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Deep Convolutional Neural Network based Ship Images Classification

Narendra Kumar Mishra, Ashok Kumar, Kishor Choudhury

Ships are an integral part of maritime traffic where they play both militaries as well as non-combatant roles. This vast maritime traffic needs to be managed and monitored by identifying and recognising vessels to ensure the maritime safety and security. ... see more

Ship classification | Convolutional neural network | VGG16 | Transfer learning

Defence Science Journal , PP

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Hybrid Algoritma Vgg16-Net Dengan Support Vector Machine Untuk Klasifikasi Jenis Buah dan sayuran

Aditya Dwi Putro, Henri Tantyoko

Arsitektur deep learning VGG16 terbukti efektif dalam hal melakukan klasifikasi citra pada dataset ImageNet, akan tetapi memiliki keterbatasan dalam jumlah parameter sangat banyak dan potensi overfitting pada dataset kecil. SVM memiliki kelebihan dalam ha... see more

Convolutional Neural Network | Citra | Deep Learning | Support Vector Machine | VGG16-Net

JTIM : Jurnal Teknologi Informasi dan Multimedia , 1909

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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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Deteksi Penyakit Mata Pada Citra Fundus Menggunakan Convolutional Neural Network (CNN) DOI : 10.33633/tc.v21i2.6162

Rarasmaya Indraswari,Wiwiet Herulambang,Rika Rokhana

Pada tahun 2020, terdapat 1,1 milyar orang yang mengalami kehilangan penglihatan di seluruh dunia. Jumlah ini diproyeksikan akan terus bertambah hingga mencapai 1,76 milyar orang pada tahun 2050. Penyebab utama kebutaan untuk anak-anak dan remaja adalah p... see more

ocular disease | convolutional neural network (CNN) | MobileNetV2 | fundus image | image classification

Techno.Com , 2022

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ModCOVNN: a convolutional neural network approach in COVID-19 prognosis

(1) Ahmed Wasif Reza (Department of Computer Science and Engineering, East West University, Bangladesh) (2) Jannatul Ferdous Sorna (Department of Computer Science and Engineering, East West University, Bangladesh) (3) Md. Momtaz Uddin Rashel (Department of Computer Science and Engineering, East West University, Bangladesh) (4) Mir Moynuddin Ahmed Shibly (Department of Computer Science and Engineering, East West University, Bangladesh)

COVID-19 is a devastating pandemic in the history of humankind. It is a highly contagious flu that can spread from human to human. For being so contagious, detecting patients with it and isolating them has become the primary concern for healthcare profess... see more

COVID19 | convolutional neural network | biomedical image processing | computer vision | X-ray

International Journal of Advances in Intelligent Informatics , 2021

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ModCOVNN: a convolutional neural network approach in COVID-19 prognosis

COVID19 | convolutional neural network | biomedical image processing | computer vision | X-ray

IJAIN (International Journal of Advances in Intelligent Informatics) , 2021

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Detection of Eggshell Defects using Convolutional Neural Networks

Muammer Türkoglu

In commercial egg farming industries, the automatic sorting of defective eggs is economically and healthily important. Nowadays, detect of defective eggs is performed manually. This situation involves time consuming, tiring and complex processes. For all ... see more

Defective egg detection | Deep architectures | Convolutional neural networks | Transfer Learning | Classification

Turkish Journal of Agriculture: Food Science and Technology , 2021

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Arabic Sign Language Recognition through Deep Neural Networks Fine-Tuning

Yaser Saleh,Ghassan Farid Issa

Sign Language is considered the main communication tool for deaf or hearing impaired people. It is a visual language that uses hands and other parts of the body to provide people who are in need to full access of communication with the world. ... see more

Arabic Sign Language Recognition | Deep Learning | Fine tuning | Convolutional neural network

International Journal of Online Engineering (iJOE) , 2020

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