AIMC Topic: Computer Simulation

Clear Filters Showing 541 to 550 of 3892 articles

A lightweight and gradient-stable neural layer.

Neural networks : the official journal of the International Neural Network Society Mar 26, 2024
To enhance resource efficiency and model deployability of neural networks, we propose a neural-layer architecture based on Householder weighting and absolute-value activating, called Householder-absolute neural layer or simply Han-layer. Compared to ...
Computer Simulation Neural Networks, Computer Humans Neurons Algorithms
View on PubMed DOI

Model-agnostic explanations for survival prediction models.

Statistics in medicine Mar 26, 2024
Advanced machine learning methods capable of capturing complex and nonlinear relationships can be used in biomedical research to accurately predict time-to-event outcomes. However, these methods have been criticized as "black boxes" that are not inte...
Male Models, Statistical Survival Analysis Prostatic Neoplasms Machine Learning Computer Simulation Humans
View on PubMed DOI

Security challenges by AI-assisted protein design : The ability to design proteins in silico could pose a new threat for biosecurity and biosafety.

EMBO reports Mar 26, 2024
Scientists and security experts are concerned that the increasing power of AI-assisted protein design and synthesis could be abused by various actors for terrorist or criminal purposes. [Image: see text]
Artificial Intelligence Computer Simulation Proteins Protein Engineering Humans Security Measures
View on PubMed DOI

Optimizing neural network algorithms for submerged membrane bioreactor: A comparative study of OVAT and RSM hyperparameter optimization techniques.

Water science and technology : a journal of the International Association on Water Pollution Research Mar 26, 2024
Hyperparameter tuning is an important process to maximize the performance of any neural network model. This present study proposed the factorial design of experiment for screening and response surface methodology to optimize the hyperparameter of two...
Computer Simulation Neural Networks, Computer Bioreactors Algorithms
View on PubMed DOI

Predefined-time distributed optimization and anti-disturbance control for nonlinear multi-agent system with neural network estimator: A hierarchical framework.

Neural networks : the official journal of the International Neural Network Society Mar 25, 2024
This paper addresses the predefined-time distributed optimization of nonlinear multi-agent system using a hierarchical control approach. Considering unknown nonlinear functions and external disturbances, we propose a two-layer hierarchical control fr...
Nonlinear Dynamics Time Factors Robotics Neural Networks, Computer Algorithms Computer Simulation
View on PubMed DOI

Amount Estimation Method for Food Intake Based on Color and Depth Images through Deep Learning.

Sensors (Basel, Switzerland) Mar 22, 2024
In this paper, we propose an amount estimation method for food intake based on both color and depth images. Two pairs of color and depth images are captured pre- and post-meals. The pre- and post-meal color images are employed to detect food types an...
Computer Simulation Eating Food Deep Learning Postprandial Period
View on PubMed DOI

Unpaired deep learning for pharmacokinetic parameter estimation from dynamic contrast-enhanced MRI without AIF measurements.

NeuroImage Mar 20, 2024
DCE-MRI provides information about vascular permeability and tissue perfusion through the acquisition of pharmacokinetic parameters. However, traditional methods for estimating these pharmacokinetic parameters involve fitting tracer kinetic models, w...
Contrast Media Magnetic Resonance Imaging Image Enhancement Reproducibility of Results Deep Learning Algorithms Computer Simulation Humans
View on PubMed DOI

Predictive Modelling in pharmacokinetics: from in-silico simulations to personalized medicine.

Expert opinion on drug metabolism & toxicology Mar 20, 2024
INTRODUCTION: Pharmacokinetic parameters assessment is a critical aspect of drug discovery and development, yet challenges persist due to limited training data. Despite advancements in machine learning and in-silico predictions, scarcity of data hamp...
Drug Discovery Pharmacogenetics Reproducibility of Results Drug Design Humans Pharmaceutical Preparations Models, Biological Artificial Intelligence Pharmacokinetics Machine Learning Drug Development Computer Simulation Models, Molecular Precision Medicine
View on PubMed DOI

Global prediction of extreme floods in ungauged watersheds.

Nature Mar 20, 2024
Floods are one of the most common natural disasters, with a disproportionate impact in developing countries that often lack dense streamflow gauge networks. Accurate and timely warnings are critical for mitigating flood risks, but hydrological simula...
Reproducibility of Results Time Factors Forecasting Computer Simulation Disaster Planning Floods Hydrology Rivers Calibration Artificial Intelligence
View on PubMed DOI

A hybrid neural ordinary differential equation model of the cardiovascular system.

Journal of the Royal Society, Interface Mar 20, 2024
In the human cardiovascular system (CVS), the interaction between the left and right ventricles of the heart is influenced by the septum and the pericardium. Computational models of the CVS can capture this interaction, but this often involves approx...
Computer Simulation Humans Heart Ventricles Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals