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Found 5 papers, 2 papers with code
ASGM-KG: Unveiling Alluvial Gold Mining Through Knowledge Graphs
Artisanal and Small-Scale Gold Mining (ASGM) is a low-cost yet highly destructive mining practice, leading to environmental disasters across the world's tropical watersheds.
PalmProbNet: A Probabilistic Approach to Understanding Palm Distributions in Ecuadorian Tropical Forest via Transfer Learning
This heatmap effectively visualizes the distribution of palms, showcasing the scalability and adaptability of our approach in various forest densities.
Semi-supervised Change Detection of Small Water Bodies Using RGB and Multispectral Images in Peruvian Rainforests
Artisanal and Small-scale Gold Mining (ASGM) is an important source of income for many households, but it can have large social and environmental effects, especially in rainforests of developing countries.
Deep Reinforcement Learning for Adaptive Exploration of Unknown Environments
Often, these missions start with building a map for the environment via pure exploration and subsequently using (i. e. exploiting) the generated map for downstream navigation tasks.
Robustness-Driven Exploration with Probabilistic Metric Temporal Logic
However, algorithms for autonomous exploration often focus on optimizing time and coverage in a greedy fashion.
