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Refinado por: Nome da Publicação: Computers & Electrical Engineering remover assunto: Engineering remover
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1
Pixels to Classes: Intelligent Learning Framework for Multiclass Skin Lesion Localization and Classification
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Pixels to Classes: Intelligent Learning Framework for Multiclass Skin Lesion Localization and Classification

Khan, Muhammad Attique ; Zhang, Yu-Dong ; Sharif, Muhammad ; Akram, Tallha

Computers & electrical engineering, 2021-03, Vol.90, p.106956, Article 106956 [Periódico revisado por pares]

Amsterdam: Elsevier Ltd

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2
Survey on blockchain-based applications in internet of vehicles
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Survey on blockchain-based applications in internet of vehicles

Mendiboure, Leo ; Chalouf, Mohamed Aymen ; Krief, Francine

Computers & electrical engineering, 2020-06, Vol.84, p.106646-15, Article 106646 [Periódico revisado por pares]

Amsterdam: Elsevier Ltd

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3
Prediction of COVID-19 - Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine
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Prediction of COVID-19 - Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine

Khan, Muhammad Attique ; Kadry, Seifedine ; Zhang, Yu-Dong ; Akram, Tallha ; Sharif, Muhammad ; Rehman, Amjad ; Saba, Tanzila

Computers & electrical engineering, 2021-03, Vol.90, p.106960-106960, Article 106960 [Periódico revisado por pares]

United States: Elsevier Ltd

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4
Computation-efficient image watermarking architecture with improved performance
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Computation-efficient image watermarking architecture with improved performance

Sakthivel, S.M. ; Sankar, A. Ravi

Computers & electrical engineering, 2020-06, Vol.84, p.106649-18, Article 106649 [Periódico revisado por pares]

Amsterdam: Elsevier Ltd

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5
An intelligent WSN-UAV-based IoT framework for precision agriculture application
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An intelligent WSN-UAV-based IoT framework for precision agriculture application

Singh, Pradeep Kumar ; Sharma, Amit

Computers & electrical engineering, 2022-05, Vol.100, p.107912, Article 107912 [Periódico revisado por pares]

Amsterdam: Elsevier Ltd

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6
Top 12 layer-wise security challenges and a secure architectural solution for Internet of Things
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Top 12 layer-wise security challenges and a secure architectural solution for Internet of Things

Aryavalli, Sriranga Narasimha Gandhi ; Kumar, Hemantha

Computers & electrical engineering, 2023-01, Vol.105, p.108487, Article 108487 [Periódico revisado por pares]

Elsevier Ltd

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7
The core components of education 4.0 in higher education: Three case studies in engineering education
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The core components of education 4.0 in higher education: Three case studies in engineering education

Miranda, Jhonattan ; Navarrete, Christelle ; Noguez, Julieta ; Molina-Espinosa, José-Martin ; Ramírez-Montoya, María-Soledad ; Navarro-Tuch, Sergio A. ; Bustamante-Bello, Martín-Rogelio ; Rosas-Fernández, José-Bernardo ; Molina, Arturo

Computers & electrical engineering, 2021-07, Vol.93, p.107278, Article 107278 [Periódico revisado por pares]

Amsterdam: Elsevier Ltd

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8
Systematic realization of a fully connected deep and convolutional neural network architecture on a field programmable gate array
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Systematic realization of a fully connected deep and convolutional neural network architecture on a field programmable gate array

Mukhopadhyay, Anand Kumar ; Majumder, Sampurna ; Chakrabarti, Indrajit

Computers & electrical engineering, 2022-01, Vol.97, p.107628, Article 107628 [Periódico revisado por pares]

Amsterdam: Elsevier Ltd

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9
A comparative analysis of transformer based models for figurative language classification
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A comparative analysis of transformer based models for figurative language classification

Junaid, Taha ; Sumathi, D. ; Sasikumar, A.N. ; Suthir, S. ; Manikandan, J. ; Khilar, Rashmita ; Kuppusamy, P.G. ; Janardhana Raju, M.

Computers & electrical engineering, 2022-07, Vol.101, p.108051, Article 108051 [Periódico revisado por pares]

Elsevier Ltd

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10
A survey on feature selection methods
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A survey on feature selection methods

Chandrashekar, Girish ; Sahin, Ferat

Computers & electrical engineering, 2014-01, Vol.40 (1), p.16-28 [Periódico revisado por pares]

Elsevier Ltd

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