[ad_1] Thesis Overview: Image Segmentation for Autonomous Inspection using Deep Learning and Industrial IoT Data Introduction: Image segmentation plays a crucial role in various fields such as medical imaging, autonomous vehicles, and industrial inspection. With…
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[ad_1] Introduction Demand forecasting plays a crucial role in supply chain planning as it helps organizations to make informed decisions regarding production, inventory management, and distribution. With the increasing complexity of global supply chains and…
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[ad_1] Introduction In today’s competitive travel industry, acquiring new customers is crucial for businesses to stay relevant and profitable. With the advancement of technology and the abundance of data available, predictive modeling has become a…
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[ad_1] Introduction Fake news has become a prevalent issue in the digital age, particularly on social media platforms where information spreads rapidly and often unchecked. Detecting and combating fake news is crucial to maintaining the…
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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 Predictive maintenance has emerged as a critical approach for ensuring the reliability and efficiency of wind farms. With the increasing demand for renewable energy sources, wind farms have become a key component of…
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[ad_1] Introduction In recent years, the popularity of fitness trackers has surged, leading to a wealth of data that can be used to personalize fitness plans for individuals. Customer segmentation is a powerful tool that…
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[ad_1] Introduction Fraud in the entertainment industry is a significant issue that can lead to substantial financial losses for companies. With the rise of digital ticket sales and online transactions, there is an increasing need…
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[ad_1] Introduction In recent years, the insurance industry has been facing increasing competition and challenges in acquiring new customers. With the advancement of technology and the availability of vast amounts of data, predictive modeling techniques…
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[ad_1] Introduction Waste management is a critical issue facing cities around the world, with the volume of waste generated increasing at an alarming rate. Traditional waste sorting methods are labor-intensive, time-consuming, and prone to human…
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