Results 1 to 10 of about 301,447 (168)
Insights into the Pharmacological Effects of Flavonoids: The Systematic Review of Computer Modeling. [PDF]
Int J Mol Sci, 2022 Taldaev A +4 more
europepmc +2 more sources
Computational Models in Electroencephalography [PDF]
Brain Topography, 2021 AbstractComputational models lie at the intersection of basic neuroscience and healthcare applications because they allow researchers to test hypotheses in silico and predict the outcome of experiments and interactions that are very hard to test in reality.
Katharina Glomb +5 more
openaire +5 more sources
Understanding the growth of the Fediverse through the lens of Mastodon
Applied Network Science, 2021 Open-source, Decentralized Online Social Networks (DOSNs) are emerging as alternatives to the popular yet centralized and profit-driven platforms like Facebook or Twitter.
Lucio La Cava +2 more
doaj +1 more source
Co-MLHAN: contrastive learning for multilayer heterogeneous attributed networks
Applied Network Science, 2022 Graph representation learning has become a topic of great interest and many works focus on the generation of high-level, task-independent node embeddings for complex networks. However, the existing methods consider only few aspects of networks at a time.
Liliana Martirano +2 more
doaj +1 more source
A Novel Imbalanced Ensemble Learning in Software Defect Predication
IEEE Access, 2021 With the availability of high-speed Internet and the advent of Internet of Things devices, modern software systems are growing in both size and complexity. Software defect prediction (SDP) guarantees the high quality of such complex systems. However, the
Jianming Zheng +4 more
doaj +1 more source
Spatial Domain Indirect Holography for a Full Phaseless Approach to Biomedical Microwave Imaging
IEEE Open Journal of Antennas and Propagation, 2022 Microwave imaging approaches generally require the knowledge of the complex incident field distribution inside the imaging domain. This task can be accomplished by probing the observation domain, thus resulting in a time-consuming process, or assuming a ...
Sandra Costanzo +2 more
doaj +1 more source
Advanced Engineering Research, 2020 Introduction. Modeling serves as a methodological basis for modern science and a tool for cognitive activity. It can be considered as a thinking activity mediated and optimized through information models. In this case, logical operations of cognition and
M. V. Yadrovskaya
doaj +1 more source
Graph convolutional and attention models for entity classification in multilayer networks
Applied Network Science, 2021 Graph Neural Networks (GNNs) are powerful tools that are nowadays reaching state of the art performances in a plethora of different tasks such as node classification, link prediction and graph classification.
Lorenzo Zangari +3 more
doaj +1 more source
Computational Models of Neuromodulation [PDF]
Neural Computation, 1998 Computational modeling of neural substrates provides an excellent theoretical framework for the understanding of the computational roles of neuromodulation. In this review, we illustrate, with a large number of modeling studies, the specific computations performed by neuromodulation in the context of various neural models of invertebrate and ...
Jean-Marc Fellous, Christiane Linster
openaire +2 more sources
Current Opinion in Neurobiology, 1994 Computation modelling is playing an increasingly accepted and important role in neuroscience. It is not a unitary enterprise, though, and the distinction between two different sorts of modelling, one interested in description and the other also in function, is illustrated by their application to activity-dependent developmental plasticity and adult ...
openaire +3 more sources