Abstract Machine learning and medical diagnostic studies often struggle with the issue of
class imbalance in medical datasets, complicating accurate disease prediction and …

Regression testing is an essential but expensive activity to re-execute all the test cases
every time the software updates. Test case prioritization and minimization reduces the cost …

In this paper stock-dependent customer arrival rate and queue size dependent service rate
in single server inventory retrial queueing system is discussed. The model consists of finite …

In Agriculture, plant monitoring plays an important role from seedling to harvesting which
helps farmers achieve a good yield. This paper focuses on building bigdata based cotton …

Imbalanced classification is a very common and crucial challenge in the machine learning
domain. Due to unequal instances in different classes, the performance of traditional …

Class imbalance is a common problem in machine learning, particularly in classification
tasks. When the distribution of instances across known classes is biased or skewed, this …

This study systematically assesses the effectiveness of data augmentation techniques,
focusing particularly on the stacked approach, across a diverse range of biomedical …

This study presents a novel approach to advance warp knitting design and simulation using
MATLAB, offering a significant contribution to the textile fabric manufacturing industry. By …

The majority of people affected by Parkinson's disease (PD) are middle-aged and older. The
condition causes a variety of severe symptoms, including tremors, limited flexibility, and slow …

Abstract Machine learning has evolved dramatically in recent years and plays a very
important role to ease the day-to-day activities. Classification is one of the major tasks in …