IntroductionThe ability of fuzzy rule-based systems to handle the imprecision and uncertainty present in real-world problems is quite impressive. The assessment of any fuzzy rule-based system in itself is a complex task because its performance is dependent on two parameters namely accuracy and interpretability. Accuracy is assessed based on quantitative results whereas interpretability is entirely subjective and may vary according to domai Read More

Most of the networks employ TCP protocol for transmission control in transport mechanism. Although it offers numerous services such as reliability end-to-end delivery secure transmission of data and so on to applications functioning across the World Wide Web TCP needs to have effective congestion management techniques in order to handle traffic with a lot of data. Still TCP have poor performance during data transmission in the network. The Read More

BackgroundDiabetic Retinopathy (DR) a significant cause of vision loss globally is characterized by retinal damage caused by diabetes. Early detection is vital to prevent irreversible blindness yet challenges remain in accurately identifying DR stages and enhancing blood vessel visibility in fundus images. This paper aims to develop an early detection methodology for DR addressing the need for early diagnosis and the difficulties in distinguishing DR severity thr Read More

Computational Intelligence and its Applications explores cutting-edge advancements in machine learning data science and their practical applications. This comprehensive guide caters to college students researchers and professionals equipping readers with the knowledge to navigate and leverage the latest trends in computational intelligence effectively.Key Features:- Emerging Technologies: Covers post-quantum cryptography secure communication Read More

BackgroundIntelligent reflecting surface (IRS) have evolved as one of the key technology by enabling reconfigurable intelligent and low-power solutions for sixth-generation (6G) wireless communication.ObjectivesThe objective of this paper is to improve outage performance by deploying the IRS Module.MethodsIn this research an IRS-assisted NOMA network is explored over η - μ fading channel where the IRS is placed on top of the base st Read More

BackgroundSome of the new challenges that consumers are confronted with include safeguarding data and privacy. Data retrieved from the cloud's external sources and the calculations that follow aren't always accurate. Addressing the risk of adversaries utilizing various exploitation techniques to compromise transactional data privacy is a basic concern when establishing big private networks. The profession of criminal investigation is quickly embracing Read More

BackgroundThe paper focuses on enhancing the performance of 5G wireless mobile communication systems. Furthermore it addresses the increasing demand for high data rates improved channel capacity and spectrum efficiency outlined by the 3rd Generation Partnership Project (3GPP) protocol.ObjectivesTo develop an innovative Non-orthogonal Multiple Access (NOMA)-based channel estimation (CE) model aimed at improving the Read More

AimsIn the realm of Big Data Analytics ensuring the fairness of data-driven decision making processes is imperative. This abstract introduces the Learning Embedded Fairness Interpretation (LEFI) Model a novel approach designed to uncover and address data fairness functional requirements with an exceptional accuracy rate of 97%. The model harnesses advanced data mapping and classification analysis techniques employing Explainable-AI (xAI) for tran Read More