[ad_1] Thesis Overview: Self-driving vehicles and autonomous machines have become increasingly popular in various industries, including mining. One of the key challenges in enabling autonomous mining operations is accurate image segmentation, which involves separating different…
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[ad_1] Introduction Social network analysis (SNA) has emerged as a powerful tool for understanding the dynamics of relationships within organizations. In the context of organizational change management and communication strategies, SNA can provide valuable insights…
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[ad_1] Introduction: Employee turnover is a major concern for organizations as it can lead to significant financial losses and disruptions in productivity. Predictive modeling using HR data and machine learning techniques has emerged as a…
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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 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 In recent years, subscription-based pricing models have gained popularity among businesses seeking to establish predictable and recurring revenue streams. However, determining the optimal pricing strategy for subscription services can be a challenging task,…
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[ad_1] Introduction The banking industry is continuously evolving as banks seek to improve their customer acquisition strategies to remain competitive in the market. With the increase in competition, banks are turning to predictive modeling techniques…
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[ad_1] Introduction In recent years, social media has become a crucial platform for people to express their opinions, emotions, and sentiments in response to various events, including crises such as natural disasters, social unrest, and…
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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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