AIMC Topic: Computer Simulation

Clear Filters Showing 871 to 880 of 3899 articles

Introducing the Dendrify framework for incorporating dendrites to spiking neural networks.

Nature communications Jan 10, 2023
Computational modeling has been indispensable for understanding how subcellular neuronal features influence circuit processing. However, the role of dendritic computations in network-level operations remains largely unexplored. This is partly because...
Neurons Computer Simulation Dendrites Neural Networks, Computer
View on PubMed DOI

An Improved Adam Optimization Algorithm Combining Adaptive Coefficients and Composite Gradients Based on Randomized Block Coordinate Descent.

Computational intelligence and neuroscience Jan 10, 2023
An improved Adam optimization algorithm combining adaptive coefficients and composite gradients based on randomized block coordinate descent is proposed to address issues of the Adam algorithm such as slow convergence, the tendency to miss the global...
Motion Algorithms Computer Simulation Neural Networks, Computer
View on PubMed DOI

Two phases based training method for designing codewords for a set of perceptrons with each perceptron having multi-pulse type activation function.

Network (Bristol, England) Jan 10, 2023
This paper proposes a two phases-based training method to design the codewords to map the cluster indices of the input feature vectors to the outputs of the new perceptrons with the multi-pulse type activation functions. Our proposed method is applie...
Computer Simulation Heart Rate Algorithms Neural Networks, Computer
View on PubMed DOI

A Study on a Parameter Estimator for the Homodyned K Distribution Based on Table Search for Ultrasound Tissue Characterization.

Ultrasound in medicine & biology Jan 9, 2023
OBJECTIVE: The homodyned K (HK) distribution is considered to be the most suitable distribution in the context of tissue characterization; therefore, the search for a rapid and reliable parameter estimator for HK distribution is important.
Neural Networks, Computer Ultrasonography Computer Simulation
View on PubMed DOI

Application of machine learning to improve the efficiency of electrophysiological simulations used for the prediction of drug-induced ventricular arrhythmia.

Computer methods and programs in biomedicine Jan 9, 2023
BACKGROUND AND OBJECTIVE: In silico prediction of drug-induced ventricular arrhythmia often requires computationally intensive simulations, making its application tedious and non-interactive. This inconvenience can be mitigated using matrices of prec...
Action Potentials Arrhythmias, Cardiac Machine Learning Computer Simulation Humans
View on PubMed DOI

Elman Neural Network-Based Direct Lift Automatic Carrier Landing Nonsingular Terminal Sliding Mode Fault-Tolerant Control System Design.

Computational intelligence and neuroscience Jan 9, 2023
The purpose of this paper is to develop the control system using the Elman neural network (ENN) and nonsingular terminal sliding mode control (NTSMC) to improve the automatic landing capability of carrier-based aircraft based on direct lift control (...
Computer Simulation Aircraft Neural Networks, Computer Algorithms
View on PubMed DOI

Deep learning for x-ray scatter correction in dedicated breast CT.

Medical physics Jan 7, 2023
BACKGROUND: Accurate correction of x-ray scatter in dedicated breast computed tomography (bCT) imaging may result in improved visual interpretation and is crucial to achieve quantitative accuracy during image reconstruction and analysis.
Humans Tomography, X-Ray Computed Deep Learning Computer Simulation Algorithms Scattering, Radiation X-Rays Phantoms, Imaging Image Processing, Computer-Assisted Breast Cone-Beam Computed Tomography
View on PubMed DOI

Fault Identification and Localization of a Time-Frequency Domain Joint Impedance Spectrum of Cables Based on Deep Belief Networks.

Sensors (Basel, Switzerland) Jan 6, 2023
To improve the accuracy of shallow neural networks in processing complex signals and cable fault diagnosis, and to overcome the shortage of manual dependency and cable fault feature extraction, a deep learning method is introduced, and a time-frequen...
Electric Impedance Recognition, Psychology Computer Simulation Neural Networks, Computer
View on PubMed DOI

Gradient Tree Boosting for Hierarchical Data.

Multivariate behavioral research Jan 5, 2023
Gradient tree boosting is a powerful machine learning technique that has shown good performance in predicting a variety of outcomes. However, when applied to hierarchical (e.g., longitudinal or clustered) data, the predictive performance of gradient ...
Linear Models Bayes Theorem Machine Learning Computer Simulation Algorithms
View on PubMed DOI

Robotic Simulators for Tissue Examination Training With Multimodal Sensory Feedback.

IEEE reviews in biomedical engineering Jan 5, 2023
Tissue examination by hand remains an essential technique in clinical practice. The effective application depends on skills in sensorimotor coordination, mainly involving haptic, visual, and auditory feedback. The skills clinicians have to learn can ...
Computer Simulation Feedback Humans Feedback, Sensory Palpation Robotic Surgical Procedures Robotics
View on PubMed DOI
Popular Topics
Recent Journals