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Big Data Deep Learning: Challenges and Perspectives
Big Data Deep Learning: Challenges and Perspectives
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Big Data Deep Learning: Challenges and Perspectives

Xue-Wen, Chen ; Lin, Xiaotong

IEEE access, 2014, Vol.2, p.514-525 [Periódico revisado por pares]

Piscataway: IEEE

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Basic Enhancement Strategies When Using Bayesian Optimization for Hyperparameter Tuning of Deep Neural Networks
Basic Enhancement Strategies When Using Bayesian Optimization for Hyperparameter Tuning of Deep Neural Networks
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Basic Enhancement Strategies When Using Bayesian Optimization for Hyperparameter Tuning of Deep Neural Networks

Cho, Hyunghun ; Kim, Yongjin ; Lee, Eunjung ; Choi, Daeyoung ; Lee, Yongjae ; Rhee, Wonjong

IEEE access, 2020, Vol.8, p.52588-52608 [Periódico revisado por pares]

Piscataway: IEEE

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3
A Parallel GRU Recurrent Network Model and its Application to Multi-Channel Time-Varying Signal Classification
A Parallel GRU Recurrent Network Model and its Application to Multi-Channel Time-Varying Signal Classification
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A Parallel GRU Recurrent Network Model and its Application to Multi-Channel Time-Varying Signal Classification

Xu, Shaohua ; Li, Jingjing ; Liu, Kun ; Wu, Lu

IEEE access, 2019, Vol.7, p.118739-118748 [Periódico revisado por pares]

Piscataway: IEEE

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4
Intelligent Decision-Making of Load Balancing Using Deep Reinforcement Learning and Parallel PSO in Cloud Environment
Intelligent Decision-Making of Load Balancing Using Deep Reinforcement Learning and Parallel PSO in Cloud Environment
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Intelligent Decision-Making of Load Balancing Using Deep Reinforcement Learning and Parallel PSO in Cloud Environment

Pradhan, Arabinda ; Bisoy, Sukant Kishoro ; Kautish, Sandeep ; Jasser, Muhammed Basheer ; Mohamed, Ali Wagdy

IEEE access, 2022, Vol.10, p.76939-76952 [Periódico revisado por pares]

Piscataway: IEEE

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5
Enabling All In-Edge Deep Learning: A Literature Review
Enabling All In-Edge Deep Learning: A Literature Review
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Enabling All In-Edge Deep Learning: A Literature Review

Joshi, Praveen ; Hasanuzzaman, Mohammed ; Thapa, Chandra ; Afli, Haithem ; Scully, Ted

IEEE access, 2023-01, Vol.11, p.1-1 [Periódico revisado por pares]

Piscataway: IEEE

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6
An Efficient Rolling Bearing Fault Diagnosis Method Based on Spark and Improved Random Forest Algorithm
An Efficient Rolling Bearing Fault Diagnosis Method Based on Spark and Improved Random Forest Algorithm
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An Efficient Rolling Bearing Fault Diagnosis Method Based on Spark and Improved Random Forest Algorithm

Wan, Lanjun ; Gong, Kun ; Zhang, Gen ; Yuan, Xinpan ; Li, Changyun ; Deng, Xiaojun

IEEE access, 2021, Vol.9, p.37866-37882 [Periódico revisado por pares]

Piscataway: IEEE

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7
A Deep Learning Based Fault Diagnosis Method with Hyperparameter Optimization by Using Parallel Computing
A Deep Learning Based Fault Diagnosis Method with Hyperparameter Optimization by Using Parallel Computing
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A Deep Learning Based Fault Diagnosis Method with Hyperparameter Optimization by Using Parallel Computing

Guo, Chaozhong ; Li, Lin ; Hu, Yuanyuan ; Yan, Jihong

IEEE access, 2020-01, Vol.8, p.1-1 [Periódico revisado por pares]

Piscataway: IEEE

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8
CP-CNN: Computational Parallelization of CNN-Based Object Detectors in Heterogeneous Embedded Systems for Autonomous Driving
CP-CNN: Computational Parallelization of CNN-Based Object Detectors in Heterogeneous Embedded Systems for Autonomous Driving
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CP-CNN: Computational Parallelization of CNN-Based Object Detectors in Heterogeneous Embedded Systems for Autonomous Driving

Chun, Dayoung ; Choi, Jiwoong ; Lee, Hyuk-Jae ; Kim, Hyun

IEEE access, 2023, Vol.11, p.52812-52823 [Periódico revisado por pares]

Piscataway: IEEE

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9
Fast Implementation of SHA-3 in GPU Environment
Fast Implementation of SHA-3 in GPU Environment
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Fast Implementation of SHA-3 in GPU Environment

Choi, Hojin ; Seo, Seog Chung

IEEE access, 2021, Vol.9, p.144574-144586 [Periódico revisado por pares]

Piscataway: IEEE

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10
APNAS: Accuracy-and-Performance-Aware Neural Architecture Search for Neural Hardware Accelerators
APNAS: Accuracy-and-Performance-Aware Neural Architecture Search for Neural Hardware Accelerators
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APNAS: Accuracy-and-Performance-Aware Neural Architecture Search for Neural Hardware Accelerators

Achararit, Paniti ; Hanif, Muhammad Abdullah ; Putra, Rachmad Vidya Wicaksana ; Shafique, Muhammad ; Hara-Azumi, Yuko

IEEE access, 2020, Vol.8, p.165319-165334 [Periódico revisado por pares]

Piscataway: IEEE

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