Results 31 to 40 of about 4,252,298 (276)
Multiple Dirichlet series and shifted convolutions
Journal of Number Theory, 2016 We define, and obtain the meromorphic continuation of, shifted Rankin-Selberg convolutions in one and two variables. As sample applications, this continuation is used to obtain estimates for single and double shifted sums and a Burgess-type bound for $L$-series associated to modular forms of arbitrary central character.
Jeff Hoffstein +2 more
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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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Convolution operators and the discrete Laplacian [PDF]
, 2009 PhDIn this thesis, we obtain new results for convolution operators on homogeneous spaces and give applications to the Laplacian on a homogeneous graph. Some of these results have been published in joint papers [13, 14] with my supervisor.
Chen, Chung-Chuan
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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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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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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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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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