首页|Reports Summarize Artificial Intelligence Research from University of Puerto Ric o at Mayaguez (Artificial Intelligence Approach for Classifying Images of Upper- Atmospheric Transient Luminous Events)
Reports Summarize Artificial Intelligence Research from University of Puerto Ric o at Mayaguez (Artificial Intelligence Approach for Classifying Images of Upper- Atmospheric Transient Luminous Events)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting out of the Uni versity of Puerto Rico at Mayaguez by NewsRx editors, research stated, “Transien t Luminous Events (TLEs) are short-lived, upper-atmospheric optical phenomena as sociated with thunderstorms.” Funders for this research include Nasa. Our news journalists obtained a quote from the research from University of Puert o Rico at Mayaguez: “Their rapid and random occurrence makes manual classificati on laborious and time-consuming. This study presents an effective approach to au tomating the classification of TLEs using state-of-the-art Convolutional Neural Networks (CNNs) and a Vision Transformer (ViT). The ViT architecture and four di fferent CNN architectures, namely, ResNet50, ResNet18, GoogLeNet, and SqueezeNet , are employed and their performance is evaluated based on their accuracy and ex ecution time. The models are trained on a dataset that was augmented using rotat ion, translation, and flipping techniques to increase its size and diversity. Ad ditionally, the images are preprocessed using bilateral filtering to enhance the ir quality. The results show high classification accuracy across all models, wit h ResNet50 achieving the highest accuracy.”
University of Puerto Rico at MayaguezA rtificial IntelligenceEmerging TechnologiesMachine Learning
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