REVOLUTIONIZING THE AUCTION EXPERIENCE: NEXT-GENERATION ONLINE AUCTION PLATFORMS
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Engineering, component, insert, formattingAbstract
The "Future Frontiers in Galactic Exploration GAME: The Solar System Game" represents an innovative educational tool crafted using C# Unity and spline for 3D modeling. This immersive game is designed to offer a dynamic and interactive learning experience for individuals of all ages, enabling them to embark on a captivating journey through the Solar System. Through the control of a virtual spaceship, players navigate the vastness of space, landing on each planet to gain insights into their distinctive features. The game showcases intricately detailed 3D models of each celestial body, incorporating accurate representations of size and distance from the sun. A notable highlight is the incorporation of sound clues, providing players with auditory cues that elucidate the unique characteristics of each planet when they explore specific features. This educational game not only engages users in a visually stunning exploration but also enriches their understanding of the Solar System through a multi-sensory experience.
References
He, W., Chen, L., & Wu, D. (2018). An online auction system for perishable products with uncertain quality. Decision Support Systems, 105, 103-113.
Khan, M. M., & Vong, S. (2016). Online Auction System: An Overview. International Journal of Computer Applications, 140(3), 27-31.
Li, J., Liu, Z., & Zhang, Y. (2019). Dynamic reserve price mechanism in online auction system with incomplete information. IEEE Transactions on Industrial Informatics, 15(8), 4435-4444.
Shao, Z., & Zheng, Z. (2018). Design and implementation of a real-time online auction system based on WebSocket. Journal of Physics: Conference Series, 1008(1), 012049.
Wei, Y., Huang, X., & Wang, X. (2019). Trust-based mechanism for improving seller reputation in online auction system. International Journal of Machine Learning and Cybernetics, 10(2), 339-352
Kaushik, P. (2023). Deep Learning Unveils Hidden Insights: Advancing Brain Tumor Diagnosis. International Journal for Global Academic & Scientific Research, 2(2), 01–14. https://doi.org/10.55938/ijgasr.v2i2.45
Kaushik, P. (2023). Unleashing the Power of Multi-Agent Deep Learning: Cyber-Attack Detection in IoT. International Journal for Global Academic & Scientific Research, 2(2), 15–29. https://doi.org/10.55938/ijgasr.v2i2.46.
Sharma, V. (2022). A Study on Data Scaling Methods for Machine Learning. International Journal for Global Academic & Scientific Research, 1(1), 31–42. https://doi.org/10.55938/ijgasr.v1i1.
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Copyright (c) 2023 Ashwani kumar, Ritu Jha, Priyanka D
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