Results 51 to 60 of about 487,487 (101)
Photograph originally appeared in the 'Swinburne Newsletter', 15 October 1981. Graduation Ceremony, September 1981.
Swinburne Institute of Technology
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Combining Fractional Derivatives and Machine Learning: A Review. [PDF]
Raubitzek S, Mallinger K, Neubauer T.
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FASTCUDA: Open Source FPGA Accelerator & Hardware-Software Codesign Toolset for CUDA Kernels [PDF]
Using FPGAs as hardware accelerators that communicate with a central CPU is becoming a common practice in the embedded design world but there is no standard methodology and toolset to facilitate this path yet.
I. Papaefstathiou +20 more
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Symbols of Pseudodifferential Operators Associated to Gevrey Kernel's Type [PDF]
In this article, we aim at proving the truthfulness of the inverse Theorem (1) of [5]. More precisely, we associated symbols of Gevrey type to pseudodifferential operators when the latter are given by their kernels.
Hazi, Mohammed
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On generalized fractional differential equation with Sonine kernel on a function space
Sonine kernel is a special type of the general kernels, satisfying some integrability and monotonicity conditions and properties. Sonine kernels generate some convolution polynomials (power functions) used in the construction of the general fractional calculus.
openaire +2 more sources
NPB Benchmark Kernels for GPU with CUDA
NPB Benchmark Kernels for GPU with CUDA Reference Paper Citation [DOI] Araujo, G. A. ; Griebler, D. ; Danelutto, M. ; Fernandes, L. G. Efficient NAS Benchmark Kernels with CUDA.
Fernandes, Luiz Gustavo +2 more
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Overdosing with apricot kernels – seriously?
Dear Sir, Psychiatrists reading RANZCP journals may not be aware of risks posed by stone fruit, in particular apricot kernels. This letter aims to educate psychiatrists on the risks of cyanide poisoning from apricot kernels.
Gleadow, R, Beckmann, KM
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apendergrass/cam5-kernels: Up to date codebase as of August 2019
Demos and tools for radiative feedback kernels from CESM ...
Angeline G Pendergrass
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Canonical Higher-Order Kernels for Density Derivative Estimation [PDF]
In this note we present r th order kernel density derivative estimators using canonical higher-order kernels. These canonical rescalings uncouple the choice of kernel and scale factor. This approach is useful for selection of the order of the kernel in a
Christopher F. Parmeter +1 more
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Методы обеззараживания воздуха в помещениях [PDF]
Salnikova S. R., Sonin Yu. Yu.
Сальникова, Светлана Рудольфовна +1 more
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