[ad_1] Introduction The use of machine learning in predicting stock market trends has gained significant interest in recent years due to the increasing complexity and volatility of financial markets. Machine learning algorithms have the potential…
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[ad_1] Introduction Anomalies in manufacturing processes can have severe consequences, leading to defective products, loss of revenue, and potential safety hazards. Therefore, it is crucial to detect anomalies in real-time to ensure quality control and…
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[ad_1] Introduction: Patient falls are a common and serious problem in healthcare settings, leading to increased healthcare costs, patient injuries, and even death. Preventing falls among patients is a critical issue for healthcare providers. In…
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[ad_1] Introduction Image segmentation plays a crucial role in autonomous security systems by accurately identifying and classifying objects within surveillance data. With the advancement of deep learning techniques, such as convolutional neural networks (CNNs), the…
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[ad_1] Introduction Demand forecasting plays a crucial role in event planning as it helps organizers in predicting attendance, planning resources, and maximizing revenue. Traditionally, event planners rely on historical data, intuition, and subjective judgment to…
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[ad_1] Introduction The restaurant industry is a dynamic and fast-paced sector that plays a significant role in the economy. With the advent of technology and the rise of online food delivery services, the restaurant business…
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[ad_1] Introduction: Fake reviews have become a significant issue in the online food delivery industry, with many consumers relying on these reviews to make informed decisions about where to order food from. With the rise…
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[ad_1] Introduction Traffic congestion is a significant issue that affects freight transportation, leading to delays, increased costs, and inefficiencies in logistics operations. In recent years, the use of deep learning techniques and logistics data has…
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[ad_1] Thesis: Sentiment analysis of customer feedback for service recovery prioritization using text mining and natural language processing Introduction 1.1 Introduction 1.2 Background of the study 1.3 Problem Statement 1.4 Objective of the study 1.5…
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[ad_1] Thesis Overview Title: Fraud Detection in the Education Industry Using Machine Learning and Student Data Introduction The education industry is not immune to fraud, with incidents ranging from academic dishonesty to financial mismanagement. Fraud…
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