[ad_1] Introduction Traffic accidents are a major cause of injuries and fatalities worldwide, leading to significant social and economic impacts. Predicting accident severity can help in implementing preventive measures, improving emergency response, and reducing the…
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[ad_1] Introduction The popularity of mobile gaming apps has been increasing exponentially over the past decade, with millions of users engaging with these apps on a daily basis. As the competition in the mobile gaming…
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[ad_1] Introduction Chatbots have become increasingly popular in various industries for providing quick and personalized assistance to users. In the legal field, there is a growing need for chatbot systems that can assist individuals with…
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[ad_1] Introduction The gig economy has witnessed tremendous growth in recent years, providing flexible work opportunities for millions of workers around the world. However, the decentralized nature of these platforms has also led to an…
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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: 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 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 Demand forecasting plays a crucial role in hospital resource planning, as it involves predicting future patient volumes and healthcare service needs. By accurately forecasting demand, hospitals can optimize resource allocation, improve patient satisfaction,…
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[ad_1] Introduction In recent years, supply chain disruptions have become a major concern for businesses around the world. These disruptions can lead to significant financial losses, delays in production, and damage to a company’s reputation.…
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[ad_1] Title: Predicting Customer Lifetime Value for Subscription-Based Businesses Using Transactional Data and Machine Learning 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…
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