IEEE

Low-Cost MLS-Based Forest Plot Mapping via Feature Graph Registration

Abstract: Forest plot mapping is a significant task in forest inventories by providing accurate structural parameters. However, understory mapping still predominantly relies on terrestrial laser ...
GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
GitHub

Python package to parse, analyse, and plot Apple HealthKit data

The Apple Health Parser Python package simplifies the extraction and analysis of health data exported from Apple HealthKit. Designed for seamless integration into data science workflows and health ...
IEEE

CGraphNet: Contrastive Graph Context Prediction for Sparse Unlabeled Short Text ...

Abstract: Unlabeled text representation learning (UTRL), encompassing static word embeddings such as Word2Vec and contextualized word embeddings such as bidirectional encoder representations from ...