+2 MM articles scientifics and academics

20.114 Articles

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Comparison of Conventional Machine Learning and Deep Neural Network Algorithms in the Prediction of Monkey-Pox

Cucu Ika Agustyaningrum, Rizka Dahlia, Omar Pahlevi

Smallpox syndrome, also known as monkeypox, is an uncommon zoonotic viral infection brought on by the monkeypox virus, which belongs to the genus orthopoxvirus and family Poxviridae. Injury-related mortality in primates ranges from 1 to 10%. Data mining i... see more

Conventional Machine Learning | Data Mining | Deep Neural Network | Monkeypox

Jurnal Riset Informatika , 2023

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Klasifikasi Bumbu Dapur Pasar Menggunakan Metode Deep Neural Network Berbasis Android

Hizaz Zakaria Yahya,Yudi Ramdhani

Abstrak - Mengetahui rempah atau bumbu dapur merupakan pengetahuan dasar, khususnya bagi masyarakat yang ingin fokus di dunia kuliner, bahkan bukan itu saja, setiap orang tentunya perlu mengetahui jenis-jenis bumbu dapur. Masih banyak orang yang sul... see more

Klasifikasi rempah/bumbu dapur | Deep Neural Network | Pengolahan Citra

Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) , 2023

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Deep convolutional neural network-based transfer learning method for health condition identification of cable in cable-stayed bridge

Viet-Linh TRAN

The cables are extremely important and vulnerable components in the cable-stayed bridges. Because cable tension is one of the most crucial structural health indicators, therefore, assessing the cable condition based on the cable tension is a major interes... see more

Cable tension | Damaged cable | Wavelet transform | Deep convolutional neural network | Transfer learning

Journal of Materials and Engineering Structures « JMES » , 2023

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Multi-level damage detection using a combination of deep neural networks

Dung Ngoc BUI,Hieu Tran NGUYEN,Hoa Ngoc TRAN,Lan Ngoc NGUYEN,Huan VU,Thanh Tien BUI,Magd ABDEL WAHAB

In recent years, bridge damage identification using a convolutional neural network (CNN) has become a hot research topic and received much attention in the field of civil engineering. Although CNN is capable of categorizing damaged and undamaged states fr... see more

Structural Health Monitoring | Damage detection | Time series analysis | Deep neural networks |

Journal of Materials and Engineering Structures « JMES » , 2022

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Pneumonia Detection on X-Ray Imaging using Softmax Output in Multilevel Meta Ensemble Algorithm of Deep Convolutional Neural Network Transfer Learning Models

(1) Simeon Yuda Prasetyo (Bina Nusantara University, Indonesia) (2) Ghinaa Zain Nabiilah (Bina Nusantara University, Indonesia) (3) Zahra Nabila Izdihar (Bina Nusantara University, Indonesia) (4) Sani Muhamad Isa (Bina Nusantara University, Indonesia)

Pneumonia is the leading cause of death from a single infection worldwide in children. A proven clinical method for diagnosing pneumonia is through a chest X-ray. However, the resulting X-ray images often need clarification, resulting in subjective judgme... see more

Pneumonia classification | Transfer learning | Deep convolutional neural network | Softmax | Multilevel meta ensemble

International Journal of Advances in Intelligent Informatics , 2023

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Pneumonia Detection on X-Ray Imaging using Softmax Output in Multilevel Meta Ensemble Algorithm of Deep Convolutional Neural Network Transfer Learning Models

Pneumonia classification | Transfer learning | Deep convolutional neural network | Softmax | Multilevel meta ensemble

IJAIN (International Journal of Advances in Intelligent Informatics) , 2023

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Deep convolutional neural network-based transfer learning method for health condition identification of cable in cable-stayed bridge

Viet-Linh TRAN

Cable tension | Damaged cable | Wavelet transform | Deep convolutional neural network | Transfer learning

Journal of Materials and Engineering Structures , 2023

Free Access

Multi-level damage detection using a combination of deep neural networks

Dung Ngoc BUI,Hieu Tran NGUYEN,Hoa Ngoc TRAN,Lan Ngoc NGUYEN,Huan VU,Thanh Tien BUI,Magd ABDEL WAHAB

Structural Health Monitoring | Damage detection | Time series analysis | Deep neural networks |

Journal of Materials and Engineering Structures , 2022

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Defect classification of radius shaping in the tire curing process using Fine-Tuned Deep Neural Network10.22441/sinergi.2022.3.009

Zendi Iklima,Bugi Nur Rohman,Rahmat Muwardi,Asif Khan,Zody Arifiansyah

The curing process or vulcanization process is the final stage of the tire manufacturing process, where the properties of the tire compound change from rubber-plastic material to become elastic by forming cross-links in its molecular structure. The green ... see more

Abnormal Detection | Deep Neural Network | Fined Tuned | Radius Shaping |

SINERGI , 2022

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