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Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks
Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks
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Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks

Aach, Marcel ; Inanc, Eray ; Sarma, Rakesh ; Riedel, Morris ; Lintermann, Andreas

Journal of Big Data, 2023-12, Vol.10 (1), p.96-23, Article 96 [Periódico revisado por pares]

Cham: Springer International Publishing

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Firmware implementation of a recurrent neural network for the computation of the energy deposited in the liquid argon calorimeter of the ATLAS experiment
Firmware implementation of a recurrent neural network for the computation of the energy deposited in the liquid argon calorimeter of the ATLAS experiment
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Firmware implementation of a recurrent neural network for the computation of the energy deposited in the liquid argon calorimeter of the ATLAS experiment

Aad, G. ; Calvet, T. ; Chiedde, N. ; Faure, R. ; Fortin, E.M. ; Laatu, L. ; Monnier, E. ; Sur, N.

Journal of instrumentation, 2023-05, Vol.18 (5), p.P05017 [Periódico revisado por pares]

Bristol: IOP Publishing

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3
Combination of particle swarm optimization algorithm and artificial neural network to propose an efficient controller for vehicle handling in uncertain road conditions
Combination of particle swarm optimization algorithm and artificial neural network to propose an efficient controller for vehicle handling in uncertain road conditions
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Combination of particle swarm optimization algorithm and artificial neural network to propose an efficient controller for vehicle handling in uncertain road conditions

Aalizadeh, B. ; Asnafi, A.

Neural computing & applications, 2018-07, Vol.30 (2), p.585-593 [Periódico revisado por pares]

London: Springer London

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4
Natural Disasters Intensity Analysis and Classification Based on Multispectral Images Using Multi-Layered Deep Convolutional Neural Network
Natural Disasters Intensity Analysis and Classification Based on Multispectral Images Using Multi-Layered Deep Convolutional Neural Network
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Natural Disasters Intensity Analysis and Classification Based on Multispectral Images Using Multi-Layered Deep Convolutional Neural Network

Aamir, Muhammad ; Ali, Tariq ; Irfan, Muhammad ; Shaf, Ahmad ; Azam, Muhammad Zeeshan ; Glowacz, Adam ; Brumercik, Frantisek ; Glowacz, Witold ; Alqhtani, Samar ; Rahman, Saifur

Sensors (Basel, Switzerland), 2021-04, Vol.21 (8), p.2648 [Periódico revisado por pares]

Switzerland: MDPI AG

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5
An Adoptive Threshold-Based Multi-Level Deep Convolutional Neural Network for Glaucoma Eye Disease Detection and Classification
An Adoptive Threshold-Based Multi-Level Deep Convolutional Neural Network for Glaucoma Eye Disease Detection and Classification
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An Adoptive Threshold-Based Multi-Level Deep Convolutional Neural Network for Glaucoma Eye Disease Detection and Classification

Aamir, Muhammad ; Irfan, Muhammad ; Ali, Tariq ; Ali, Ghulam ; Shaf, Ahmad ; S, Alqahtani Saeed ; Al-Beshri, Ali ; Alasbali, Tariq ; Mahnashi, Mater H

Diagnostics (Basel), 2020-08, Vol.10 (8), p.602 [Periódico revisado por pares]

Switzerland: MDPI AG

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6
An Efficient Normalized Restricted Boltzmann Machine for Solving Multiclass Classification Problems
An Efficient Normalized Restricted Boltzmann Machine for Solving Multiclass Classification Problems
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An Efficient Normalized Restricted Boltzmann Machine for Solving Multiclass Classification Problems

Aamir, Muhammad ; Mohd, Nazri ; Wahid, Fazli ; Mahdin, Hairulnizam

International journal of advanced computer science & applications, 2019-01, Vol.10 (8)

West Yorkshire: Science and Information (SAI) Organization Limited

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7
RURAL SETTLEMENTS SEGMENTATION BASED ON DEEP LEARNING U-NET USING REMOTE SENSING IMAGES
RURAL SETTLEMENTS SEGMENTATION BASED ON DEEP LEARNING U-NET USING REMOTE SENSING IMAGES
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RURAL SETTLEMENTS SEGMENTATION BASED ON DEEP LEARNING U-NET USING REMOTE SENSING IMAGES

Aamir, Z. ; Seddouki, M. ; Himmy, O. ; Maanan, M. ; Tahiri, M. ; Rhinane, H.

International archives of the photogrammetry, remote sensing and spatial information sciences., 2023, Vol.XLVIII-4/W6-2022, p.1-5 [Periódico revisado por pares]

Gottingen: Copernicus GmbH

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8
Automated neonatal seizure detection: A multistage classification system through feature selection based on relevance and redundancy analysis
Automated neonatal seizure detection: A multistage classification system through feature selection based on relevance and redundancy analysis
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Automated neonatal seizure detection: A multistage classification system through feature selection based on relevance and redundancy analysis

Aarabi, A. ; Wallois, F. ; Grebe, R.

Clinical neurophysiology, 2006-02, Vol.117 (2), p.328-340 [Periódico revisado por pares]

Shannon: Elsevier Ireland Ltd

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9
Deep recurrent neural network‐based Aquila optimization‐based online shaming emotion analysis
Deep recurrent neural network‐based Aquila optimization‐based online shaming emotion analysis
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Deep recurrent neural network‐based Aquila optimization‐based online shaming emotion analysis

Aarthi, B. ; Chelliah, Balika J.

Concurrency and computation, 2022-05, Vol.34 (11), p.n/a [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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10
A Survey on Tools and Techniques for Localizing Abnormalities in X-ray Images Using Deep Learning
A Survey on Tools and Techniques for Localizing Abnormalities in X-ray Images Using Deep Learning
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A Survey on Tools and Techniques for Localizing Abnormalities in X-ray Images Using Deep Learning

Aasem, Muhammad ; Iqbal, Muhammad Javed ; Ahmad, Iftikhar ; Alassafi, Madini O ; Alhomoud, Ahmed

Mathematics (Basel), 2022-12, Vol.10 (24), p.4765 [Periódico revisado por pares]

Basel: MDPI AG

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