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Optimizing Machine Learning For Accurate CVD Prediction

Cardiovascular diseases (CVD) are cited as a leading cause of CVD complications and death records similar pronouncements by the American Heart Association that these diseases are responsible for 179 million deaths worldwide annually (Prabhakaran et al., 2022). These figures should also highlight the need to enhance resources for biomedical research and the development of new approaches to managing cardiovascular diseases and their risks worldwide (Vaduganathan et al., 2022). Annually hearing

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Career Objectives And Location Analysis

Career Objectives My long-term goal is to work as a Cloud Engineer in the Tech business, where I can apply my skills in computer science. I am incredibly passionate about working with cloud computing services like AWS, Azure, and Google Cloud, with an emphasis on building, deploying, and overseeing cloud-based applications that promote corporate innovation and efficiency. My objective is to help in the progress of cloud technology by creating

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The Role Of Sensory Modality In Lexical Decision And Semantic Priming

Overview The methods section outlines the systematic approach used to conduct the study, ensuring replicability and transparency. This section details the research design, participant characteristics, materials, procedures, and ethical considerations, providing a comprehensive overview of how the research was conducted. Participants The study involved a total of 120 participants, aged between 18 and 35 years, with a mean age of 25.4 years (SD = 4.2). Participants were recruited from a

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Should Some Knowledge Not Be Sought On Ethical Grounds?

Object 1: Marina Abramović’s shocking Rhythm 0 performance  Marina Abramovic’s Rhythm 0 deeply delves into the ToK prompt “Should some knowledge not be sought on ethical grounds?”. She is well known for her body art, for how she pushes the boundaries and for the relationship she upholds with her audience to make them delve into the possibilities of the human mind. Rhythm 0, performed in 1974, observed Marina standing still

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The 10 University Libraries in the USA Worth a Visit

University libraries are essential pillars of higher education, serving as repositories of knowledge and intellectual development. These institutions offer vast collections of books, manuscripts, and digital archives that support academic research and learning. Beyond their academic role, many university libraries are architectural masterpieces that reflect the rich history and culture of their institutions. Some date back centuries, preserving historical documents and artifacts that provide insights into the past, while others

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Improved Correlation Coefficients Of Pentapartitioned Neutrosophic Pythagorean Sets For MADM

Abstract: A correlation coefficient is a statistical measure which contributes to deciding the degree to which changes in one variable predict changes in another. Wang’s single-valued neutrosophic sets have still continued to improve to pentapartitioned neutrosophic sets. In this article, we analyze the characteristics of pentapartitioned neutrosophic Pythagorean sets with improved correlation coefficients. We’ve also used the same approach in multiple attribute decision-making methodologies, including one with a pentapartitioned neutrosophic

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Enhancing TCP-PRN For Seamless Handoff Management In Wireless Networks Through Deep Learning And Hybrid Optimization

Abstract Handoff events, in which mobile nodes switch between various network access points, frequently result in performance degradation in wireless networks. TCP-PRN (Path Recovery Notification), a method designed to lessen the negative effects of temporary link disconnections, was developed in response to this challenge. In spite of its potential, precise handoff prediction and managing link disconnections continue to be major obstacles in actual deployment. This study introduces an improved TCP-PRN

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Analysis Of ECG Signals For Ischemic Heart Disease Prediction Using Optimized Artificial Neural Network

Introduction The most prevalent dangerous illness is thought to be heart attacks. Medical practitioners perform numerous surveys on heart disease to acquire data on the illnesses, symptoms, and course of the condition [1]. Since cardiovascular disease is the most predictable disease in the world, it is a major worry for the medical sector in today’s heart disease research. Scaling down small and amazing gadgets that may be utilised while calculating

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Secure Transfer Of Data In Cloud Computing Using DNA Cryptography With Cipher Techniques

Abstract Cloud computing is a type of distributed computing that allows organizations to store and access data on-demand. It is commonly used for various applications such as network services, storage, and platform services. However, many organizations are not excited about using it due to security concerns. Various researchers have been developing various methods to improve the security of cloud computing. One of these is the Bi-directional DNA encryption algorithm. However,

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A Review Of Integration Of Fiber Bragg Grating Sensors In The Fourth Industrial Revolution (FBG-4IR)

Abstract Review of the Fiber Bragg Grating (FBG) sensor technology’s state-of-the-art. In the past three decades, FBG sensors have drawn a lot of attention because of their key benefits, which include immunity to electromagnetic interference, lightweight, compact size, high sensitivity, huge operation bandwidth, and excellent multiplexing capabilities. Temperature and strain are the two most extensively researched sense physical variables. This paper focuses on the operation of fiber bracket grating sensors

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