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Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks
Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks
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Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks

Yu, Haiyang ; Wu, Zhihai ; Wang, Shuqin ; Wang, Yunpeng ; Ma, Xiaolei

Sensors (Basel, Switzerland), 2017-06, Vol.17 (7), p.1501 [Periódico revisado por pares]

Switzerland: MDPI AG

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2
Memory-based pruning of deep neural networks for IoT devices applied to flood detection
Memory-based pruning of deep neural networks for IoT devices applied to flood detection
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Memory-based pruning of deep neural networks for IoT devices applied to flood detection

Francisco Erivaldo Fernandes Junior Luis Gustavo Nonato; Caetano Mazzoni Ranieri; Jó Ueyama

Sensors Basel : MDPI v. 21, n. 22, p. 1-18, 2021

Basel 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3049890 )(Acessar)

3
BENS−B5G: Blockchain-Enabled Network Slicing in 5G and Beyond-5G (B5G) Networks
BENS−B5G: Blockchain-Enabled Network Slicing in 5G and Beyond-5G (B5G) Networks
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BENS−B5G: Blockchain-Enabled Network Slicing in 5G and Beyond-5G (B5G) Networks

Singh, Saurabh ; Babu, C. Rajesh ; Ramana, Kadiyala ; Ra, In-Ho ; Yoon, Byungun

Sensors (Basel, Switzerland), 2022-08, Vol.22 (16), p.6068 [Periódico revisado por pares]

Basel: MDPI AG

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4
Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks
Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks
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Enhancing the sensor node localization algorithm based on improved DV-Hop and DE algorithms in wireless sensor networks

Dezhi Han Yunping Yu; Kuan-Ching Li; Rodrigo Fernandes de Mello

Sensors Basel : MDPI v. 20, p. 1-24, 2020

Basel 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2982193 )(Acessar)

5
Flying Ad Hoc Networks: A New Domain for Network Communications
Flying Ad Hoc Networks: A New Domain for Network Communications
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Flying Ad Hoc Networks: A New Domain for Network Communications

Guillen-Perez, Antonio ; Cano, Maria-Dolores

Sensors (Basel, Switzerland), 2018-10, Vol.18 (10), p.3571 [Periódico revisado por pares]

Switzerland: MDPI AG

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6
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
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Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

Ma, Xiaolei ; Dai, Zhuang ; He, Zhengbing ; Ma, Jihui ; Wang, Yong ; Wang, Yunpeng

Sensors (Basel, Switzerland), 2017-04, Vol.17 (4), p.818 [Periódico revisado por pares]

Switzerland: MDPI AG

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7
Security–Reliability Analysis of AF Full-Duplex Relay Networks Using Self-Energy Recycling and Deep Neural Networks
Security–Reliability Analysis of AF Full-Duplex Relay Networks Using Self-Energy Recycling and Deep Neural Networks
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Security–Reliability Analysis of AF Full-Duplex Relay Networks Using Self-Energy Recycling and Deep Neural Networks

Nguyen, Tan N. ; Minh, Bui Vu ; Tran, Dinh-Hieu ; Le, Thanh-Lanh ; Le, Anh-Tu ; Nguyen, Quang-Sang ; Lee, Byung Moo

Sensors (Basel, Switzerland), 2023-09, Vol.23 (17), p.7618 [Periódico revisado por pares]

Basel: MDPI AG

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8
DeepFruits: A Fruit Detection System Using Deep Neural Networks
DeepFruits: A Fruit Detection System Using Deep Neural Networks
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DeepFruits: A Fruit Detection System Using Deep Neural Networks

Sa, Inkyu ; Ge, Zongyuan ; Dayoub, Feras ; Upcroft, Ben ; Perez, Tristan ; McCool, Chris

Sensors (Basel, Switzerland), 2016-08, Vol.16 (8), p.1222-1222 [Periódico revisado por pares]

Switzerland: MDPI AG

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9
Motor Imagery EEG Classification Using Capsule Networks
Motor Imagery EEG Classification Using Capsule Networks
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Motor Imagery EEG Classification Using Capsule Networks

Ha, Kwon-Woo ; Jeong, Jin-Woo

Sensors (Basel, Switzerland), 2019-06, Vol.19 (13), p.2854 [Periódico revisado por pares]

Switzerland: MDPI AG

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10
Deep Autoencoder Neural Networks for Short-Term Traffic Congestion Prediction of Transportation Networks
Deep Autoencoder Neural Networks for Short-Term Traffic Congestion Prediction of Transportation Networks
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Deep Autoencoder Neural Networks for Short-Term Traffic Congestion Prediction of Transportation Networks

Zhang, Sen ; Yao, Yong ; Hu, Jie ; Zhao, Yong ; Li, Shaobo ; Hu, Jianjun

Sensors (Basel, Switzerland), 2019-05, Vol.19 (10), p.2229 [Periódico revisado por pares]

Switzerland: MDPI AG

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Deste Autor:

  1. Nonato, L
  2. Ueyama, J
  3. Han, D
  4. Koste, E
  5. Fernandes Junior, F

Neste Assunto:

  1. Engineering
  2. Technology
  3. Instruments & Instrumentation
  4. Chemistry
  5. Engineering, Electrical & Electronic

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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