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Computational Complexity of Smooth Differential Equations [PDF]
Logical Methods in Computer Science, 2014 The computational complexity of the solutions $h$ to the ordinary differential equation $h(0)=0$, $h'(t) = g(t, h(t))$ under various assumptions on the function $g$ has been investigated.
Akitoshi Kawamura +3 more
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The computational complexity of the Lorentz lattice gas [PDF]
, 1997 The Lorentz lattice gas is studied from the perspective of computational complexity theory. It is shown that using massive parallelism, particle trajectories can be simulated in a time that scales logarithmically in the length of the trajectory.
Jonathan Machta, K.J.M. Moriarty
openalex +3 more sources
Computational Complexity Reduction of Neural Networks of Brain Tumor Image Segmentation by Introducing Fermi-Dirac Correction Functions. [PDF]
Entropy (Basel), 2021 Tai YL, Huang SJ, Chen CC, Lu HH.
europepmc +3 more sources
CNVs in 8q24.3 do not influence gene co-expression in breast cancer subtypes
Frontiers in Genetics, 2023 Gene co-expression networks are a useful tool in the study of interactions that have allowed the visualization and quantification of diverse phenomena, including the loss of co-expression over long distances in cancerous samples.
Candelario Hernández-Gómez +5 more
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Less can be more: Pruning street networks for sustainable city-making
Transportation Research Interdisciplinary Perspectives, 2023 Current trends in urban planning aim at the reduction of space for private vehicles to promote alternative mobility, more diverse activities on streets and reduced pollution for healthier cities.
Javier Argota Sánchez-Vaquerizo +1 more
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Indonesian Journal of Pharmacy, 2021 Recently, the world is facing the outbreaks of severe acute respiratory syndrome coronavirus 2 or SARS-CoV-2 and the number of infected patients is increasing every day. Researchers are doing their best to find the most effective treatment to tackle this
Muhammad Aldino +5 more
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Improving the visibility of minorities through network growth interventions
Communications Physics, 2023 Improving the position of minority groups in networks through interventions is a challenge of high theoretical and societal importance. However, a systematic analysis of interventions that alter the network growth process is still missing.
Leonie Neuhäuser +4 more
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Computational single cell oncology: state of the art
Frontiers in Genetics, 2023 Single cell computational analysis has emerged as a powerful tool in the field of oncology, enabling researchers to decipher the complex cellular heterogeneity that characterizes cancer.
Ernesto Paas-Oliveros +5 more
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Efficient computation of optimal temporal walks under waiting-time constraints
Applied Network Science, 2020 Node connectivity plays a central role in temporal network analysis. We provide a broad study of various concepts of walks in temporal graphs, that is, graphs with fixed vertex sets but arc sets changing over time. Taking into account the temporal aspect
Matthias Bentert +3 more
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h-Index manipulation by undoing merges
Quantitative Science Studies, 2020 The h-index is an important bibliographic measure used to assess the performance of researchers. Dutiful researchers merge different versions of their articles in their Google Scholar profile even though this can decrease their h-index.
René van Bevern +5 more
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