[ad_1] Introduction: Social Network Analysis (SNA) has become an increasingly popular tool for identifying influencers in various fields such as marketing, politics, and healthcare. The ability to map out and analyze the relationships between individuals…
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[ad_1] Introduction Speech recognition and synthesis using deep learning have gained significant attention in recent years due to the advancements in artificial intelligence and machine learning technologies. Deep learning algorithms have shown remarkable capabilities in…
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[ad_1] Introduction Predicting student performance has always been a challenging task for educators and researchers. With the advent of educational data mining (EDM), a new opportunity has emerged to analyze vast amounts of data collected…
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[ad_1] Introduction In today’s interconnected world, network security plays a critical role in protecting sensitive information and ensuring the integrity of communication systems. Anomaly detection is a crucial component of network security, as it helps…
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[ad_1] Introduction Natural Language Processing (NLP) has revolutionized the way businesses interact with their customers, especially in the realm of automated customer support. With the advancements in artificial intelligence and machine learning, NLP systems are…
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[ad_1] Introduction Traffic congestion has become a major issue in urban areas around the world, leading to increased travel times, fuel consumption, and pollution levels. To address this problem, researchers have been exploring the use…
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[ad_1] Introduction: In the financial industry, credit risk modeling plays a crucial role in determining the creditworthiness of borrowers and assessing the likelihood of default on loans. This is particularly important in the context of…
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[ad_1] Introduction In recent years, podcasts have gained immense popularity as a form of entertainment, education, and communication. With this rise in popularity, the number of podcasts available has also increased significantly, leading to a…
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[ad_1] Introduction Time series forecasting plays a crucial role in supply chain optimization, enabling organizations to better predict future demand, identify trends, and make informed decisions regarding inventory management, production planning, and distribution. By analyzing…
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[ad_1] Introduction Predictive maintenance is a proactive maintenance strategy that involves forecasting when a piece of equipment is likely to fail so that maintenance can be performed just in time to prevent the failure from…
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