[ad_1] Introduction Anomaly detection in sensor data is a critical area of research that is gaining significance with the increasing use of sensors in various applications such as healthcare, finance, manufacturing, and environmental monitoring. Sensors…
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[ad_1] Introduction: Autonomous drone navigation and control have emerged as a significant area of research in recent years due to the increasing demand for unmanned aerial vehicles (UAVs) in various applications such as surveillance, search…
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[ad_1] Introduction Object tracking in video streams is an essential task in computer vision and image processing, with applications in surveillance, autonomous driving, augmented reality, and sports analysis, among others. The ability to accurately track…
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[ad_1] Introduction: Sentiment analysis is a process of analyzing text data to determine the sentiment or opinion expressed in the text. With the rapid increase in the volume of news articles being published online, there…
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[ad_1] Introduction In recent years, recommender systems have become an integral part of many online platforms, including streaming services such as Netflix, Hulu, and Spotify. These systems use algorithms to analyze user data and provide…
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[ad_1] Introduction In today’s digital age, the demand for high-quality content is ever-increasing. Natural Language Generation (NLG) has emerged as a powerful tool for automatically generating human-like text from structured data. NLG has a wide…
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[ad_1] Introduction Predictive maintenance is becoming increasingly important in the aviation industry as it allows for the detection of potential issues in aircraft engines before they escalate into costly and potentially dangerous failures. By utilizing…
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[ad_1] Introduction Customer feedback analysis and insights are crucial components of any business strategy as they provide valuable information on customer perceptions, preferences, and experiences. By analyzing customer feedback, businesses can gain insights into areas…
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[ad_1] Introduction Fraud in credit card transactions is a prevalent issue that has a significant impact on both consumers and financial institutions. With the increase in online transactions and technological advancements, fraudsters have found new…
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[ad_1] Introduction: Anomaly detection in network traffic is a critical aspect of cybersecurity, as it involves identifying abnormal patterns or deviations from expected behavior in network data. With the growing complexity and sophistication of cyber…
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