Parkinson's disease (PD) is a neurodegenerative disorder. Hence, there is a tremendous
demand for adapting vocal features to determine PD in an earlier stage. This paper devises …

Electroencephalogram (EEG) signal is widely adapted for monitoring epilepsy to rejuvenate
the close-loop brain. Various conventional techniques are devised for identifying seizures …

Electroencephalogram (EEG) signal is mostly utilised to monitor epilepsy to revitalize the
close loop brain. Several classical methods devised to identify seizures rely on visual …

The probabilistic neural network (PNN) model is developed based on Bayesian criteria of
multivariate pattern classification. Because PNN has the advantages of low training …

Musical instrument classification, a key area in Music Information Retrieval, has gained
considerable interest due to its applications in education, digital music production, and …

Anchoring technology is widely used in slope, tunnels and underground engineering.
However, the rock bolt quality is still a hot problem which is difficult to solve. Considering the …

The automatic classification of music into genres is one of the most popular tasks in the
music information retrieval research area and it can be framed as a pattern recognition …

Most of the musical instrument identification systems that are now available are operated on
isolated notes of western musical instruments. But significant work is not yet done on Indian …

The proposed work investigates the impact of Mel Frequency Cepstral Coefficients (MFCC),
Chroma DCT Reduced Pitch (CRP), and Chroma Energy Normalized Statistics (CENS) for …

For musical data analysis and retrieval, instrument recognition plays an important role. It
helps in music search by instruments, makes music transcription easier and more accurate …