[ad_1] Introduction The field of healthcare is constantly evolving with the advancement of technology and the availability of vast amounts of patient data. Clinical trials play a crucial role in testing the effectiveness of various…
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[ad_1] Introduction In recent years, online grocery shopping has become increasingly popular among consumers due to its convenience and time-saving benefits. With the rise of e-commerce platforms, customers can now purchase their groceries from the…
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[ad_1] Introduction: The rise of online reviews has revolutionized the way consumers make decisions about travel accommodations, activities, and destinations. However, with the increasing prevalence of fake reviews, it has become increasingly difficult for consumers…
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[ad_1] **Chapter 1: 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] Introduction Customer lifetime value (CLV) is a key metric for e-commerce businesses that allows them to understand the potential profitability of their customers over their entire relationship with the company. Predicting CLV accurately can…
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[ad_1] Introduction Facial recognition has gained significant popularity in recent years due to its wide range of applications in various fields including security, marketing, and customer service. One area where facial recognition technology can be…
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[ad_1] Introduction Sentiment analysis of customer feedback plays a crucial role in understanding customer preferences and opinions towards product features. With the advancement of text mining and natural language processing techniques, companies can now extract…
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[ad_1] Introduction In recent years, deep learning has revolutionized the field of image classification by achieving state-of-the-art results in various applications such as object recognition, face detection, and medical image analysis. One area where deep…
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[ad_1] Introduction: Anomaly detection in manufacturing supply chains using RFID data and unsupervised learning is a critical area of research with the potential to revolutionize the way companies manage their inventory, track their assets, and…
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[ad_1] Introduction Healthcare institutions are constantly looking for ways to improve patient outcomes and reduce costs. One area of interest is predicting patient readmission risk using electronic health records (EHR) and machine learning techniques. By…
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