The use of data produced by scientific instruments, such as the Advanced Photon Source Upgrade (APS-U), to train and fine-tune machinelearning models is becoming increasingly challenging due to high data production r...
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The utilization of machinelearning (ML) and pattern recognition algorithms, which is used for analysis of complex datasets to detect similarities, differences, or trends, which can be particularly useful in medical d...
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Customer churn poses a significant challenge for subscription-based businesses, leading to revenue losses and decreased profitability. Predicting and managing churn is crucial for sustaining business growth and ensuri...
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The Cricket Performance Analysis System based on big data tools, like Hadoop and Apache Spark, gives realtime deep insights into performances from players and teams and conditions in matches based on large-scale crick...
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This study presents a novel approach to quantifying physical exertion using various machinelearning algorithms. Such techniques include, among others, random forests, decision trees, linear regression, and gradient b...
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Due to the increasing number of intelligent vehicles (IVs) on existing roads, IVs present several challenges, such as congestion, CO2 emissions, idling, and travel delays. Transportation departments rely on forecastin...
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This study explores the use of machinelearning approaches for fetal health classification utilizing Cardiotocogram (CTG) data to improve prenatal treatment and maternal-fetal health. The study systematically examines...
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As the world shifts from fossil fuels to renewable energy, solar power has become essential in meeting global energy demands. The efficiency of solar energy depends on effectively capturing the environmental and physi...
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This study investigates the performance of bone marrow transplantation (BMT) in adult patients using machinelearning techniques. Bone marrow transplantation is a complex medical procedure used to treat various hemato...
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The increasing growth of Internet of Things (IoT) devices has created a wide attack surface for cyber criminals to carry out more destructive cyber attacks;therefore, the number of cyber attacks in the information sec...
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