[ad_1] Introduction Customer segmentation for personalized pricing has become an increasingly popular strategy for businesses looking to maximize their revenue and better meet the needs of their customers. By identifying distinct groups of customers based…
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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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[ad_1] Introduction In today’s highly competitive and volatile business environment, supply chain resilience has become a critical factor for the success of organizations. The ability to predict and mitigate potential risks within the supply chain…
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[ad_1] Introduction With the increasing amount of digital communication, the issue of spam emails has become a significant problem for individuals, businesses, and organizations. Spam emails are unsolicited messages sent in bulk, often with the…
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[ad_1] Introduction: The insurance industry is one of the most competitive sectors in the financial services industry, with companies constantly looking for ways to attract and retain customers. Customer Lifetime Value (CLV) prediction is a…
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[ad_1] Introduction In recent years, the increasing use of social media has provided an unprecedented amount of real-time data that can be analyzed to understand public sentiment during crises. Sentiment analysis, a branch of natural…
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[ad_1] Introduction The visibility of outdoor images is often compromised by the presence of haze, which leads to degradation in image quality. Image dehazing, the process of removing haze from images, has attracted significant attention…
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[ad_1] Introduction Anomaly detection in water distribution networks is a critical area of research that aims to identify abnormal events or behaviors in the network that could potentially indicate leaks, bursts, or other issues that…
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[ad_1] Introduction Object tracking for autonomous drones is a critical component of modern aerial surveillance and monitoring systems. With the advancement of drone technology, the ability to accurately track moving objects from the air has…
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