The emotive manifestation of a news anchor ought not to be arbitrary, but rather meticulously crafted and refined elicit more coherent emotional response. Hence, the identification appropriate disposition during broadcasts constitutes meritorious domain inquiry. To address concerns related imprecise extraction speech features intricate detection states in broadcasting, this study presents an in...

Gas hydrate often occurs in natural gas pipelines and process equipment at high pressure and low temperature. Methanol as a hydrate inhibitor injects to the potential hydrate systems and then recovers from the gas phase and re-injects to the system. Since methanol loss imposes an extra cost on the gas processing plants, designing a process for its reduction is necessary. In this study, an accur...

In this paper, a probabilistic neural network (PNN) based classifier is used to judge the static security of the power system. The proposed classifier classifies the security of the power system based on the voltage profile of each bus in reference to changes in the generation and load profile in the system. The probabilistic neural network is used and compared with the radial basis function ne...

This paper presents a new classification scheme for the automatic detection of QRS-boundaries in Electrocardiogram (ECG) using Probabilistic Neural Networks (PNN). Digital filtering techniques are used to remove power line interference and baseline wander present in the ECG signal. PNN is used as a classifier to delineate QRS and non-QRSregions in single-lead ECG signal. The algorithm is implem...

Feature extraction and accurate classification of the emotion-related EEG-characteristics have a key role in success of emotion recognition systems. In this paper, an optimal EEG-based emotion recognition algorithm based on spectral features and neural network classifiers is proposed. In this algorithm, spectral, spatial and temporal features are selected from the emotion-related EEG signals by...

This paper proposes a new hybrid method named SCFE-PNN, which integrates effective subtractive clustering based features enhancement and probabilistic neural network (PNN) classifier, had been introduced for isolated Malay word recognition. The proposed method of subtractive clustering features weighting is used as a data preprocessing tool, which designs at diminishing the divergence in featur...

An approach for Fusarium diseased corn kernels recognition based on wavelet continuous transformation and probabilistic neural network (PNN) classification is presented in the paper. The near infrared diffuse reflectance characteristics are used as base for features extraction. The spectral data are fitted using continuous wavelet mexican hat transformations and their parameters are used for cl...

This paper presents a prototype implementation of arrhythmia classification using Probabilistic neural network (PNN). Arrhythmia is an irregular heartbeat, resulting in severe heart problems if not diagnosed early. Therefore, accurate and robust vital task for cardiac patients. The ECG has been performed PNN into eight classes unique combination six features: rate, spectral entropy, 4th order a...