The conventional approaches to determining the quality of water include costly and lengthy
statistical and laboratory testing; hence, the concept of real-time monitoring is no longer …

Human capital is crucial to the success of businesses in the new knowledge economy.
There is a compelling financial justification for developing a system to assess and enhance …

In this study, we present a novel Road Curve and Lane Identification Scheme that harnesses
the power of an Effective Hybrid Learning Methodology (EHLM). This advanced approach …

The goal of the proposed work is improving prediction accuracy in drift detection using
Logistic Regression compared with modified light gradient boost model. The collection of 40 …

Human Activity Recognition (HAR) is a critical component in various domains, including
healthcare, security, and human-computer interaction. Accurate and efficient HAR systems …

This research is based on the improvement of accuracy in detection of chondrosarcoma the
decision tree is taken and comparing the results with the support vector machine from deep …

To enhance the Music genre classification using novel Support Vector clustering Algorithm
and K-Nearest Neighbors Classifier with improved accuracy. Two groups such as novel …

The primary objective of this study is to compare and contrast the performance of the
decision tree and support vector machine methods in the context of handwritten equation …

Since the evaluation of textile fabric quality is crucial to the success of every textile business,
the need for computer-based intelligent visual inspection systems is on the rise. There has …

Aim: An efficient approach to classifying newspaper articles using a multi-class Support
Vector Machine. Materials and Methods: Accuracy stands as result for the classification of …