[ad_1] Introduction Recommender systems have become an essential part of online learning platforms, providing personalized recommendations to users based on their preferences and behaviors. Collaborative filtering and content analysis are two popular techniques used in…
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[ad_1] Introduction: Social network analysis (SNA) has become an increasingly important tool in various fields such as sociology, anthropology, psychology, and computer science. It allows researchers to study the relationships and interactions among individuals, groups,…
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[ad_1] Introduction Machine learning is a branch of artificial intelligence that focuses on the development of algorithms and models that allow computers to learn from and make predictions or decisions based on data. It has…
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[ad_1] Introduction: Predictive maintenance for aircraft engines using sensor data and machine learning has gained significant attention in recent years due to its potential to enhance the reliability and safety of aircraft operations. By leveraging…
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[ad_1] Thesis Title: Customer Segmentation for Personalized Marketing Using Clustering Algorithms and Demographic Data 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…
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[ad_1] Introduction The use of machine learning in healthcare has been gaining popularity in recent years, with researchers and clinicians exploring its potential applications in predicting patient outcomes. One such application is predicting patient mortality…
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[ad_1] Thesis Overview Title: Recommender Systems for News Articles using Content-Based Filtering Introduction In today’s digital age, the vast amount of information available online can be overwhelming for users to navigate. Recommender systems offer a…
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[ad_1] Thesis Overview: Title: Sentiment analysis of customer feedback using text mining and machine learning Introduction: Sentiment analysis is the process of extracting and analyzing subjective information from text data, to determine the sentiment or…
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[ad_1] Introduction Image classification is a crucial aspect of quality control in manufacturing processes, as it enables the automated identification and detection of defects in products. Deep learning algorithms have shown great potential in image…
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[ad_1] Introduction: In the era of online commerce and social media, user-generated reviews have become a crucial part of decision-making for consumers. However, the presence of fake reviews has become a significant issue, as they…
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