Category: 7. Maths
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Time series causal relationships discovery through feature importance and ensemble models
We tested our algorithms in different datasets to check causal relationships between time series. In “Climate” section, we show the results of applying causality tests to weather-related time series. “Synthetic oil production field” section provides the results of applying causality in time series related to a synthetic reservoir. Finally, in “Actual oil production field” section,…
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Integrating local and global information to identify influential nodes in complex networks
Background analysis Suppose a network is denoted as \(G = \left( {V,E} \right)\) where V is the set of nodes and E represents the edges. If there is an edge between node i and node j, then \(a_{ij} = 1\) they are directly connected, while if there is no edge, then \(a_{ij} = 0\) they…
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E pluribus unum interpretable convolutional neural networks
Datasets EPU-CNN was trained and evaluated on nine different datasets. Initially, a dataset specifically created for the evaluation of the interpretability capabilities of EPU-CNN was considered. The purpose of using this dataset was to demonstrate the capabilities of EPU-CNN with clear, simple, and perceptually meaningful examples. Considering biomedicine as a critical application area for explainable…
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Analyzing of optimal classifier selection for EEG signals of depression patients based on intelligent fuzzy decision support systems
In this section, we generalized the aggregation operators of LDFSs by using the concept of extended copulas and copula. First, we proposed extended copulas and generators of extended copulas for LDFSs. Operational laws of LDFSs using extended copulas This section provides a detailed description of the operational laws of extended copulas32 and their generators and…
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Quantum gene regulatory networks | npj Quantum Information
The implementation of our package QuantumGRN is achieved using NumPy, Pandas, Matplotlib, iGraph and Qiskit—an open-source library for working with quantum computer simulators. Our package uses the Aer Simulator backend for a noisy circuit simulator. More details about code implementation and dataset can be found in data and code availability sections. Quantum computation theory In…
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Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data
A total of 6854 suspected cases had been referred to Ayatollah Talleghani Hospital, where records of 815 positive RT-PCR patients remained after applying the exclusion criteria. Overall, 54.85% of the enrolled patients were male and the mean age of the study population was 57.22 ± 16.76 years. As was mentioned, the deceased group contained only 108 records (13%)…
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Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation
Doi, K. Computer-aided diagnosis in medical imaging: historical review, current status and future potential. Comput. Med. Imag. Graph. 31, 198–211 (2007). Article Google Scholar Shen, D., Wu, G. & Suk, H.-I. Deep learning in medical image analysis. Annu. Rev. Biomed. Eng. 19, 221–248 (2017). Article Google Scholar Isensee, F., Jaeger, P. F., Kohl, S. A.,…
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Active querying approach to epidemic source detection on contact networks
In this section, we describe the three main components of our approach. First, we introduce the inference mechanism. Second, we describe the method we use to compute individual node state probabilities given a source node and a starting time. Finally, we present three active querying strategies. Inference We assume that only the SIR parameters of…
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Probing the solar coronal magnetic field with physics-informed neural networks
Wiegelmann, T., Petrie, G. J. D. & Riley, P. Coronal magnetic field models. Space Sci. Rev. 210, 249–274 (2017). Article ADS Google Scholar Green, L. M., Török, T., Vršnak, B., Manchester, W. & Veronig, A. The origin, early evolution and predictability of solar eruptions. Space Sci. Rev. 214, 46 (2018). Article ADS Google Scholar Wiegelmann,…
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Addressing the harms of AI-generated inauthentic content
Addressing the harms of AI-generated inauthentic content Continue Reading News Source: www.nature.com