When we think about Olympic success, our minds often jump to economic powerhouses like the United States and China. But what happens when we look beyond the raw medal counts? This research dives into a more nuanced question: Which nations are truly punching above their economic weight in the Olympic arena?.
This project is part of the EVNTO app aimed at improving engagement for Mansoura University students by providing them with useful AI tools such as sentiment analysis, a chatbot, and a cold start recommendation system.
AQSA is a comprehensive AI-driven solution for startups and small businesses. We created AQSA with a goal to reach the gap between research and real-world applications. Our project contains three components; generative chatbot, automated data analyzer, and forecasting module. All with a goal to provide information, enhance decision-making, and foster innovation within the startup ecosystem.
This paper explores the foundational concepts of machine learning (ML) and deep learning (DL), providing a detailed understanding for both researchers and beginners aiming to develop a solid grasp of when and how to use different models effectively.
From AlphaGo beating the world champion in Go, to the newest updates on large language models and what they can do, RL algorithms with no doubt have a huge impact in the present and the future of automation and Human-AI interaction. With this collection of RL principles, you’ll gain a deeper understand of how RL work and you may gain insights applicable in your own work, leading to innovative solutions.
The energy system has transformed dramatically since the Industrial Revolution. We found that the fastest growing energy source is Solar Energy. While the slowest energy source is Traditional biomass.
TThe goal of the project was to explore the relationship between the growth rate of the economy and the unemployment rate in the last four years since COVID-19.