ESCIP: An Expansion-Based Spatial Clustering Method for Inhomogeneous Point Processes
Sign Up to like & getrecommendations! Published in 2019 at "Annals of the American Association of Geographers"
DOI: 10.1080/24694452.2019.1625747
Abstract: Detecting irregularly shaped spatial clusters within heterogeneous point processes is challenging because the number of potential clusters with different sizes and shapes can be enormous. This research develops a novel method, expansion-based spatial clustering for… read more here.
Keywords: point processes; expansion based; method; spatial clustering ... See more keywords
Toward Optimal Prediction Error Expansion-Based Reversible Image Watermarking
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2019.2911042
Abstract: Reversible image watermarking is a technique that allows the cover image to remain unmodified after watermark extraction. Prediction error expansion-based schemes are currently the most efficient and widely used class of reversible image watermarking techniques.… read more here.
Keywords: prediction error; prediction; image; error expansion ... See more keywords
Probabilistic Optimal PV Capacity Planning for Wind Farm Expansion Based on NASA Data
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Sustainable Energy"
DOI: 10.1109/tste.2017.2677466
Abstract: Considering the complementary characteristics of wind and solar energy, expanding an existing wind farm with photovoltaic panels can significantly smooth fluctuation of output power and improve operation economy. This paper proposes a two-stage approach to… read more here.
Keywords: expansion based; farm expansion; wind farm; farm ... See more keywords