Fiber reinforced composites are replacing conventional materials for its nature of strength to
weight ratio and abundantly availability mainly for different manufacturing industries for …

The goal of this project is to use support vector clustering to enhance the performance of a
coronary heart disease detection model in comparison to the aXgboost Classifier …

Comparing the performance of triangular microstrip patch antennas on FR4 epoxy substrate
with that of typical rectangular microstrip antennas while operating at 5.8 GHz is the goal of …

The main aim of this study is to identify the shape variation of lungs which are affected by
COVID-19 with the help of Hough Transform and Radon transform features. The dataset is …

The objective of this research is to predict the loan sanction by comparing accuracy using
Support Vector Machine (SVM) and K-Nearest Neighbour algorithm (KNN). Materials and …

To study the impact of novel Canny edge detection with Gaussian Filtering method in vehicle
license plates for character recognition in comparison with Chan-vese edge detection …

This research evaluates the Logistic Regression (LR) and Random Forest (RF) algorithms,
two popular statistical approaches for long-term pollution forecasting. The Parts and …

One of the most used computer and storage technologies is cloud computing. This article's
objective is to offer an affordable and secure platform for the personnel management …

This research employs a novel approach to headcounting by comparing the performance of
the ANN algorithm with that of the SVM algorithm. To determine how many individuals are …

Aim: An existing microstrip antenna's return loss is compared to that of a newly designed,
tiny, dual-band ring-shaped antenna for usage in the k band area. Methods and materials …