[ad_1] Introduction Oil and gas pipelines play a crucial role in the transportation of energy resources across vast distances. However, these pipelines are susceptible to various forms of degradation and failure over time, leading to…
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[ad_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 Definition of…
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[ad_1] Introduction Real estate pricing is a complex and dynamic process that involves a multitude of factors such as location, property size, amenities, and market trends. Traditionally, real estate professionals rely on historical data and…
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[ad_1] Introduction Waste management has become a significant concern globally, with the increasing amount of waste being generated daily. Recycling plays a crucial role in mitigating environmental pollution and conserving natural resources. However, the efficiency…
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[ad_1] Introduction The fitness industry has seen tremendous growth in recent years, with more people becoming health-conscious and prioritizing physical fitness as part of their daily routine. However, one of the challenges faced by fitness…
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[ad_1] Introduction Anomaly detection in manufacturing processes using sensor data and unsupervised learning has become an important area of research in recent years. The ability to detect anomalies in manufacturing processes can help companies improve…
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[ad_1] Introduction In today’s competitive job market, job seekers are faced with the daunting task of sifting through numerous job postings to find the perfect fit for their skills and qualifications. Similarly, recruiters also face…
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[ad_1] Title: Image Segmentation for Satellite Imagery Analysis Using Deep Learning and Geospatial 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 Demand forecasting is a critical aspect of retail operations, especially in the fast-paced and ever-changing fashion industry. With the rise of e-commerce and social media, consumer behavior and preferences are constantly evolving, making…
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[ad_1] Introduction Predictive modeling for employee attrition using HR data and machine learning is a critical area of research that has gained significant attention in recent years. With the increasing competition in the job market…
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