[ad_1] Introduction: The shipping industry plays a crucial role in the global economy, with millions of tons of goods being transported by sea every day. However, the industry is faced with challenges such as equipment…
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[ad_1] Introduction In today’s digital age, online reputation is more important than ever for individuals, businesses, and organizations. With the rise of social media and review websites, it is easy for people to publicly share…
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[ad_1] Introduction Image restoration is a crucial task in the field of computer vision, where the goal is to recover a high-quality image from a degraded or noisy input image. Traditional image restoration techniques rely…
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[ad_1] Introduction: Recommender Systems have become an essential part of online platforms, helping users discover relevant content based on their preferences and behavior. In the realm of online learning resources, these systems play a crucial…
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[ad_1] Introduction Anomaly detection in smart homes has become an essential research area due to the increasing adoption of smart devices and Internet of Things (IoT) technologies in residential settings. With the proliferation of sensors…
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[ad_1] Introduction Predictive analytics has revolutionized various industries by enabling organizations to make data-driven decisions and gain valuable insights into future outcomes. In the realm of risk assessment, predictive analytics plays a crucial role in…
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[ad_1] Introduction Traffic accidents are a major public health concern globally, resulting in significant economic costs and loss of human lives. Accurately predicting the severity of traffic accidents is crucial for improving road safety measures…
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[ad_1] Introduction Sentiment analysis has become an integral part of social media marketing strategies in recent years. With the rise of social media platforms such as Facebook, Twitter, and Instagram, companies are increasingly turning to…
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[ad_1] Introduction Time series forecasting has been widely used in various fields such as finance, economics, and business to predict future values based on historical data. In the context of economic indicators, time series forecasting…
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[ad_1] Introduction In recent years, deep learning techniques have shown great potential in a wide range of applications including image recognition, natural language processing, and autonomous driving. One area where deep learning has made significant…
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