30 citations · 58 across the 5 of their papers we have counts for
5 papers
Learning and Recognizing Archeological Features from LiDAR Data
Conrad M Albrecht, Chris Fisher, Marcus Freitag +4
We present a remote sensing pipeline that processes LiDAR (Light Detection And Ranging) data through machine & deep learning for the application of archeological feature detection…
Event Clustering & Event Series Characterization on Expected Frequency
Conrad M Albrecht, Marcus Freitag, Theodore G van Kessel +2
We present an efficient clustering algorithm applicable to one-dimensional data such as e.g. a series of timestamps. Given an expected frequency , we introduce an $\mathca…
An Unsupervised Clustering-Based Short-Term Solar Forecasting Methodology Using Multi-Model Machine Learning Blending
Cong Feng, Mingjian Cui, Bri-Mathias Hodge +3
Solar forecasting accuracy is affected by weather conditions, and weather awareness forecasting models are expected to improve the performance. However, it may not be available and…
Where computer vision can aid physics: dynamic cloud motion forecasting from satellite images
Sergiy Zhuk, Tigran Tchrakian, Albert Akhriev +2
This paper describes a new algorithm for solar energy forecasting from a sequence of Cloud Optical Depth (COD) images. The algorithm is based on the following simple observation: t…
Coherence properties of infrared thermal emission from heated metallic nanowires
Levente J. Klein, Hendrik F. Hamann, Yat-Yin Au +1
Coherence properties of the infrared thermal radiation from individual heated nanowires are investigated as function of nanowire dimensions. Interfering the thermally induced radia…