The photovoltaic (PV) system stands out as a viable energy source due to its environmental
friendliness and cleanliness. The conversion rate at which solar power generation is still …

The paper shows modeling of different number of diodes ie single diode model (SDM),
double diode model (DDM), and triple diode model (TDM) based PV system configuration …

Comprehension mistakes and frauds may both be detected via the analysis of advanced
metering information. By means of on-site examinations or even other techniques, the …

New trends were introduced in using PhotoVoltaic (PV) energy which are mostly attributable
to new laws internationally having a goal to decrease the usage of fossil fuels. The PV …

This research seeks to analyze the runtime of the Standard Innovative Carry Select Adder
algorithm by comparing it with Ripple Carry Adder (RCA). Two novel algorithms, the Ripple …

The primary goal of this research is to create a new machine learning method based on
Logistic Regression that has the ability to significantly enhance the accuracy of liver tumor …

Bit Error Rate (BER) forecasting is the primary aim of the study, which employs a Novel
Linear Regression method grounded on machine learning with the provided dataset. For …

Solar energy, specifically photovoltaic systems, has emerged as a prevalent source of
electrical power worldwide, gaining acceptance on many continents. While numerous …

The goal of this paper is an optimal FIR digital filter design to use the DRHS-OLLalgorithm to
minimize ripples in the frequency response of band stop FIR filters (magnitude and phase …

This paper aims to compare the efficiency of networks using random forest and gradient
boosting algorithms for efficient detection of Arrhythmia. The G power tool is used to …