Results 21 to 30 of about 45,363 (158)
Properties of convolutions for hypergeometric series with univalent functions [PDF]
Advances in Difference Equations, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kim, Ji A., Cho, Nak Eun
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Context-Aware Traffic Prediction Framework Based on Series Decomposition
IEEE Access, 2020 Forecasting traffic flow is a typical time series problem, which has attracted increasing attention due to the urgent need in intelligent transportation systems.
Tao Ruan +6 more
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Depth Separable-CNN for Improved Spectral Super-Resolution
IEEE Access, 2023 Hyperspectral Image reconstruction from RGB images is a low-cost and convenient alternative to acquiring hyperspectral images directly. The challenge in estimating the spectral response function and using it for generating the hyperspectral image data is
Sadia Hussain, Brejesh Lall
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Operational Calculus for the 1st-Level General Fractional Derivatives and Its Applications
MathematicsThe 1st-level General Fractional Derivatives (GFDs) combine in one definition the GFDs of the Riemann–Liouville type and the regularized GFDs (or the GFDs of the Caputo type) that have been recently introduced and actively studied in the fractional ...
Maryam Alkandari, Yuri Luchko
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SPECIAL VALUES OF SHIFTED CONVOLUTION DIRICHLET SERIES [PDF]
Mathematika, 2015 18 pages, corrected slight error in main theorem and made according minor edits in Sections 3.4 and 3 ...
Mertens, Michael H, Ono, Ken
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EpidemicsThe time-varying reproduction number R(t) measures the number of new infections per infectious individual and is closely correlated with the time series of infection incidence by definition. The timings of actual infections are rarely known, and analysis
Oliver Eales, Steven Riley
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Hardware design of convolution calculation module based on systolic array
Dianzi Jishu Yingyong, 2020 Aiming at the long broadcast, much fan in/fan out data path problem brought by high parullelism in the process of the Field Programmable Gate Array(FPGA) to realize the convolution computation in convolutional neural network, this paper adopts pulse ...
Wang Chunlin, Tan Kejun
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GTAD: Graph and Temporal Neural Network for Multivariate Time Series Anomaly Detection
Entropy, 2022 The rapid development of smart factories, combined with the increasing complexity of production equipment, has resulted in a large number of multivariate time series that can be recorded using sensors during the manufacturing process.
Siwei Guan +4 more
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Poisson Approximation to the Convolution of Power Series Distributions
Probability and Mathematical Statistics, 2022 15 ...
Kumar, A. N., Vellaisamy, P., Viens, F.
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GAD:topology-aware time series anomaly detection
Tongxin xuebao, 2020 To solve the problems of anomaly detection,intelligent operation,root cause analysis of node equipment in the network,a graph-based gated convolutional codec anomaly detection model was proposed for time series data such as link delay,network throughput ...
Qi QI, Runye SHEN, Jingyu WANG
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