Deciding on a fuzzy environment faces many difficulties due to the lack of accuracy in data
or permanently changing data. Fuzzy linear programming is one of the best methods used in …

The aim of this experimental study was investigation and fabrication of sisal and banana
fiber that are been added with tamarind seed powder reinforced composites that may use in …

Using KNN Classifier against Linear Regression, we want to identify the flower and then
publish its name beside it on the same picture. The 17flowers dataset at VGP (Visual …

The focus of this study is on developing a new kind of Multiple Input Multiple Output (MIMO)
antenna with a slotted rectangular T-shape on a FR4 epoxy substrate, with the goal of …

The core of this work presents an assembly method of EEG signals for the early detection of
brain tumors using a novel support vector machine (SVM) algorithm compared with a …

The main objective of this research is to compare the sodium (Na) concentration present in
human seminal plasma of various infertile conditions and normospermia semen samples for …

The purpose of this study was to investigate how feature extraction strategies like GLRLM
and SIFT affect artificial neural network-based cancer classification models. To enhance …

In this investigation, we compare the performance of the state-of-the-art ANN algorithm for
vehicle detection with the more conventional SVM algorithm. Twenty representatives were …

The goal of this study is to determine how to minimize tool wear (TW) when turning die steel
with advanced novel inserts such as Cubic Boron Nitride (CBN) and Polycrystalline …

The purpose of this study is to increase the compressive strength of a new composite made
of coir fibre reinforced aluminium composite combined with scenedesmusdimorphus filler …