The research study explores the Supply Chain Quality Management (SCQM), the ways for
ensuring supply consistency at reasonable rates while maintaining high quality …

In this paper, a novel Multi Class based Feature Extraction (MC-FE) method has been
proposed for medical data classification. Genomic datasets, or gene expression-based …

This paper presents a novel approach in which hyperparameter-tuned Machine Learning
(ML) classifiers with Optuna is used for fault detection and classification over a power …

Since some decades ago, cybercrimes have not only increased but it is also becoming more
complex. The attackers are using more sophisticated techniques for data breaching. As …

The purpose of this article is to demonstrate the relevance of machine learning (ML)
solutions to the management of modern corporate organizations by focusing on the …

The brand-new field of study known as “CSs” brings together technical and physical systems
to provide services to business companies. This is due to the fact that they are susceptible to …

As a result of the implementation of artificial intelligence, there is a possibility that the
existing organizational structures and management procedures will go through significant …

Cloud computing and blockchain technologies are being utilized to build supply chains in an
attempt to enhance firm performance and venture capital administration. This study provides …

In this study, we present a framework for spectral-spatial feature-based classification
(SSFC), which employs deep learning techniques and dimension reduction to …

This research investigates the revolutionary potential of intelligent systems in the estimation
of compost quality in an attempt to overcome the drawbacks of traditional methods of …