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Multicast Throughput for Hybrid Wireless Networks under Gaussian Channel Model
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Multicast Throughput for Hybrid Wireless Networks under Gaussian Channel Model

Wang, Cheng ; Li, Xiang-Yang ; Jiang, Changjun ; Tang, Shaojie ; Liu, Yunhao

IEEE transactions on mobile computing, 2011-06, Vol.10 (6), p.839-852 [Periódico revisado por pares]

New York, NY: IEEE

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Distributed Multi-Interface Multichannel Random Access Using Convex Optimization
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Distributed Multi-Interface Multichannel Random Access Using Convex Optimization

Mohsenian-Rad, A ; Wong, V W S

IEEE transactions on mobile computing, 2011-01, Vol.10 (1), p.67-80 [Periódico revisado por pares]

New York, NY: IEEE

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3
Network fire prevention; You'll need a tool kit that includes performance monitoring gear, application modeling tools and, soon, neural network software
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Network fire prevention; You'll need a tool kit that includes performance monitoring gear, application modeling tools and, soon, neural network software

Desmond, Paul

Network world, 1999-09, p.49-49

Network World, Inc

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Understanding deep learning (still) requires rethinking generalization
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Understanding deep learning (still) requires rethinking generalization

Zhang, Chiyuan ; Bengio, Samy ; Hardt, Moritz ; Recht, Benjamin ; Vinyals, Oriol

Communications of the ACM, 2021-03, Vol.64 (3), p.107-115

New York: Association for Computing Machinery

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5
INFERENCE CAMERAS
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INFERENCE CAMERAS

Assembly (Carol Stream, Ill.), 2021-01, Vol.64 (1), p.65

BNP Media

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6
Classification of Whole Mammogram and Tomosynthesis Images Using Deep Convolutional Neural Networks
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Classification of Whole Mammogram and Tomosynthesis Images Using Deep Convolutional Neural Networks

Zhang, Xiaofei ; Zhang, Yi ; Han, Erik Y. ; Jacobs, Nathan ; Han, Qiong ; Wang, Xiaoqin ; Liu, Jinze

IEEE transactions on nanobioscience, 2018-07, Vol.17 (3), p.237-242

United States: IEEE

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7
A Fungus Spores Dataset and a Convolutional Neural Network Based Approach for Fungus Detection
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A Fungus Spores Dataset and a Convolutional Neural Network Based Approach for Fungus Detection

Tahir, Muhammad Waseem ; Zaidi, Nayyer Abbas ; Rao, Adeel Akhtar ; Blank, Roland ; Vellekoop, Michael J. ; Lang, Walter

IEEE transactions on nanobioscience, 2018-07, Vol.17 (3), p.281-290

United States: IEEE

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8
Reconstructing Unsteady Flow Data From Representative Streamlines via Diffusion and Deep-Learning-Based Denoising
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Reconstructing Unsteady Flow Data From Representative Streamlines via Diffusion and Deep-Learning-Based Denoising

Gu, Pengfei ; Han, Jun ; Chen, Danny Z. ; Wang, Chaoli

IEEE computer graphics and applications, 2021-11, Vol.41 (6), p.111-121 [Periódico revisado por pares]

United States: IEEE

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9
Learning to Prevent Input Leakages in the Mobile Cloud Inference
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Learning to Prevent Input Leakages in the Mobile Cloud Inference

Xiang, Liyao ; Zhang, Shuang ; Zhang, Quanshi

IEEE transactions on mobile computing, 2023, p.1-14 [Periódico revisado por pares]

IEEE

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10
Designing and Training of Lightweight Neural Networks on Edge Devices using Early Halting in Knowledge Distillation
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Designing and Training of Lightweight Neural Networks on Edge Devices using Early Halting in Knowledge Distillation

Mishra, Rahul ; Gupta, Hari Prabhat

IEEE transactions on mobile computing, 2024-05, p.1-12 [Periódico revisado por pares]

IEEE

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