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Recognition of the storage life of mitten crab by a machine olfactory system with deep learning
Recognition of the storage life of mitten crab by a machine olfactory system with deep learning
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Recognition of the storage life of mitten crab by a machine olfactory system with deep learning

Zhu, Peiyi ; Zhang, Yulin ; Chou, Yongxin ; Gu, Ya

Journal of food process engineering, 2019-11, Vol.42 (7), p.n/a [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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12
Programmable and Customized Intelligence for Traffic Steering in 5G Networks Using Open RAN Architectures
Programmable and Customized Intelligence for Traffic Steering in 5G Networks Using Open RAN Architectures
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Programmable and Customized Intelligence for Traffic Steering in 5G Networks Using Open RAN Architectures

Lacava, Andrea ; Polese, Michele ; Sivaraj, Rajarajan ; Soundrarajan, Rahul ; Bhati, Bhawani Shanker ; Singh, Tarunjeet ; Zugno, Tommaso ; Cuomo, Francesca ; Melodia, Tommaso

IEEE transactions on mobile computing, 2024-04, Vol.23 (4), p.1-16 [Periódico revisado por pares]

Los Alamitos: IEEE

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13
A Framework for Behavioral Biometric Authentication Using Deep Metric Learning on Mobile Devices
A Framework for Behavioral Biometric Authentication Using Deep Metric Learning on Mobile Devices
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A Framework for Behavioral Biometric Authentication Using Deep Metric Learning on Mobile Devices

Wang, Cong ; Xiao, Yanru ; Gao, Xing ; Li, Li ; Wang, Jun

IEEE transactions on mobile computing, 2023-01, Vol.22 (1), p.19-36 [Periódico revisado por pares]

Los Alamitos: IEEE

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14
Make Smart Decisions Faster: Deciding D2D Resource Allocation via Stackelberg Game Guided Multi-Agent Deep Reinforcement Learning
Make Smart Decisions Faster: Deciding D2D Resource Allocation via Stackelberg Game Guided Multi-Agent Deep Reinforcement Learning
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Make Smart Decisions Faster: Deciding D2D Resource Allocation via Stackelberg Game Guided Multi-Agent Deep Reinforcement Learning

Shi, Dian ; Li, Liang ; Ohtsuki, Tomoaki ; Pan, Miao ; Han, Zhu ; Poor, H. Vincent

IEEE transactions on mobile computing, 2022-12, Vol.21 (12), p.4426-4438 [Periódico revisado por pares]

Los Alamitos: IEEE

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15
Joint Codebook Selection and UE Scheduling for Unlicensed MmWave NR-U/WiGig Coexistence Based on Deep Reinforcement Learning
Joint Codebook Selection and UE Scheduling for Unlicensed MmWave NR-U/WiGig Coexistence Based on Deep Reinforcement Learning
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Joint Codebook Selection and UE Scheduling for Unlicensed MmWave NR-U/WiGig Coexistence Based on Deep Reinforcement Learning

Ye, Xiaowen ; Fu, Liqun

IEEE transactions on mobile computing, 2024, p.1-16 [Periódico revisado por pares]

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16
Call for Papers: Deep Learning
Call for Papers: Deep Learning
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Call for Papers: Deep Learning

IEEE internet of things magazine, 2021-06, Vol.4 (2), p.51-51 [Periódico revisado por pares]

New York: IEEE

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17
A Co-Scheduling Framework for DNN Models on Mobile and Edge Devices With Heterogeneous Hardware
A Co-Scheduling Framework for DNN Models on Mobile and Edge Devices With Heterogeneous Hardware
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A Co-Scheduling Framework for DNN Models on Mobile and Edge Devices With Heterogeneous Hardware

Xu, Zhiyuan ; Yang, Dejun ; Yin, Chengxiang ; Tang, Jian ; Wang, Yanzhi ; Xue, Guoliang

IEEE transactions on mobile computing, 2023-03, Vol.22 (3), p.1275-1288 [Periódico revisado por pares]

IEEE

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18
Deep Learning for RF Fingerprinting: A Massive Experimental Study
Deep Learning for RF Fingerprinting: A Massive Experimental Study
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Deep Learning for RF Fingerprinting: A Massive Experimental Study

Jian, Tong ; Rendon, Bruno Costa ; Ojuba, Emmanuel ; Soltani, Nasim ; Wang, Zifeng ; Sankhe, Kunal ; Gritsenko, Andrey ; Dy, Jennifer ; Chowdhury, Kaushik ; Ioannidis, Stratis

IEEE internet of things magazine, 2020-03, Vol.3 (1), p.50-57 [Periódico revisado por pares]

New York: IEEE

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19
Towards Risk-Averse Edge Computing With Deep Reinforcement Learning
Towards Risk-Averse Edge Computing With Deep Reinforcement Learning
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Towards Risk-Averse Edge Computing With Deep Reinforcement Learning

Xu, Dianlei ; Su, Xiang ; Wang, Huandong ; Tarkoma, Sasu ; Hui, Pan

IEEE transactions on mobile computing, 2024-06, Vol.23 (6), p.7030-7047 [Periódico revisado por pares]

Los Alamitos: IEEE

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20
Multi-Agent Deep Reinforcement Learning for Spectral Efficiency Optimization in Vehicular Optical Camera Communications
Multi-Agent Deep Reinforcement Learning for Spectral Efficiency Optimization in Vehicular Optical Camera Communications
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Multi-Agent Deep Reinforcement Learning for Spectral Efficiency Optimization in Vehicular Optical Camera Communications

Islam, Amirul ; Thomos, Nikolaos ; Musavian, Leila

IEEE transactions on mobile computing, 2024-05, Vol.23 (5), p.3666-3679 [Periódico revisado por pares]

Los Alamitos: IEEE

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