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Refinado por: Base de dados/Biblioteca: ANTE: Abstracts in New Technology & Engineering remover assunto: Artificial Intelligence remover
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1
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
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On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures

Bianchini, Monica ; Scarselli, Franco

IEEE transaction on neural networks and learning systems, 2014-08, Vol.25 (8), p.1553-1565

New York, NY: IEEE

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2
fpgaConvNet: Mapping Regular and Irregular Convolutional Neural Networks on FPGAs
fpgaConvNet: Mapping Regular and Irregular Convolutional Neural Networks on FPGAs
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fpgaConvNet: Mapping Regular and Irregular Convolutional Neural Networks on FPGAs

Venieris, Stylianos I. ; Bouganis, Christos-Savvas

IEEE transaction on neural networks and learning systems, 2019-02, Vol.30 (2), p.326-342

United States: IEEE

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3
Efficient Online Learning Algorithms Based on LSTM Neural Networks
Efficient Online Learning Algorithms Based on LSTM Neural Networks
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Efficient Online Learning Algorithms Based on LSTM Neural Networks

Ergen, Tolga ; Kozat, Suleyman Serdar

IEEE transaction on neural networks and learning systems, 2018-08, Vol.29 (8), p.3772-3783

United States: IEEE

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4
Artificial Intelligence Empowered Edge Computing and Caching for Internet of Vehicles
Artificial Intelligence Empowered Edge Computing and Caching for Internet of Vehicles
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Artificial Intelligence Empowered Edge Computing and Caching for Internet of Vehicles

Dai, Yueyue ; Xu, Du ; Maharjan, Sabita ; Qiao, Guanhua ; Zhang, Yan

IEEE wireless communications, 2019-06, Vol.26 (3), p.12-18 [Periódico revisado por pares]

New York: IEEE

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5
Applications of Deep Learning and Reinforcement Learning to Biological Data
Applications of Deep Learning and Reinforcement Learning to Biological Data
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Applications of Deep Learning and Reinforcement Learning to Biological Data

Mahmud, Mufti ; Kaiser, Mohammed Shamim ; Hussain, Amir ; Vassanelli, Stefano

IEEE transaction on neural networks and learning systems, 2018-06, Vol.29 (6), p.2063-2079

United States: IEEE

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6
Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
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Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks

Sakhavi, Siavash ; Guan, Cuntai ; Yan, Shuicheng

IEEE transaction on neural networks and learning systems, 2018-11, Vol.29 (11), p.5619-5629

United States: IEEE

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7
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
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NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps

Aimar, Alessandro ; Mostafa, Hesham ; Calabrese, Enrico ; Rios-Navarro, Antonio ; Tapiador-Morales, Ricardo ; Lungu, Iulia-Alexandra ; Milde, Moritz B. ; Corradi, Federico ; Linares-Barranco, Alejandro ; Liu, Shih-Chii ; Delbruck, Tobi

IEEE transaction on neural networks and learning systems, 2019-03, Vol.30 (3), p.644-656

United States: IEEE

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8
A review of the applications of artificial intelligence and big data to buildings for energy-efficiency and a comfortable indoor living environment
A review of the applications of artificial intelligence and big data to buildings for energy-efficiency and a comfortable indoor living environment
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A review of the applications of artificial intelligence and big data to buildings for energy-efficiency and a comfortable indoor living environment

Mehmood, Muhammad Uzair ; Chun, Daye ; Zeeshan ; Han, Hyunjoo ; Jeon, Gyuyeob ; Chen, Kuan

Energy and buildings, 2019-11, Vol.202, p.109383, Article 109383 [Periódico revisado por pares]

Lausanne: Elsevier B.V

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9
Architecting for Causal Intelligence at Nanoscale
Architecting for Causal Intelligence at Nanoscale
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Architecting for Causal Intelligence at Nanoscale

Khasanvis, Santosh ; Mingyu Li ; Rahman, Mostafizur ; Biswas, Ayan K. ; Salehi-Fashami, Mohammad ; Atulasimha, Jayasimha ; Bandyopadhyay, Supriyo ; Moritz, Csaba Andras

Computer (Long Beach, Calif.), 2015-12, Vol.48 (12), p.54-64 [Periódico revisado por pares]

New York: IEEE

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10
Artificial Intelligence for Elastic Management and Orchestration of 5G Networks
Artificial Intelligence for Elastic Management and Orchestration of 5G Networks
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Artificial Intelligence for Elastic Management and Orchestration of 5G Networks

Gutierrez-Estevez, David M. ; Wang, Yue ; Gramaglia, Marco ; Domenico, Antonio De ; Dandachi, Ghina ; Khatibi, Sina ; Tsolkas, Dimitris ; Balan, Irina ; Garcia-Saavedra, Andres ; Elzur, Uri

IEEE wireless communications, 2019-10, Vol.26 (5), p.134-141 [Periódico revisado por pares]

New York: IEEE

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