AIMC Topic: Time Factors

Clear Filters Showing 1921 to 1930 of 2001 articles

Pavement type and wear condition classification from tire cavity acoustic measurements with artificial neural networks.

The Journal of the Acoustical Society of America
Tire road noise is the major contributor to traffic noise, which leads to general annoyance, speech interference, and sleep disturbances. Standardized methods to measure tire road noise are expensive, sophisticated to use, and they cannot be applied ...

Auditory feature representation using convolutional restricted Boltzmann machine and Teager energy operator for speech recognition.

The Journal of the Acoustical Society of America
In this letter, authors propose an auditory feature representation technique with the filterbank learned using an annealing dropout convolutional restricted Boltzmann machine (ConvRBM) and noise-robust energy estimation using the Teager energy operat...

THE USE OF EXTRACTS FROM PASSIFLORA SPP. IN HELPING THE TREATMENT OF ACANTHAMOEBIASIS.

Acta poloniae pharmaceutica
Chronic progressive diseases of the central nervous system such as granulomatous amoebic encephalitis, amoebic keratitis, amoebic pneumonitis and also skin infections caused by free-living amoebae (Acanhamoeba spp.) are a significant challenge for ph...

Caspofungin infusion solutions (50 mg/100 mL): chemical stability and antifungal activity against Candida spp.

Die Pharmazie
BACKGROUND: Ready to use caspofungin infusion bags are centrally prepared in the Hospital Pharmacy, University Hospital of Heidelberg, for economic reasons and possibly occurring problems with drug shortages. The aim of this study was a quality contr...

Machine-Learning Algorithms Predict Graft Failure After Liver Transplantation.

Transplantation
BACKGROUND: The ability to predict graft failure or primary nonfunction at liver transplant decision time assists utilization of scarce resource of donor livers, while ensuring that patients who are urgently requiring a liver transplant are prioritiz...

ACTIVITY OF BLACKCURRANT AND CHOKEBERRY EXTRACTS AND TWO MAJOR CYANIDIN GLYCOSIDES AGAINST LIPID MEMBRANE OXIDATION AND THEIR BINDING PROPERTIES TO ALBUMIN.

Acta poloniae pharmaceutica
The purpose of this study was to explain how extracts from chokeberry and blackcurrant interact with the lipid phase of biological membrane and with human albumin - the main protein of blood. Aiming at better understanding of the observed biological ...

Predicting the perception of performed dynamics in music audio with ensemble learning.

The Journal of the Acoustical Society of America
By varying the dynamics in a musical performance, the musician can convey structure and different expressions. Spectral properties of most musical instruments change in a complex way with the performed dynamics, but dedicated audio features for model...

Restoring speech following total removal of the larynx by a learned transformation from sensor data to acoustics.

The Journal of the Acoustical Society of America
Total removal of the larynx may be required to treat laryngeal cancer: speech is lost. This article shows that it may be possible to restore speech by sensing movement of the remaining speech articulators and use machine learning algorithms to derive...

Reliable bearing fault diagnosis using Bayesian inference-based multi-class support vector machines.

The Journal of the Acoustical Society of America
This letter presents a multi-fault diagnosis scheme for bearings using hybrid features extracted from their acoustic emissions and a Bayesian inference-based one-against-all support vector machine (Bayesian OAASVM) for multi-class classification. The...