubMed DOI

Memristor-induced hyperchaos, multiscroll and extreme multistability in fractional-order HNN: Image encryption and FPGA implementation.

Neural networks : the official journal of the International Neural Network Society Dec 5, 2023
Fractional-order differentiation (FOD) can record information from the past, present, and future. Compared with integer-order systems, FOD systems have higher complexity and more accurate ability to describe the real world. In this paper, two types o...
Neurons Entropy Knowledge Neural Networks, Computer Diffusion
View on PubMed DOI

Event-triggered impulsive cluster synchronization of coupled reaction-diffusion neural networks and its application to image encryption.

Neural networks : the official journal of the International Neural Network Society Nov 10, 2023
This paper investigates the cluster synchronization of coupled neural networks with reaction-diffusion terms. With the help of impulsive control strategies, some cluster synchronization criteria are proposed by an appropriate event-triggered mechanis...
Neural Networks, Computer Diffusion Time Factors Algorithms
View on PubMed DOI

Preassigned-time synchronization for complex-valued memristive neural networks with reaction-diffusion terms and Markov parameters.

Neural networks : the official journal of the International Neural Network Society Nov 7, 2023
This study addresses the preassigned-time synchronization for complex-valued memristive neural networks with reaction-diffusion terms and Markov parameters. Employing a preassigned-time stable control strategy, two distinct controllers with varying p...
Diffusion Neural Networks, Computer Time Factors
View on PubMed DOI

Inferring pointwise diffusion properties of single trajectories with deep learning.

Biophysical journal Oct 17, 2023
To characterize the mechanisms governing the diffusion of particles in biological scenarios, it is essential to accurately determine their diffusive properties. To do so, we propose a machine-learning method to characterize diffusion processes with t...
Diffusion Deep Learning
View on PubMed DOI

Double graph correlation encryption based on hyperchaos.

PloS one Sep 28, 2023
Preventing unauthorized access to sensitive data has always been one of the main concerns in the field of information security. Accordingly, various solutions have been proposed to meet this requirement, among which encryption can be considered as on...
Correlation of Data Confusion Artificial Intelligence Entropy Diffusion Humans
View on PubMed DOI
Popular Topics
Recent Journals