[ad_1] Introduction Real-time traffic prediction using big data has become a crucial area of research in the field of transportation engineering. With the increasing complexity and volume of traffic data generated from various sources such…
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[ad_1] Introduction In today’s fast-paced and highly competitive business environment, the role of Human Resources (HR) has evolved significantly. HR departments are no longer just focusing on administrative tasks, but are increasingly being required to…
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[ad_1] Introduction In recent years, the use of data science for disaster response and management has gained significant attention due to its potential to improve the efficiency and effectiveness of emergency response efforts. Data science…
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[ad_1] Introduction The management of credit risk is vital in the banking industry, as loan defaults can have significant financial implications for financial institutions. In recent years, there has been a growing interest in using…
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[ad_1] Introduction Social media has become an increasingly important platform for political discourse, with politicians and citizens alike using platforms such as Twitter to communicate their thoughts and opinions on various political issues. Sentiment analysis,…
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[ad_1] Introduction In recent years, deep learning has revolutionized the field of artificial intelligence, particularly in the area of computer vision. Autonomous drones have become increasingly popular for a wide range of applications, from surveillance…
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[ad_1] Introduction Automated Image Captioning is a rapidly growing field in artificial intelligence and computer vision that aims to generate natural language descriptions for images. This technology has a wide range of applications, including accessibility…
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[ad_1] Introduction In recent years, social media has become an integral part of our daily lives, providing a platform for individuals to share information, opinions, and experiences with a wide audience. The abundance of data…
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[ad_1] Introduction Real estate pricing is a complex and dynamic process that involves a myriad of factors such as location, property type, market trends, and economic conditions. Predictive modeling, a statistical technique used to predict…
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[ad_1] Introduction In recent years, image super-resolution using deep learning has gained significant attention in the field of computer vision. Image super-resolution refers to the process of enhancing the resolution of an image, allowing for…
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