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Found 4 papers, 0 papers with code
Deep Learning in Computational Biology: Advancements, Challenges, and Future Outlook
Deep learning has become a powerful tool in computational biology, revolutionising the analysis and interpretation of biological data over time.
OLGA : An Ontology and LSTM-based approach for generating Arithmetic Word Problems (AWPs) of transfer type
We use an extension of TC-Ontology, proposed by us previously, to determine the consistency of problems.
Remedy of some cosmological tensions via effective phantom-like behavior of interacting vacuum energy
We use the Planck 2018, BAO, JLA, KiDS and HST data to investigate two extensions of the base $\Lambda$CDM model, viz., (i) we allow the interaction among vacuum energy and dark matter, namely the I$\Lambda$CDM model, wherein the interaction strength is proportional to the vacuum energy density and expansion rate of the Universe, and (ii) the I$\Lambda$CDM scenario with free effective neutrino mass and number, namely the $\nu$I$\Lambda$CDM model.
Cosmology and Nongalactic Astrophysics General Relativity and Quantum Cosmology
Reconstruction of the dark sectors' interaction: A model-independent inference and forecast from GW standard sirens
Interacting dark matter (DM) - dark energy (DE) models have been intensively investigated in the literature for their ability to fit various data sets as well as to explain some observational tensions persisting within the $\Lambda$CDM cosmology.
Gaussian Processes
Cosmology and Nongalactic Astrophysics
