AIMC Topic:
Computer Simulation

Clear Filters Showing 1931 to 1940 of 3855 articles

Logistic regression with image covariates via the combination of L1 and Sobolev regularizations.

PloS one Jun 26, 2020
The use of image covariates to build a classification model has lots of impact in various fields, such as computer science, medicine, and so on. The aim of this paper is to develop an estimation method for logistic regression model with image covaria...
Phantoms, Imaging Image Processing, Computer-Assisted Logistic Models Likelihood Functions Machine Learning Computer Simulation
View on PubMed DOI

Development of neural fractional order PID controller with emulator.

ISA transactions Jun 25, 2020
This paper focuses on tuning parameters of fractional order PID controller (FOPID) by using neural networks (NNs). For tuning the coefficients of the controller and orders of fractional derivative and integrator, five exclusive NNs are employed. More...
Computer Simulation Neural Networks, Computer Feedback Algorithms
View on PubMed DOI

IConMHC: a deep learning convolutional neural network model to predict peptide and MHC-I binding affinity.

Immunogenetics Jun 24, 2020
Tumor-specific neoantigens are mutated self-peptides presented by tumor cell major histocompatibility complex (MHC) molecules and are necessary to elicit host's anti-cancer cytotoxic T cell responses. It could be specifically recognized by neoantigen...
Histocompatibility Antigens Class I Amino Acid Sequence Peptides Antigens, Neoplasm Deep Learning Humans Databases, Protein Protein Binding Alleles Neural Networks, Computer Computer Simulation Reproducibility of Results
View on PubMed DOI

NeuroConstruct-based implementation of structured-light stimulated retinal circuitry.

BMC neuroscience Jun 24, 2020
BACKGROUND: Retinal circuitry provides a fundamental window to neural networks, featuring widely investigated visual phenomena ranging from direction selectivity to fast detection of approaching motion. As the divide between experimental and theoreti...
Models, Neurological Synapses Retinal Ganglion Cells Neural Inhibition Neural Networks, Computer Dendrites Visual Pathways Motion Perception Computer Simulation Amacrine Cells Animals
View on PubMed DOI

Artificial intelligence-based collaborative filtering method with ensemble learning for personalized lung cancer medicine without genetic sequencing.

Pharmacological research Jun 23, 2020
In personalized medicine, many factors influence the choice of compounds. Hence, the selection of suitable medicine for patients with non-small-cell lung cancer (NSCLC) is expensive. To shorten the decision-making process for compounds, we propose a ...
Apoptosis Cost-Benefit Analysis Computer Simulation Animals Lung Neoplasms Humans Precision Medicine Artificial Intelligence Antineoplastic Agents Carcinoma, Non-Small-Cell Lung Clinical Decision-Making Algorithms Cell Line, Tumor Cell Movement Databases, Factual
View on PubMed DOI

Generative adversarial network based regularized image reconstruction for PET.

Physics in medicine and biology Jun 23, 2020
Positron emission tomography (PET) is an ill-posed inverse problem and suffers high noise due to limited number of detected events. Prior information can be used to improve the quality of reconstructed PET images. Deep neural networks have also been ...
Humans Image Processing, Computer-Assisted Positron-Emission Tomography Monte Carlo Method Neural Networks, Computer Databases, Factual Computer Simulation
View on PubMed DOI

Machine Estimation of Drug Melting Properties and Influence on Solubility Prediction.

Molecular pharmaceutics Jun 19, 2020
There has been much recent interest in machine learning (ML) and molecular quantitative structure property relationships (QSPR). The present research evaluated modern ML-based methods implemented in commercial software (COSMOquick and Molecular Model...
Transition Temperature Computer Simulation Thermodynamics Water Calorimetry, Differential Scanning Models, Molecular Machine Learning Models, Chemical Freezing Software Pharmaceutical Preparations Quantitative Structure-Activity Relationship Algorithms Solubility
View on PubMed DOI

SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing.

International journal of computer assisted radiology and surgery Jun 18, 2020
PURPOSE: In the field of medical image analysis, deep learning methods gained huge attention over the last years. This can be explained by their often improved performance compared to classic explicit algorithms. In order to work well, they need larg...
Deep Learning Ultrasonography Image Processing, Computer-Assisted Databases, Factual Computer Simulation Diagnosis, Computer-Assisted Normal Distribution Humans Neural Networks, Computer Software Algorithms
View on PubMed DOI

Development of Deep Learning Models for Predicting the Effects of Exposure to Engineered Nanomaterials on Daphnia magna.

Small (Weinheim an der Bergstrasse, Germany) Jun 17, 2020
This study presents the results of applying deep learning methodologies within the ecotoxicology field, with the objective of training predictive models that can support hazard assessment and eventually the design of safer engineered nanomaterials (E...
Deep Learning Water Pollutants, Chemical Nanostructures Computer Simulation Animals Daphnia Ecotoxicology
View on PubMed DOI

A new Lyapunov functional for stability analysis of neutral-type Hopfield neural networks with multiple delays.

Neural networks : the official journal of the International Neural Network Society Jun 16, 2020
This research paper conducts an investigation into the stability issue for a more general class of neutral-type Hopfield neural networks that involves multiple time delays in the states of neurons and multiple neutral delays in the time derivatives o...
Time Factors Neurons Neural Networks, Computer Algorithms Computer Simulation
View on PubMed DOI
Popular Topics
Recent Journals