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 …

The QCA is a revolutionary dominating transistor-less computational nanotechnology based
on quantum dots. As such, it might be used in the next generation of quantum computational …

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 …

Decentralized character, solid database, security features, and, to a significant part,
anonymity, block chain provides a novel method for the storing, exchange, and preservation …

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 …

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 …