AIMC Topic: Stochastic Processes

Clear Filters Showing 111 to 120 of 251 articles

Cost-effective stochastic MAC circuits for deep neural networks.

Neural networks : the official journal of the International Neural Network Society May 20, 2019
Stochastic computing (SC) is a promising computing paradigm that can help address both the uncertainties of future process technology and the challenges of efficient hardware realization for deep neural networks (DNNs). However the impreciseness and ...
Neural Networks, Computer Computer Systems Stochastic Processes
View on PubMed DOI

A novel ECG signal compression method using spindle convolutional auto-encoder.

Computer methods and programs in biomedicine Apr 17, 2019
BACKGROUND AND OBJECTIVES: With rapid development of telehealth system and cloud platform, traditional 12-ECG signals with high resolution generate heavy burdens in data storage and transmission. This problem is increasingly addressed with various EC...
Electrocardiography Models, Statistical Signal Processing, Computer-Assisted Algorithms Deep Learning Data Compression Telemedicine Stochastic Processes Humans Software
View on PubMed DOI

Stochastic frontier analysis as knowledge-based model to improve sparing of organs-at-risk for VMAT-treated prostate cancer.

Physics in medicine and biology Apr 8, 2019
Stochastic frontier analysis (SFA) is used as a novel knowledge-based technique in order to develop a predictive model of dosimetric features from significant geometric parameters describing a patient morphology. 406 patients treated with VMAT for pr...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Knowledge Bases Organs at Risk Stochastic Processes Radiometry Humans Male Prostatic Neoplasms
View on PubMed DOI

Stability of stochastic impulsive reaction-diffusion neural networks with S-type distributed delays and its application to image encryption.

Neural networks : the official journal of the International Neural Network Society Apr 4, 2019
In this paper, we study stochastic impulsive reaction-diffusion neural networks with S-type distributed delays, aiming to obtain the sufficient conditions for global exponential stability. First, an impulsive inequality involving infinite delay is in...
Humans Neural Networks, Computer Computer Security Stochastic Processes Diffusion Algorithms Pattern Recognition, Automated Time Factors
View on PubMed DOI

Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms.

Computational and mathematical methods in medicine Mar 3, 2019
Mammography is successfully used as an effective screening tool for cancer diagnosis. A calcification cluster on mammography is a primary sign of cancer. Early researches have proved the diagnostic value of the calcification, yet their performance is...
Breast Breast Neoplasms Prognosis Calcinosis Middle Aged Stochastic Processes Software Image Processing, Computer-Assisted Humans Mammography Female Deep Learning Algorithms Early Detection of Cancer Neural Networks, Computer Aged Biopsy Adult Reproducibility of Results Young Adult Sensitivity and Specificity
View on PubMed DOI

Improved result on state estimation for complex dynamical networks with time varying delays and stochastic sampling via sampled-data control.

Neural networks : the official journal of the International Neural Network Society Feb 22, 2019
This paper investigates state estimation for complex dynamical networks (CDNs) with time-varying delays by using sampled-data control. For the simplicity of technical development, only two different sampling periods are considered whose occurrence pr...
Stochastic Processes Binomial Distribution Neural Networks, Computer Time Factors
View on PubMed DOI

Compact Hardware Synthesis of Stochastic Spiking Neural Networks.

International journal of neural systems Feb 8, 2019
Spiking neural networks (SNN) are able to emulate real neural behavior with high confidence due to their bio-inspired nature. Many designs have been proposed for the implementation of SNN in hardware, although the realization of high-density and biol...
Machine Learning Computers Neural Networks, Computer Stochastic Processes Action Potentials Pattern Recognition, Automated
View on PubMed DOI

Adaptive Neural Control of a Class of Stochastic Nonlinear Uncertain Systems With Guaranteed Transient Performance.

IEEE transactions on cybernetics Feb 1, 2019
In this paper, an adaptive neural network control for stochastic nonlinear systems with uncertain disturbances is proposed. The neural network is considered to approximate an uncertain function in a nonlinear system. And computational burden in opera...
Computer Simulation Nonlinear Dynamics Stochastic Processes Neural Networks, Computer
View on PubMed DOI

A stochastic variational framework for Recurrent Gaussian Processes models.

Neural networks : the official journal of the International Neural Network Society Feb 1, 2019
Gaussian Processes (GPs) models have been successfully applied to the problem of learning from sequential observations. In such context, the family of Recurrent Gaussian Processes (RGPs) have been recently introduced with a specifically designed stru...
Normal Distribution Bayes Theorem Stochastic Processes Algorithms Neural Networks, Computer Learning
View on PubMed DOI

A Recursive Approach to Quantized H State Estimation for Genetic Regulatory Networks Under Stochastic Communication Protocols.

IEEE transactions on neural networks and learning systems Jan 16, 2019
This paper deals with the finite-horizon quantized H state estimation problem for a class of discrete time-varying genetic regulatory networks with quantization effects under stochastic communication protocols (SCPs). To better reflect the data-drive...
Gene Regulatory Networks Stochastic Processes Humans Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals