[ad_1] Introduction: Fraud in online transactions has become a major concern for businesses and consumers alike in today’s digital world. With the increasing popularity of e-commerce and online banking, the risk of fraudulent activities has…
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[ad_1] Introduction Image style transfer and generation have gained significant interest in recent years due to their potential applications in various fields such as art, design, and entertainment. Style transfer refers to the process of…
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[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 Speech emotion recognition and analysis is a growing field of study within the field of artificial intelligence and human-computer interaction. The ability to accurately detect and understand emotions from speech signals has numerous…
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[ad_1] Introduction Facial landmark detection and tracking have gained significant attention in recent years due to their wide range of applications in various fields such as computer vision, human-computer interaction, and biometrics. Facial landmarks refer…
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[ad_1] Thesis Overview Language identification and translation are essential components of the field of natural language processing (NLP), which involves the development of computational algorithms to analyze, understand, and generate human language. Language identification refers…
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[ad_1] Introduction In recent years, the use of machine learning techniques for credit default prediction has gained significant attention in the financial industry. With the increasing complexity of financial markets and the rise of non-traditional…
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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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