A Dynamic Deep Neural Network Design for Efficient Workload Allocation in Edge Computing

2017 IEEE International Conference on Computer Design (ICCD) ◽

10.1109/iccd.2017.49 ◽

2017 ◽

Author(s):

Chi Lo ◽

Yu-Yi Su ◽

Chun-Yi Lee ◽

Shih-Chieh Chang

Keyword(s):

Neural Network ◽

Network Design ◽

Deep Neural Network ◽

Edge Computing ◽

Workload Allocation

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Deep neural network model optimizations for resource constrained tactical edge computing platforms

Disruptive Technologies in Information Sciences V ◽

10.1117/12.2585784 ◽

2021 ◽

Author(s):

Venkateswara R. Dasari ◽

Billy E. Geerhart ◽

Peng Wang ◽

David Alexander

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Deep Neural Network ◽

Edge Computing ◽

Resource Constrained ◽

Computing Platforms

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Adaptive Deep Neural Network Ensemble for Inference-as-a-Service on Edge Computing Platforms

10.1109/mass52906.2021.00013 ◽

2021 ◽

Author(s):

Yang Bai ◽

Lixing Chen ◽

Letian Zhang ◽

Mohamed Abdel-Mottaleb ◽

Jie Xu

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Edge Computing ◽

Neural Network Ensemble ◽

Computing Platforms

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Deep Neural Network Task Partitioning and Offloading for Mobile Edge Computing

2019 IEEE Global Communications Conference (GLOBECOM) ◽

10.1109/globecom38437.2019.9013404 ◽

2019 ◽

Author(s):

Mingjin Gao ◽

Wenqi Cui ◽

Di Gao ◽

Rujing Shen ◽

Jun Li ◽

...

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Edge Computing ◽

Mobile Edge Computing ◽

Task Partitioning

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Deep Neural Network Based Computational Resource Allocation for Mobile Edge Computing

2018 IEEE Globecom Workshops (GC Wkshps) ◽

10.1109/glocomw.2018.8644391 ◽

2018 ◽

Author(s):

Ji Li ◽

Tiejun Lv

Keyword(s):

Neural Network ◽

Resource Allocation ◽

Deep Neural Network ◽

Edge Computing ◽

Mobile Edge Computing ◽

Computational Resource

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Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing

IEEE Transactions on Wireless Communications ◽

10.1109/twc.2019.2946140 ◽

2020 ◽

Vol 19 (1) ◽

pp. 447-457 ◽

Author(s):

En Li ◽

Liekang Zeng ◽

Zhi Zhou ◽

Xu Chen

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Network Inference ◽

Edge Computing ◽

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Deep neural network design for SAR/ISAR-based automatic target recognition

Deep Neural Network Design for Radar Applications ◽

10.1049/sbra529e_ch8 ◽

2020 ◽

pp. 243-277

Keyword(s):

Neural Network ◽

Network Design ◽

Deep Neural Network ◽

Target Recognition ◽

Automatic Target Recognition

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Deep Neural Network Design for Radar Applications

10.1049/sbra529e ◽

2020 ◽

Keyword(s):

Neural Network ◽

Network Design ◽

Deep Neural Network ◽

Radar Applications

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Hybrid Fixed-Point/Binary Deep Neural Network Design Methodology for Low-Power Object Detection

IEEE Journal on Emerging and Selected Topics in Circuits and Systems ◽

10.1109/jetcas.2020.3015753 ◽

2020 ◽

Vol 10 (3) ◽

pp. 388-400

Author(s):

Jiun-In Guo ◽

Chia-Chi Tsai ◽

Jian-Lin Zeng ◽

Shao-Wei Peng ◽

En-Chih Chang

Keyword(s):

Neural Network ◽

Fixed Point ◽

Low Power ◽

Object Detection ◽

Network Design ◽

Design Methodology ◽

Deep Neural Network

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A Multi-Protocol Smart Sensing Method Based on Lightweight Deep Neural Network for Edge Computing

2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET) ◽

10.1109/ccet50901.2020.9213172 ◽

2020 ◽

Author(s):

Ganghong Zhang ◽

Yan Zhen ◽

Libin Zheng ◽

Jinhong He

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Edge Computing ◽

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A Review on Deep Neural Network Design and Their Applications

2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) ◽

10.1109/icaccs51430.2021.9441826 ◽

2021 ◽

Author(s):

N Praveena ◽

K. Vivekanandan

Keyword(s):

Neural Network ◽

Network Design ◽

Deep Neural Network

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