Research
Find research shared by the Owlstown community.
Plant-plant communication
Plants are able to exchange information with one another about herbivory and abiotic stress through scents. This research explores the ecological causes and consequences of information sharing among plants. In the past I worked with the study syst...
Project · January 20, 2026
Species interactions in an invasion
Invasive alien plants enter into a novel community where they no longer encounter the species they evolved with. This can be a benefit in the case of herbivores or a problem in case of mutualist bacteria. My research has and continues to look int...
Project · January 20, 2026
Plant communities in the changing archipelago
Understanding how species assemble into ecological communities remains a central challenge in ecology. Islands, with their well-defined boundaries and unique evolutionary histories, offer exceptional opportunities to study the processes shaping b...
Project · January 20, 2026
The unsung heroes: soil protists diversity as a driver of plant performance under global changes
Publication · January 19, 2026
A computer vision approach with OpenCV and deep learning for determining inductance in planar coils
Abstract
Introduction/purpose: In the realm of development and use of computer vision and AI methodologies, this research introduces a combination and advanced method using YOLOv9, a deep learning concept of whole image processing in one pass th...
Publication · January 19, 2026
Benchmarking YOLOv10 Variants for Solar Panel Surface Defect Detection with Low Epoch Training
Abstract
Solar energy is becoming a good alternative energy source as the world shifts towards renewable energy sources. To ensure perfect energy production and minimize different losses, it is essential to maintain efficient and regular monitori...
Publication · January 19, 2026
Data-Driven Solar Panels Power Prediction: Model Comparison Including Hyperparameter Tuning Process
Abstract
This research aims to compare and choose the suitable machine learning model based on specific data to predict the output of a solar panel system, which is the power energy. The focus was on a real-world solar power dataset with features...
Publication · January 19, 2026
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