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Refinado por: Base de dados/Biblioteca: BACON - Mir@bel - GLOBAL_LIBRESACCES remover Nome da Publicação: Computers, Materials & Continua remover
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A Lightweight CNN Based on Transfer Learning for COVID-19 Diagnosis
A Lightweight CNN Based on Transfer Learning for COVID-19 Diagnosis
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A Lightweight CNN Based on Transfer Learning for COVID-19 Diagnosis

Zhang, Xiaorui ; Zhou, Jie ; Sun, Wei ; Kumar Jha, Sunil

Computers, materials & continua, 2022, Vol.72 (1), p.1123-1137

Henderson: Tech Science Press

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2
Identification of Software Bugs by Analyzing Natural Language-Based Requirements Using Optimized Deep Learning Features
Identification of Software Bugs by Analyzing Natural Language-Based Requirements Using Optimized Deep Learning Features
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Identification of Software Bugs by Analyzing Natural Language-Based Requirements Using Optimized Deep Learning Features

Haq, Qazi Mazhar ul ; Arif, Fahim ; Aurangzeb, Khursheed ; Ain, Noor ul ; Khan, Javed Ali ; Rubab, Saddaf ; Anwar, Muhammad Shahid

Computers, materials & continua, 2024, Vol.78 (3), p.4379-4397

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3
Data Fusion Architecture Empowered with Deep Learning for Breast Cancer Classification
Data Fusion Architecture Empowered with Deep Learning for Breast Cancer Classification
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Data Fusion Architecture Empowered with Deep Learning for Breast Cancer Classification

Arooj, Sahar ; Khan, Muhammad Farhan ; Shahzad, Tariq ; Khan, Muhammad Adnan ; Nasir, Muhammad Umar ; Zubair, Muhammad ; Ouahada, Khmaies

Computers, materials & continua, 2023, Vol.77 (3), p.2813-2831

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4
Cross-Language Transfer Learning-based Lhasa-Tibetan Speech Recognition
Cross-Language Transfer Learning-based Lhasa-Tibetan Speech Recognition
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Cross-Language Transfer Learning-based Lhasa-Tibetan Speech Recognition

Wang, Zhijie ; Zhao, Yue ; Wu, Licheng ; Bi, Xiaojun ; Dawa, Zhuoma ; Ji, Qiang

Computers, materials & continua, 2022, Vol.73 (1), p.629-639

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5
Classification of Citrus Plant Diseases Using Deep Transfer Learning
Classification of Citrus Plant Diseases Using Deep Transfer Learning
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Classification of Citrus Plant Diseases Using Deep Transfer Learning

Zia Ur Rehman, Muhammad ; Ahmed, Fawad ; Attique Khan, Muhammad ; Tariq, Usman ; Shaukat Jamal, Sajjad ; Ahmad, Jawad ; Hussain, Iqtadar

Computers, materials & continua, 2022-01, Vol.70 (1), p.1401-1417

Henderson: Tech Science Press

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6
Sentiment Analysis Method based on Kmeans and Online Transfer Learning
Sentiment Analysis Method based on Kmeans and Online Transfer Learning
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Sentiment Analysis Method based on Kmeans and Online Transfer Learning

Wu, Shengting ; Liu, Yuling ; Wang, Jingwen ; Li, Qi

Computers, materials & continua, 2019-01, Vol.60 (3), p.1207-1222

Henderson: Tech Science Press

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7
A Comprehensive Investigation of Machine Learning Feature Extraction and Classification Methods for Automated Diagnosis of COVID-19 Based on X-Ray Images
A Comprehensive Investigation of Machine Learning Feature Extraction and Classification Methods for Automated Diagnosis of COVID-19 Based on X-Ray Images
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A Comprehensive Investigation of Machine Learning Feature Extraction and Classification Methods for Automated Diagnosis of COVID-19 Based on X-Ray Images

Abed Mohammed, Mazin ; Hameed Abdulkareem, Karrar ; Garcia-Zapirain, Begonya ; A. Mostafa, Salama ; S. Maashi, Mashael ; S. Al-Waisy, Alaa ; Ahmed Subhi, Mohammed ; Awad Mutlag, Ammar ; Le, Dac-Nhuong

Computers, materials & continua, 2021, Vol.66 (3), p.3289-3310

Henderson: Tech Science Press

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8
Personality Trait Detection via Transfer Learning
Personality Trait Detection via Transfer Learning
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Personality Trait Detection via Transfer Learning

Alshouha, Bashar ; Serrano-Guerrero, Jesus ; Chiclana, Francisco ; Romero, Francisco P. ; Olivas, Jose A.

Computers, materials & continua, 2024, Vol.78 (2), p.1933-1956

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9
A Review of NILM Applications with Machine Learning Approaches
A Review of NILM Applications with Machine Learning Approaches
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A Review of NILM Applications with Machine Learning Approaches

Silva, Maheesha Dhashantha ; Liu, Qi

Computers, materials & continua, 2024, Vol.79 (2), p.2971-2989

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10
RoGRUT: A Hybrid Deep Learning Model for Detecting Power Trapping in Smart Grids
RoGRUT: A Hybrid Deep Learning Model for Detecting Power Trapping in Smart Grids
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RoGRUT: A Hybrid Deep Learning Model for Detecting Power Trapping in Smart Grids

Mohammad, Farah ; Al-Ahmadi, Saad ; Al-Muhtadi, Jalal

Computers, materials & continua, 2024, Vol.79 (2), p.3175-3192

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