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Article
BIGOWL: Knowledge centered Big Data analytics
(Elsevier, 2019)
Knowledge extraction and incorporation is currently considered to be beneficial for efficient Big Data an- alytics. Knowledge can take part in workflow design, constraint definition, parameter selection and con- figuration, ...
Article
Minimal cooperation as a way to achieve the efficiency in cell-like membrane systems
(Springer, 2019)
Cooperation is doubtless a relevant ingredient on rewriting rules based computing models. This paper provides an overview on both classical and newest results studying how cooperation among objects influences the ability ...
Article
Bio-inspired optimization for the molecular docking problem: State of the art, recent results and perspectives
(Elsevier, 2019)
Molecular docking is a Bioinformatics method based on predicting the position and orientation of a small molecule or ligand when it is bound to a target macromolecule. This method can be modeled as an optimization problem ...
Article
Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids
(Hindawi, 2019)
Communication networks as smart infrastructure systems play an important role in smart girds to monitor, control, and manage the operation of electrical networks. However, due to the interdependencies between communication ...
Article
Representative Datasets: The Perceptron Case
(Cornell University, 2019)
One of the main drawbacks of the practical use of neural networks is the long time needed in the training process. Such training process consists in an iterative change of parameters trying to minimize a loss function. ...
Article
Adjacent Graph Based Vulnerability Assessment for Electrical Networks Considering Fault Adjacent Relationships Among Branches
(IEEE Computer Society, 2019)
Security issues related to vulnerability assessment in electrical networks are necessary for operators to identify the critical branches. At present, using complex network theory to assess the structural vulnerability of ...
Article
P‑Lingua in two steps: flexibility and efficiency
(Springer, 2019)
Membrane computing is a bio-inspired computing paradigm that lacks in vivo implementation. That is why software or hardware implementations have to be used to validate models. Several tools have been created for this ...
Article
Improving Skip-Gram based Graph Embeddings via Centrality-Weighted Sampling
(Cornell University, 2019)
Network embedding techniques inspired by word2vec represent an e ective unsuper- vised relational learning model. Commonly, by means of a Skip-Gram procedure, these techniques learn low dimensional vector representations ...
Article
Interval-valued fuzzy spiking neural P systems for fault diagnosis of power transmission networks
(Elsevier, 2019)
It is a challenge problem how to deal with the uncertainty in fault diagnosis of power systems. To solve the challenge problem, this paper introduces an interval-valued fuzzy spiking neural P system (IVFSNP system), where ...
Article