[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 today’s highly competitive retail environment, understanding and predicting customer behavior has become essential for businesses to stay ahead of the game. With the advent of big data and advanced analytics, retailers now…
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[ad_1] Introduction Time series anomaly detection is a crucial area of research in the field of data mining and machine learning. Anomaly detection involves identifying patterns in data that deviate from the norm, which can…
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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 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 Music genre classification and recommendation is an important area of research in the field of music information retrieval. With the vast amount of music available online, users often struggle to find music that…
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[ad_1] Introduction: Image captioning and description generation is a cutting-edge research area that combines computer vision and natural language processing to automatically generate textual descriptions for images. This technology has numerous applications in fields such…
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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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[ad_1] Introduction: Sentiment analysis is the process of understanding and extracting subjective information from data, such as opinions and emotions expressed in product reviews. With the rise of e-commerce and online shopping, product reviews have…
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