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1
A review of convolutional neural network architectures and their optimizations
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A review of convolutional neural network architectures and their optimizations

Cong, Shuang ; Zhou, Yang

The Artificial intelligence review, 2023-03, Vol.56 (3), p.1905-1969 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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2
A prefetch control strategy based on improved hill-climbing method in asymmetric multi-core architecture
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A prefetch control strategy based on improved hill-climbing method in asymmetric multi-core architecture

Fang, Juan ; Xu, Yixiang ; Kong, Han ; Cai, Min

The Journal of supercomputing, 2023-07, Vol.79 (10), p.10570-10588 [Periódico revisado por pares]

New York: Springer US

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3
Bayesian inference of root architectural model parameters from synthetic field data
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Bayesian inference of root architectural model parameters from synthetic field data

Morandage, Shehan ; Laloy, Eric ; Schnepf, Andrea ; Vereecken, Harry ; Vanderborght, Jan

Plant and soil, 2021-10, Vol.467 (1-2), p.67-89 [Periódico revisado por pares]

Cham: Springer International Publishing

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4
Exploring the suitability of source code metrics for indicating architectural inconsistencies
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Exploring the suitability of source code metrics for indicating architectural inconsistencies

Lenhard, Jörg ; Blom, Martin ; Herold, Sebastian

Software quality journal, 2019-03, Vol.27 (1), p.241-274 [Periódico revisado por pares]

New York: Springer US

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5
Compiler-directed scratchpad memory data transfer optimization for multithreaded applications on a heterogeneous many-core architecture
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Compiler-directed scratchpad memory data transfer optimization for multithreaded applications on a heterogeneous many-core architecture

Tao, Xiaohan ; Pang, Jianmin ; Xu, Jinlong ; Zhu, Yu

The Journal of supercomputing, 2021-12, Vol.77 (12), p.14502-14524 [Periódico revisado por pares]

New York: Springer US

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6
Potential of a modern vector supercomputer for practical applications: performance evaluation of SX-ACE
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Potential of a modern vector supercomputer for practical applications: performance evaluation of SX-ACE

Egawa, Ryusuke ; Komatsu, Kazuhiko ; Momose, Shintaro ; Isobe, Yoko ; Musa, Akihiro ; Takizawa, Hiroyuki ; Kobayashi, Hiroaki

The Journal of supercomputing, 2017-09, Vol.73 (9), p.3948-3976 [Periódico revisado por pares]

New York: Springer US

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7
A Spatiotemporal Convolutional Neural Network for Automatic Pain Intensity Estimation from Facial Dynamics
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A Spatiotemporal Convolutional Neural Network for Automatic Pain Intensity Estimation from Facial Dynamics

Tavakolian, Mohammad ; Hadid, Abdenour

International journal of computer vision, 2019-10, Vol.127 (10), p.1413-1425 [Periódico revisado por pares]

New York: Springer US

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8
Irregular accesses reorder unit: improving GPGPU memory coalescing for graph-based workloads
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Irregular accesses reorder unit: improving GPGPU memory coalescing for graph-based workloads

Segura, Albert ; Arnau, Jose Maria ; Gonzalez, Antonio

The Journal of supercomputing, 2023, Vol.79 (1), p.762-787 [Periódico revisado por pares]

New York: Springer US

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9
Root architecture governs plasticity in response to drought
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Root architecture governs plasticity in response to drought

Fry, Ellen L. ; Evans, Amy L. ; Sturrock, Craig J. ; Bullock, James M. ; Bardgett, Richard D.

Plant and soil, 2018-12, Vol.433 (1/2), p.189-200 [Periódico revisado por pares]

Cham: Springer

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10
Design of a software architecture supporting business-to-government information sharing to improve public safety and security: Combining business rules, Events and blockchain technology
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Design of a software architecture supporting business-to-government information sharing to improve public safety and security: Combining business rules, Events and blockchain technology

Engelenburg, Sélinde van ; Janssen, Marijn ; Klievink, Bram

Journal of intelligent information systems, 2019-06, Vol.52 (3), p.595-618 [Periódico revisado por pares]

New York: Springer US

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