Christopher J Kopka
University of Sioux Falls
5 Papers
74 Citations
Christopher J Kopka is an academic researcher from University of Sioux Falls. The author has contributed to research in topics: Deep learning & Benchmark (surveying). The author has an hindex of 4, co-authored 5 publications. Previous affiliations of Christopher J Kopka include Harbin Engineering University.
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Papers
Large-scale real-world radio signal recognition with deep learning
TL;DR: In this paper , a large-scale real-world radio signal dataset is created based on a special aeronautical monitoring system - Automatic Dependent Surveillance-Broadcast (ADS-B).
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Large-scale real-world radio signal recognition with deep learning
TL;DR: In this paper, a large-scale real-world radio signal dataset is created based on a special aeronautical monitoring system - Automatic Dependent Surveillance-Broadcast (ADS-B).
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Evolutionary dynamics of promoting electric vehicle-charging infrastructure based on public–private partnership cooperation
Christopher J Kopka,Xingjun Huang,Yun Lin,Ming K. Lim,Ming K. Lim,Fuli Zhou,Rui Ding,Zusheng Zhang +7 more
TL;DR: In this paper, the feasibility of overcoming the social dilemma by examining possible incentive mechanisms involving government, charging infrastructure operators, real estate agencies, and electric vehicle users was examined by leveraging evolutionary game theory, and a theoretical model based on strategic interactions among different agents in promoting charging facilities in urban residential areas.
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Evolutionary dynamics of promoting electric vehicle-charging infrastructure based on public–private partnership cooperation
TL;DR: In this article , the feasibility of overcoming the social dilemma by examining possible incentive mechanisms involving government, charging infrastructure operators, real estate agencies, and electric vehicle users was examined by leveraging evolutionary game theory, and a theoretical model based on strategic interactions among different agents in promoting charging facilities in urban residential areas.
Investigation of Springtime Cloud Influence on Regional Climate and its Implication in Runoff Decline in Upper Colorado River Basin
TL;DR: In this article , the authors examined the subseasonal features of the annual trends of runoff and other associated hydroclimatic variables in the upper Colorado River basin (UCRB).
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