[HTML][HTML] Sensorless microcontroller-based zero-crossing detection system for AC signals using a rounding function

A Ali, MKM Desa, CA Ooi, SA Al-Gailani… - Ain Shams Engineering …, 2024 - Elsevier
Microcontroller-based methods for zero-crossing detection (ZCD) presented in the literature
employ external integrated circuits (ICs) to sense electrical signals, and their algorithms are …

Power quality disturbances classification using autoencoder and radial basis function neural network

V Veeramsetty, A Dhanush… - International Journal of …, 2024 - degruyter.com
The classification of power quality (PQ) disturbances is a critical task for both utilities and
industry. PQ issues cause power system equipment to fail. PQ disruptions also cause …

Zero crossing point detection in a distorted sinusoidal signal using decision tree classifier

V Veeramsetty, P Jadhav, E Ramesh… - Advances in Electrical …, 2023 - advances.vsb.cz
Zero-crossing point detection in a sinusoidal signal is essential in the case of various power
systems and power electronics applications like power system protection and power …

[HTML][HTML] Water quality assessment for aquaculture using deep neural network

R Arabelli, T Bernatin, V Veeramsetty - Desalination and Water Treatment, 2025 - Elsevier
Aquaculture is one of the promising sector for the economic growth of developing countries
like India. Exporting of fish based foods increasing gradually that raises Gross Domestic …

A Fruit Ripeness Detection Method using Adapted Deep Learning-based Approach

W Zhang - … Journal of Advanced Computer Science and …, 2023 - search.proquest.com
Fruit ripeness detection plays a crucial role in precise agriculture, enabling optimal
harvesting and post-harvest handling. Various methods have been investigated in the …

Zero crossing point detection in a distorted sinusoidal signal using random forest classifier

V Veeramsetty, P Jadhav, E Ramesh… - International Journal of …, 2024 - Springer
The identification of zero-crossing points in a sinusoidal signal is critical in a variety of
electrical applications, including protection of power system components and designing of …

Weather Forecasting Using Radial Basis Function Neural Network in Warangal, India

V Veeramsetty, P Kiran, M Sushma, SR Salkuti - Urban Science, 2023 - mdpi.com
Weather forecasting is an essential task in any region of the world for proper planning of
various sectors that are affected by climate change. In Warangal, most sectors, such as …

Design and implementation of analog tracking filter for ac signal acquisition

H Hu, H Shen - International Journal of Circuit Theory and …, 2024 - Wiley Online Library
This paper presents an analog tracking bandpass filter that is intended to be applied in ac
signal acquisition circuits to reduce measurement noise. A fast and accurate frequency …

Power Quality Disturbances Data Dimensionality Reduction Using Autoencoder

V Veeramsetty, A Dhanush, GR Krishna… - … Aspects of Emerging …, 2024 - Springer
Dimensionality reduction is an important techniques to reduce the size of the data in terms of
number of input features so that light weight models can be developed. In this paper, power …

Non-Zero Crossing Point Detection in a Distorted Sinusoidal Signal Using Logistic Regression Model

V Veeramsetty, S Srinivasula, SR Salkuti - Computers, 2022 - mdpi.com
Non-Zero crossing point detection in a sinusoidal signal is essential in case of various
power system and power electronics applications like power system protection and power …