The Deep Learning Evolution in Wireless Physical Layer Communications: Applications, Challenges, and Evolutionary Directions. [PDF]
Xu H, Liang Y, Xie R, Kong Y.
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Current and Future Potential Distribution of the Invasive Thrips <i>Echinothrips americanus</i> (Terebrantia: Thripidae) Under Global Climate Change. [PDF]
Hu Q, Wang C, Yang X, Wang F.
europepmc +1 more source
Multidimensional Diversity Identifies Mountains as Key Refugia for Caudata in China. [PDF]
Sui LL +5 more
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Assessing Trade-Offs in Climate Impacts across Various Circular Economy Strategies for Japan's Battery Industry. [PDF]
He Z +5 more
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Animal production under climate change: a global scientometric analysis of research structure, thematic evolution, and knowledge gaps. [PDF]
Silveira RMF, McManus C, da Silva IJO.
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Scenarios for the evolution of marine ecosystems
Maury, Olivier, Shin, Yunne-Jai
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The evolution of the IPCC's emissions scenarios
Abstract The IPCC's emissions scenarios form the basis for the majority of long-term climate change projections, including those of the current Fourth Assessment Report. The main characteristics of the IPCC's three scenario series – published in 1990, 1992 and 2000 – have changed significantly over time: titles, classification, assumptions and ...
Bastien Girod, Arnim Wiek, Mike Hulme
exaly +4 more sources
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Creative Strategic Scenarios for preparation to requirements evolution
2014 IEEE 22nd International Requirements Engineering Conference (RE), 2014The focus of this research is Creative Strategic Scenarios as predictive models of software evolution for socio-technical systems in organizations. This research seeks to combine theories of Strategic Planning and Creativity to generate strategic scenarios that could predict Organizational Changes.
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Differential Evolution for VNE-5G Scenarios
2021 11th IFIP International Conference on New Technologies, Mobility and Security (NTMS), 2021Network slicing is a key component of the envisioned 5G network. The slicing process is mathematically known as a virtual network embedding problem (VNE). Embedding a large number of virtual networks to a real physical network over time is an NP-Hard problem, and it becomes more complex when regarding different requirements of distinct types of network
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