Comprehensive review on detection and classification of power quality disturbances in utility grid with renewable energy penetration

GS Chawda, AG Shaik, M Shaik, S Padmanaban… - IEEE …, 2020 - ieeexplore.ieee.org
The global concern with power quality is increasing due to the penetration of renewable
energy (RE) sources to cater the energy demands and meet de-carbonization targets. Power …

Sequential three-way decisions in efficient classification of piecewise stationary speechsignals

AV Savchenko - Rough Sets: International Joint Conference, IJCRS …, 2017 - Springer
In this paper it is proposed to improve performance of the automatic speech recognition by
using sequential three-way decisions. At first, the largest piecewise quasi-stationary …

Design and Implementation of a Speller based on EMG Signal

PMS Prasad, R Swarnkar, MF Hashmi… - International Journal of …, 2017 - Springer
A speller is a communication device designed for those suffering from neuromuscular
disorders having difficulty to speak. An EMG based design is proposed which uses eye …

[PDF][PDF] 基于1DCNN-BiLSTM-BiGRU 的电能质量扰动分类方法

王立辉, 柯泳, 苏如开 - 电气技术 - dqjs.cesmedia.cn
摘要为了应对电能质量扰动(PQD) 识别中噪声干扰导致的识别率下降问题,
本文提出一种基于一维卷积神经网络(1DCNN)-双向长短期记忆(BiLSTM) 网络 …

Combination of k-means with naïve bayes classifier in the process of image classification

MR Wayahdi, MS Lydia - IOP Conference Series: Materials …, 2020 - iopscience.iop.org
In this paper, the data which has been tested is the image of bananas extracted based on
the colour characteristics and statistics, namely red, green, blue, hue, saturation, value …

Feasibility of Time Domain Analysis for Classification of Non-Stationary Signals

TTM Delsy, NM Nandhitha… - 2023 Fifth International …, 2023 - ieeexplore.ieee.org
Extensive research is carried out in classifying non stationary signals as normal or
abnormal. Considerable research is carried out in applying various transforms namely …

Time-time analysis of electroencephalogram signals for epileptic seizure detection

P Sheoran, JS Saini - International Journal of Biomedical …, 2019 - inderscienceonline.com
The detection and classification of epileptic seizures using the electroencphalogram (EEG)
signals has been actively worked upon by the researchers from past few decades. This …

Supervise Learning With Copulas

X Shen, RL Ewing, J Li - 2019 IEEE National Aerospace and …, 2019 - ieeexplore.ieee.org
The naïve Bayes classifier plays an important role among the classifiers based on
supervised learning, although it requires strong condition on the feature independence …