[ad_1] Introduction In recent years, there has been a growing interest in the use of chatbots in various industries to improve customer service, automate tasks, and provide information to users. Chatbots are computer programs designed…
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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] 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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[ad_1] Introduction: With the increasing urban population and the rise in the number of vehicles on the road, traffic congestion has become a major issue in many cities around the world. In order to alleviate…
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[ad_1] **Chapter One: 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 The elevator industry plays a crucial role in modern infrastructure, providing vertical transportation in various buildings such as residential, commercial, and industrial facilities. The efficient operation of elevators is essential for the smooth…
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[ad_1] Introduction Image captioning is the process of automatically generating textual descriptions of images. This technology has a wide range of applications, from helping visually impaired users access visual content to assisting search engines index…
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[ad_1] Introduction In recent years, anomaly detection in supply chain logistics has become increasingly important due to the complexity and interconnectedness of global supply chains. Anomaly detection involves identifying abnormalities or deviations from normal patterns…
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[ad_1] Introduction Predicting patient response to treatment is a crucial aspect of modern healthcare in order to provide personalized and effective medical interventions. With the advent of machine learning and artificial intelligence technologies, it is…
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