[ad_1] Introduction: In recent years, there has been an exponential growth in the amount of customer reviews available online for various products and services. These customer reviews provide valuable insights into the quality of products…
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[ad_1] Introduction: The growth of the e-learning industry in recent years has transformed the way educational content is delivered to students across the globe. With the increasing popularity of online courses and virtual classrooms, e-learning…
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[ad_1] Introduction: The use of electronic health records (EHR) has become increasingly prevalent in healthcare settings, providing a valuable source of data for researchers and healthcare professionals. With the advancements in machine learning algorithms, there…
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[ad_1] Introduction With the rise of online dating platforms, the need for effective recommender systems has become increasingly important. Recommender systems utilize user profiles and interaction data to suggest potential matches to users, ultimately improving…
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[ad_1] Introduction The use of autonomous drones in various applications such as agriculture, surveillance, and search and rescue has been growing rapidly in recent years. One of the key challenges in enabling autonomous drones to…
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[ad_1] Introduction Social network analysis (SNA) has become a popular and powerful tool in understanding the dynamics of social relationships, communication patterns, and influence within a network. This methodological approach has been widely used in…
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[ad_1] Introduction Crowdsourcing has become a popular and effective method for businesses and organizations to harness the collective intelligence and resources of a large group of people, typically through an online platform. This research aims…
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[ad_1] Introduction In recent years, there has been a growing interest in the use of chatbots in various industries to improve customer service, automate tasks, and provide information to users. Chatbots are computer programs designed…
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[ad_1] Thesis Overview: Customer segmentation for energy consumption patterns using clustering algorithms and smart meter data is a critical area of research that aims to understand and analyze customer behavior in relation to energy consumption.…
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[ad_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 Definition of…
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