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1
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions
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A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions

Ren, Pengzhen ; Xiao, Yun ; Chang, Xiaojun ; Huang, Po-yao ; Li, Zhihui ; Chen, Xiaojiang ; Wang, Xin

ACM computing surveys, 2021-07, Vol.54 (4), p.1-34 [Periódico revisado por pares]

Baltimore: Association for Computing Machinery

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Neural Architecture Search Survey: A Hardware Perspective
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Neural Architecture Search Survey: A Hardware Perspective

Chitty-Venkata, Krishna Teja ; Somani, Arun K.

ACM computing surveys, 2022-11, Vol.55 (4), p.1-36, Article 78 [Periódico revisado por pares]

New York, NY: ACM

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3
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture
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Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture

Chen, C. L. Philip ; Liu, Zhulin

IEEE transaction on neural networks and learning systems, 2018-01, Vol.29 (1), p.10-24

United States: IEEE

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4
A Survey of IoT Applications in Blockchain Systems: Architecture, Consensus, and Traffic Modeling
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A Survey of IoT Applications in Blockchain Systems: Architecture, Consensus, and Traffic Modeling

Lao, Laphou ; Li, Zecheng ; Hou, Songlin ; Xiao, Bin ; Guo, Songtao ; Yang, Yuanyuan

ACM computing surveys, 2020-02, Vol.53 (1), p.1-32 [Periódico revisado por pares]

Baltimore: Association for Computing Machinery

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5
Scene Recognition by Manifold Regularized Deep Learning Architecture
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Scene Recognition by Manifold Regularized Deep Learning Architecture

Yuan, Yuan ; Mou, Lichao ; Lu, Xiaoqiang

IEEE transaction on neural networks and learning systems, 2015-10, Vol.26 (10), p.2222-2233

United States: IEEE

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6
Subarchitecture Ensemble Pruning in Neural Architecture Search
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Subarchitecture Ensemble Pruning in Neural Architecture Search

Bian, Yijun ; Song, Qingquan ; Du, Mengnan ; Yao, Jun ; Chen, Huanhuan ; Hu, Xia

IEEE transaction on neural networks and learning systems, 2022-12, Vol.33 (12), p.7928-7936

United States: IEEE

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7
FAST TCP: Motivation, Architecture, Algorithms, Performance
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FAST TCP: Motivation, Architecture, Algorithms, Performance

Wei, D.X. ; Cheng Jin ; Low, S.H. ; Hegde, S.

IEEE/ACM transactions on networking, 2006-12, Vol.14 (6), p.1246-1259 [Periódico revisado por pares]

New York: IEEE

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8
Low‐space bit‐serial systolic array architecture for interleaved multiplication over GF(2m)
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Low‐space bit‐serial systolic array architecture for interleaved multiplication over GF(2m)

Ibrahim, Atef

Chronic diseases and translational medicine, 2021-05, Vol.15 (3), p.223-229 [Periódico revisado por pares]

Beijing: John Wiley & Sons, Inc

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9
Resource Management in Fog/Edge Computing: A Survey on Architectures, Infrastructure, and Algorithms
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Resource Management in Fog/Edge Computing: A Survey on Architectures, Infrastructure, and Algorithms

Hong, Cheol-Ho ; Varghese, Blesson

ACM computing surveys, 2020-09, Vol.52 (5), p.1-37 [Periódico revisado por pares]

Baltimore: Association for Computing Machinery

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10
Hyperseed: Unsupervised Learning With Vector Symbolic Architectures
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Hyperseed: Unsupervised Learning With Vector Symbolic Architectures

Osipov, Evgeny ; Kahawala, Sachin ; Haputhanthri, Dilantha ; Kempitiya, Thimal ; De Silva, Daswin ; Alahakoon, Damminda ; Kleyko, Denis

IEEE transaction on neural networks and learning systems, 2024-05, Vol.35 (5), p.6583-6597

United States: IEEE

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