International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 186 - Number 36 |
Year of Publication: 2024 |
Authors: Saima Khan, Md. Abidur Rahman Khan |
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Saima Khan, Md. Abidur Rahman Khan . A Review of Exoplanet Detection Processes using Artificial Intelligence and Neural Networks. International Journal of Computer Applications. 186, 36 ( Aug 2024), 1-8. DOI=10.5120/ijca2024923940
Detecting exoplanets is a crucial research area because understanding exoplanets can help researchers discover new aspects of space and potentially lead to the development of new technologies that benefit humanity. There are several methods for detecting exoplanets, but achieving higher accuracy remains a significant challenge. The field of artificial intelligence (AI), particularly neural networks and convolutional neural networks (CNNs), plays a vital role in enhancing the accuracy of exoplanet detection. Various researchers have proposed and utilized numerous techniques employing artificial intelligence and neural network methods to detect exoplanets with improved precision. This paper presents a review of various exoplanet detection techniques using AI and neural networks, highlighting the approaches proposed and examined by different researchers (inclusion of the required tables and figures, accompanied by appropriate citations and references). By leveraging these advanced computational techniques, researchers can analyze vast astronomical datasets more efficiently and identify exoplanets with greater reliability. This integration of artificial intelligence and neural networks in exoplanet detection not only accelerates discoveries but also broadens our understanding of planetary systems beyond our solar system.