the rapid expansion of social media has facilitated individuals9; widespread distribution of information, frequently without sufficient verification or filtering mechanisms. this has exacerbated the problem of misi...
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Automatic speech recognition system is the understanding of human voice by computers. Automatic speech recognition is an important field of study for human-computer interaction. Withthe development of technology, the...
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In most countries, for environmental reasons and the growth of energy demand, the use of renewable energy, especially wind energy, is increasing. Hence, the integration of wind energy systems (WESs) into the power gri...
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this paper explores how machine learning can improve power system protection by predicting critical parameters such as inertia constants and frequency deviations. In the current era, various power systems are consiste...
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In todays changing landscape the abundance of unprocessed data plays a vital role. It is crucial to curate this dataset and conduct a thorough analysis of the sentiments it captures. the aim of this research study is ...
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Distributed systems have become an integral part of many modern applications, processing large amounts of data and serving large numbers of users simultaneously. However, as these systems grow in size and complexity, ...
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In recent years, interest in the automation of agricultural and industrial processes has increased. Fruit segmentation is essential for quality control, harvest optimization, and yield estimation. However, some challe...
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the methodology of this research focuses on analyzing real-world breaches, such as the Star Health Insurance leak, and demonstrating how multi-layered encryption techniques could have mitigated the impact. By splittin...
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Image segmentation is a fundamental process in computer vision and image analysis, with applications in various fields. By dividing digital images into distinct regions or objects based on their characteristics, such ...
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the research paper focuses on revolutionizing student placement predictions in educational institutions through the integration of machine learning and data visualization techniques. Acknowledging the pivotal role of ...
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