Results 11 to 20 of about 116,230 (268)
Explainable artificial intelligence for heart rate variability in ECG signal
Healthcare Technology Letters, 2020 Electrocardiogram (ECG) signal is one of the most reliable methods to analyse the cardiovascular system. In the literature, there are different deep learning architectures proposed to detect various types of tachycardia diseases, such as atrial ...
Sanjana K. +4 more
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TASK Quarterly, 2017 A Research Object (RO) is defined as a semantically rich aggregation of resources that bundles together essential information relating to experiments and investigations. This information is not limited merely to the data used and the methods employed to
MARCIN KRYSTEK +4 more
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, 2004 We consider the categorical concepts of a ‘network of networks’: (a) each node is a host network (1-network or 1-graph) and super-links are analogous to a graph-functor, i.e. this is (1,1)-network; (b) 2-network where there are 2-links among 1-links. The general notion of network-morphism is proposed.
José de Jesús Cruz Guzmán +1 more
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Robustness of a Network of Networks [PDF]
Physical Review Letters, 2011 Almost all network research has been focused on the properties of a single network that does not interact and depends on other networks. In reality, many real-world networks interact with other networks. Here we develop an analytical framework for studying interacting networks and present an exact percolation law for a network of $n$ interdependent ...
Jianxi Gao +3 more
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The impact of digital transformation on the continuing training of Hungarian teachers – Peculiarities of distance education [PDF]
Revista de Știinţe Educaţiei, 2023 One of the specific areas of the global digital transformation in education is the continuing professional training of teachers. In this formal adult training that has taken place alongside work in the last 30 years, the impact of digital ...
András Benedek
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NetML: Networking Networks [PDF]
2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing, 2011 Net ML is a system which runs in a browser -- with help from "the cloud'" which can be used to analyse and design networks. Versions of Net ML have existed for 10 years however the version now available is the first to include full graphical editing as well as a rich collection of network design and analysis tools.
Ronald G. Addie, Yu Peng, Moshe Zukerman
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Clustering analysis of tumor metabolic networks
BMC Bioinformatics, 2020 Background Biological networks are representative of the diverse molecular interactions that occur within cells. Some of the commonly studied biological networks are modeled through protein-protein interactions, gene regulatory, and metabolic pathways ...
Ichcha Manipur +3 more
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Foundations of Computing and Decision Sciences, 2014 Heterogeneous many-core computing resources are increasingly popular among users due to their improved performance over homogeneous systems. Many developers have realized that heterogeneous systems, e.g.
Ciznicki Milosz +2 more
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Management : Journal of Contemporary Management Issues, 2020 By understanding social capital as a link between the concept of social embeddedness and networking, this paper seeks to contribute to the understanding of the high-tech entrepreneurship process as a socially situated and influenced practice.
Tamara Šmaguc, Ksenija Vuković
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Proceedings of International Conference on Artificial Life and Robotics, 2020 We introduce network with sub-networks, a neural network which its weight layers could be detached into sub-neural networks during inference. To develop weights and biases which could be inserted in both base and sub-neural networks, firstly, the parameters are copied from sub-model to base-model. Each model is forward-propagated separately.
Fuengfusin, Ninnart, Tamukoh, Hakaru
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