[ad_1] Introduction Demand forecasting is a critical aspect of retail operations, especially in the fast-paced and ever-changing fashion industry. With the rise of e-commerce and social media, consumer behavior and preferences are constantly evolving, making…
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[ad_1] Introduction: With the increasing urban population and the rise in the number of vehicles on the road, traffic congestion has become a major issue in many cities around the world. In order to alleviate…
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[ad_1] Introduction In today’s competitive market, it is crucial for companies in the mobile app industry to retain their customers. Customer churn, which refers to the loss of customers or users, poses a significant challenge…
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[ad_1] Introduction: Chatbots have revolutionized the way businesses interact with their customers, providing personalized and efficient customer service solutions. In the travel industry, chatbots have been increasingly utilized for tasks such as booking flights, hotels,…
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[ad_1] **Chapter One: Introduction** 1.1 Introduction 1.2 Background of study 1.3 Problem Statement 1.4 Objective of study 1.5 Limitation of study 1.6 Scope of study 1.7 Significance of study 1.8 Structure of the Thesis 1.9…
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[ad_1] Thesis Overview: Title: Fraud detection in healthcare claims using machine learning and medical coding data Introduction: The healthcare industry is constantly facing challenges related to the detection of fraudulent activities in claims processing. Fraudulent…
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[ad_1] Introduction Image captioning is the process of automatically generating textual descriptions of images. This technology has a wide range of applications, from helping visually impaired users access visual content to assisting search engines index…
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[ad_1] Introduction Customer churn prediction is a crucial task for companies in the subscription-based services industry as retaining customers is key to the long-term success and profitability of the business. With the rise of subscription-based…
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[ad_1] Introduction In recent years, anomaly detection in supply chain logistics has become increasingly important due to the complexity and interconnectedness of global supply chains. Anomaly detection involves identifying abnormalities or deviations from normal patterns…
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[ad_1] Introduction Predicting patient response to treatment is a crucial aspect of modern healthcare in order to provide personalized and effective medical interventions. With the advent of machine learning and artificial intelligence technologies, it is…
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