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1
The natural product biosynthetic potential of Red Sea nudibranch microbiomes
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The natural product biosynthetic potential of Red Sea nudibranch microbiomes

Abdelrahman, Samar M ; Patin, Nastassia V ; Hanora, Amro ; Aboseidah, Akram ; Desoky, Shimaa ; Desoky, Salha G ; Stewart, Frank J ; Lopanik, Nicole B

PeerJ (San Francisco, CA), 2021-02, Vol.9, p.e10525-e10525, Article e10525 [Periódico revisado por pares]

United States: PeerJ. Ltd

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2
The classification of skateboarding tricks via transfer learning pipelines
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The classification of skateboarding tricks via transfer learning pipelines

Abdullah, Muhammad Amirul ; Ibrahim, Muhammad Ar Rahim ; Shapiee, Muhammad Nur Aiman ; Zakaria, Muhammad Aizzat ; Mohd Razman, Mohd Azraai ; Muazu Musa, Rabiu ; Abu Osman, Noor Azuan ; Abdul Majeed, Anwar P.P

PeerJ. Computer science, 2021-08, Vol.7, p.e680-e680, Article e680 [Periódico revisado por pares]

San Diego: PeerJ. Ltd

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3
Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective
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Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective

Aletras, Nikolaos ; Tsarapatsanis, Dimitrios ; Preotiuc-Pietro, Daniel ; Lampos, Vasileios

PeerJ. Computer science, 2016-10, Vol.2, p.e93, Article e93 [Periódico revisado por pares]

San Diego: PeerJ. Ltd

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4
Susceptibility to experimental infection of the invertebrate locusts (Schistocerca gregaria) with the apicomplexan parasite Neospora caninum
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Susceptibility to experimental infection of the invertebrate locusts (Schistocerca gregaria) with the apicomplexan parasite Neospora caninum

Alkurashi, Mamdowh M ; May, Sean T ; Kong, Kenny ; Bacardit, Jaume ; Haig, David ; Elsheikha, Hany M

PeerJ (San Francisco, CA), 2014-12, Vol.2, p.e674-e674 [Periódico revisado por pares]

United States: PeerJ. Ltd

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5
Automatic single- and multi-label enzymatic function prediction by machine learning
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Automatic single- and multi-label enzymatic function prediction by machine learning

Amidi, Shervine ; Amidi, Afshine ; Vlachakis, Dimitrios ; Paragios, Nikos ; Zacharaki, Evangelia I

PeerJ (San Francisco, CA), 2017-03, Vol.5, p.e3095-e3095, Article e3095 [Periódico revisado por pares]

United States: PeerJ, Inc

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6
Effect on speech emotion classification of a feature selection approach using a convolutional neural network
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Effect on speech emotion classification of a feature selection approach using a convolutional neural network

Amjad, Ammar ; Khan, Lal ; Chang, Hsien-Tsung

PeerJ. Computer science, 2021-11, Vol.7, p.e766-e766, Article e766 [Periódico revisado por pares]

San Diego: PeerJ. Ltd

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7
In silico functional prediction of hypothetical proteins from the core genome of Corynebacterium pseudotuberculosis biovar ovis
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In silico functional prediction of hypothetical proteins from the core genome of Corynebacterium pseudotuberculosis biovar ovis

Araújo, Carlos Leonardo ; Blanco, Iago ; Souza, Luciana ; Tiwari, Sandeep ; Pereira, Lino César ; Ghosh, Preetam ; Azevedo, Vasco ; Silva, Artur ; Folador, Adriana

PeerJ (San Francisco, CA), 2020-08, Vol.8, p.e9643-e9643, Article e9643 [Periódico revisado por pares]

San Diego: PeerJ, Inc

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8
Schema and content aware classification for predicting the sources containing an answer over corpus and knowledge graphs
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Schema and content aware classification for predicting the sources containing an answer over corpus and knowledge graphs

Asadifar, Somayeh ; Kahani, Mohsen ; Shekarpour, Saeedeh

PeerJ. Computer science, 2022-03, Vol.8, p.e846-e846, Article e846 [Periódico revisado por pares]

United States: PeerJ. Ltd

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9
MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networks
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MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networks

Attallah, Omneya ; Ragab, Dina A ; Sharkas, Maha

PeerJ (San Francisco, CA), 2020-09, Vol.8, p.e10086-e10086, Article e10086 [Periódico revisado por pares]

United States: PeerJ. Ltd

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10
Optimizing the trainable B-COSFIRE filter for retinal blood vessel segmentation
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Optimizing the trainable B-COSFIRE filter for retinal blood vessel segmentation

Badawi, Sufian A ; Fraz, Muhammad Moazam

PeerJ (San Francisco, CA), 2018-11, Vol.6, p.e5855-e5855, Article e5855 [Periódico revisado por pares]

United States: PeerJ. Ltd

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Deste Autor:

  1. Lana, M
  2. Silva, D
  3. Minóprio, P
  4. Morais, M
  5. Milagre, M

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