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pro vyhledávání: '"Malik, Nishant"'
Model-free forecasting of the temporal evolution of chaotic systems is crucial but challenging. Existing solutions require hyperparameter tuning, significantly hindering their wider adoption. In this work, we introduce a tree-based approach not requi
Externí odkaz:
http://arxiv.org/abs/2403.13836
Autor:
Rana, Kamal, Bhuyan, Kushanav, Ferrer, Joaquin Vicente, Cotton, Fabrice, Ozturk, Ugur, Catani, Filippo, Malik, Nishant
The death toll and monetary damages from landslides continue to rise despite advancements in predictive modeling. The predictive capability of these models is limited as landslide databases used in training and assessing the models often have crucial
Externí odkaz:
http://arxiv.org/abs/2310.09631
With the recent increase in deforestation, forest fires, and regional temperatures, the concerns around the rapid and complete collapse of the Amazon rainforest ecosystem have heightened. The thresholds of deforestation and the temperature increase r
Externí odkaz:
http://arxiv.org/abs/2307.05505
We systematically investigate the phenomena of coherence resonance in time-delay coupled networks of FitzHugh-Nagumo elements in the excitable regime. Using numerical simulations, we examine the interplay of noise, time-delayed coupling and network t
Externí odkaz:
http://arxiv.org/abs/1709.03336
Publikováno v:
Phys. Rev. E 99, 062301 (2019)
Even though transitivity is a central structural feature of social networks, its influence on epidemic spread on coevolving networks has remained relatively unexplored. Here we introduce and study an adaptive SIS epidemic model wherein the infection
Externí odkaz:
http://arxiv.org/abs/1707.04933
We study a model for switching strategies in the Prisoner's Dilemma game on adaptive networks of player pairings that coevolve as players attempt to maximize their return. We use a node-based strategy model wherein each player follows one strategy at
Externí odkaz:
http://arxiv.org/abs/1702.05119
Akademický článek
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Network representations of systems from various scientific and societal domains are neither completely random nor fully regular, but instead appear to contain recurring structural building blocks. These features tend to be shared by networks belongin
Externí odkaz:
http://arxiv.org/abs/1610.05868
One of the fundamental structural properties of many networks is triangle closure. Whereas the influence of this transitivity on a variety of contagion dynamics has been previously explored, existing models of coevolving or adaptive network systems u
Externí odkaz:
http://arxiv.org/abs/1608.03337