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Deep Residual Learning for Image Recognition: A Survey
Applied Sciences, 2022 Deep Residual Networks have recently been shown to significantly improve the performance of neural networks trained on ImageNet, with results beating all previous methods on this dataset by large margins in the image classification task.
Muhammad Shafiq, Zhaoquan Gu
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Malaria Journal, 2017 Background Indoor residual spraying is one of the key vector control interventions for malaria control in Ethiopia. As malaria transmission is seasonal in most parts of Ethiopia, a single round of spraying can usually provide effective protection against
Delenasaw Yewhalaw +11 more
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Insects, 2021 The biopesticide Aprehend, containing spores of the entomopathogenic fungus Beauveria bassiana, is a biological control agent for the management of the common bed bug (Cimex lectularius L.) (Hemiptera: Cimicidae).
Ikkei Shikano +3 more
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Dilated Residual Networks [PDF]
Computer Vision and Pattern Recognition, 2017 Convolutional networks for image classification progressively reduce resolution until the image is represented by tiny feature maps in which the spatial structure of the scene is no longer discernible.
F. Yu, V. Koltun, T. Funkhouser
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Malaria Journal, 2017 Background Indoor residual spraying (IRS) is being implemented as one of the malaria prevention methods in the Northern Region of Ghana. Changes in longevity, sporozoite and entomological inoculation rates (EIRs) of major malaria vectors were monitored ...
Sylvester Coleman +13 more
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Modern Physics Letters A, 1991 We discuss when and how the Verlinde dimensions of a rational conformal field theory can be expressed as correlation functions in a topological LG theory. It is seen that a necessary condition is that the RCFT fusion rules must exhibit an extra symmetry. We consider two particular perturbations of the Grassmannian superpotentials.
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The Journal of Geometric Analysis, 2023 The Riesz $z$-energy of a manifold $X$ is the integration of the distance between two points to the power $z$ over the product space $X\times X$. Considered as a function of a complex variable $z$, it can be generalized to a meromorphic function by analytic continuation, which we will call the meromorphic energy function of $X$.
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Neutrosophic Quadratic Residues and Non-Residues
Neutrosophic Sets and Systems, 2021 In this paper, we present the Neutrosophic quadratic residues and nonresidues with their basic interpretation as graphs in an algebraic manner and analog to the algebraic graphs. We establish the Neutrosophic, number-theoretic, and graph-theoretic properties of the set of Neutrosophic quadratic residues and nonresidues, many of which mirror those of ...
Chalapathi Tekuri +2 more
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Energies, 2022 By harnessing gasoline’s low reactivity for partially premixed combustion promotion, gasoline compression ignition (GCI) combustion shows the potential to produce markedly improved NOx-soot trade-off with high fuel efficiency compared to conventional ...
Praveen Kumar, Yu Zhang
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Proceedings of the American Mathematical Society, 1980 It is shown that the class of structures residually in a universal class closed under elementary equivalence is definable by a sentence of L ∞ ω {L_{\infty \omega }} .
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