Examination of Dragonflies (Pantala Flavescens): Characteristics, Identification and Migration Paths

This study explores the Pantala flavescens species' anatomy and mechanisms for long-distance migrations.

The Pantala flavescens is a long range migratory dragonfly known for its widespread global population. Some recent research has suggested it can travel 4500 km in its lifetime, making it one of the farthest known migratory insects. This study explores the Pantala flavescens species' anatomy and mechanisms for long-distance migrations. Convolutional neural networks and transfer learning were used for image recognition of Pantala flavescens. Stable hydrogen isotope values are analyzed to locate the species' geographic origin. By gaining a better understanding of the Pantala flavescens’ definite migration routes, the study aims to minimize potential harm from climate change.

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Thomas G.

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Plant Toxicity Classification by Image

Since differentiating between dangerous and safe plants is a complex task for a human brain, this study approaches the issue through machine learning models starting with a convolutional neural network (CNN) and discovering that a logistic regression model—trained on a dataset with manually designed features—has the best performance with the particular dataset used.

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Molly H.

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Examination of Dragonflies (Pantala Flavescens): Characteristics, Identification and Migration Paths

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Research Paper