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Bird's-Eye View to Street-View: A Survey
In recent years, street view imagery has grown to become one of the most important sources of geospatial data collection and urban analytics, which facilitates generating meaningful insights and assisting in decision-making.
A Call to Arms: AI Should be Critical for Social Media Analysis of Conflict Zones
The massive proliferation of social media data represents a transformative opportunity for conflict studies and for tracking the proliferation and use of weaponry, as conflicts are increasingly documented in these online spaces.
Improved Crop and Weed Detection with Diverse Data Ensemble Learning
We observe that including base models trained on other target crops and weeds can help generalize the model to capture varied field conditions.
Progress towards machine learning methodologies for laser-induced breakdown spectroscopy with an emphasis on soil analysis
Optical emission spectroscopy of laser-produced plasmas, commonly known as laser-induced breakdown spectroscopy (LIBS), is an emerging analytical tool for rapid soil analysis.
CommuNety: A Deep Learning System for the Prediction of Cohesive Social Communities
Traditional approaches rely on the analysis of text data related to users to accomplish this task.
