Big data analytics and artificial intelligence aspects for privacy and security concerns for demand response modelling in smart grid: A futuristic approach
Next generation electrical grid considered as Smart Grid has completely embarked a
journey in the present electricity era. This creates a dominant need of machine learning …
journey in the present electricity era. This creates a dominant need of machine learning …
A new transformerless quadratic buck–boost converter with high‐voltage gain ratio and continuous input/output current port
A new transformerless quadratic buck–boost converter with a common ground and a high‐
voltage gain ratio of D/(1− D) 2 is proposed in this study. The output and input currents of the …
voltage gain ratio of D/(1− D) 2 is proposed in this study. The output and input currents of the …
A novel transformer‐based ECG dimensionality reduction stacked auto‐encoders for arrhythmia beat detection
C Ding, S Wang, X Jin, Z Wang, J Wang - Medical Physics, 2023 - Wiley Online Library
Background Electrocardiogram (ECG) is a powerful tool for studying cardiac activity and
diagnosing various cardiovascular diseases, including arrhythmia. While machine learning …
diagnosing various cardiovascular diseases, including arrhythmia. While machine learning …
Improved voltage scanning algorithm based MPPT algorithm for PV systems under partial shading conduction
Abstract Maximum Power Point Tracking (MPPT) algorithms are crucial for maximizing
power extraction from photovoltaic (PV) systems. Traditional MPPT methods often exhibit …
power extraction from photovoltaic (PV) systems. Traditional MPPT methods often exhibit …
Hybrid FC & UC E-ANFIS controller in electric vehicle energy management
The renewable energy sources used in electric vehicle energy control are the trend that
leads to a reduction of the effect of global warming. The proposed hybrid fuel cell and ultra …
leads to a reduction of the effect of global warming. The proposed hybrid fuel cell and ultra …
RF power saving system for smart homes
M Sapurov, A Baskys, K Slivka, V Bleizgys, K Stasys… - Heliyon, 2024 - cell.com
In this work the investigation results of harvesting the RF energy of a 2.4 GHz Wi-Fi signal for
supply of smart home leak sensors network are presented. The collected RF energy has …
supply of smart home leak sensors network are presented. The collected RF energy has …
Frequency control in an isolated wind‐diesel hybrid system with energy storage and an irrigation water supply system
JL Monroy‐Morales, R Peña‐Alzola… - IET Renewable …, 2024 - Wiley Online Library
Abstract Wind‐Diesel Hybrid Systems (WDHSs) integrate wind turbines into diesel power
systems, reducing costs and emissions in isolated grids. Due to the no‐load consumption of …
systems, reducing costs and emissions in isolated grids. Due to the no‐load consumption of …
Video object detection via space–time feature aggregation and result reuse
When detecting the objects in videos, motion always leads to object deterioration, like
blurring and occlusion, as well as the strange state of the object's shape and posture …
blurring and occlusion, as well as the strange state of the object's shape and posture …
Adsorption of CO over the Heusler alloy CrCoIrGa (001) surface: first-principles insights
In this study, the adsorption of CO molecule over (001) surface of the Heusler alloy
CrCoIrGa, has been investigated using DFT+ U calculations. It is demonstrated that, after …
CrCoIrGa, has been investigated using DFT+ U calculations. It is demonstrated that, after …
A Deep Learning-Based Algorithm for ECG Arrhythmia Classification
D Espin-Ramos, V Alvarado, EV Añazco… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
This paper aims to automatically classify five classes of arrhythmia present in
Electrocardiograms (ECG) by using two Deep Learning (DL)-based models. One based on …
Electrocardiograms (ECG) by using two Deep Learning (DL)-based models. One based on …