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Classification of Dog and Cat Images using the CNN Method Teguh Adriyanto(1); risky aswi ramadhani(2); Risa Helilintar(3); Aidina Ristyawan(4) (1) Universitas Nusantara PGRI Kediri (2) Universitas Nusantara PGRI Kediri (3) Universitas Nusantara PGRI Kediri (4) Universitas Nusantara PGRI Kediri () Corresponding Author

Blind people can be defined as those people who are unable to see objects or pictures around them with their eyes. This inability becomes an issue for them when dealing with objects or images in front of them. These problems lead to the novelty of this st... see more

Cat | CNN | Classification | Dog | Image.

ILKOM Jurnal Ilmiah , 2022

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Malaria Blood Cell Image Classification using Transfer Learning with Fine-Tune ResNet50 and Data Augmentation

Aris Muhandisin, Yufis Azhar

Based on the WHO Report related to malaria, it is estimated that there will be 241 million malaria cases and 627,000 deaths from this disease globally in 2020 with the number of deaths increasing yearly. Preventing malaria disease conditions is through ea... see more

Malaria | Image Classification | Convolutional Neural Network | Fine-Tuning | ResNet50

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) , 2022

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Increased Accuracy on Image Classification of Game Rock Paper Scissors using CNN

Muhammad Nur Ichsan, Nur Armita, Agus Eko Minarno, Fauzi Dwi Setiawan Sumadi, Hariyady

Rock Paper Scissors is one of the most popular games in the world, because of their easy and simple way to play among young and elderly people. The point of this game is to do the draw or just to find out who loses or wins. The pandemic conditions made pe... see more

CNN | Deep Learning | Image Classification | Machine Learning | Neural Network

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) , 2022

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Multi Classification of Bacterial Microscopic Images Using Inception V3 Ingrid Nurtanio(1); Anugrayani Bustamin(2); Christoforus Yohannes(3); Alif Tri Handoyo(4) (1) Universitas Hasanuddin (2) Universitas Hasanuddin (3) Universitas Hasanuddin (4) Universitas Hasanuddin () Corresponding Author

Microorganisms such as bacteria are the main cause of various infectious diseases such as cholera, botulism, gonorrhea, Lyme disease, sore throat, tuberculosis and so on. Therefore, identification and classification of bacteria is very important in the wo... see more

Bacterial Classification | Deep Learning | Inception V3 | Transfer Learning | Image Processing

ILKOM Jurnal Ilmiah , 2022

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Classification of Some Fruits using Image Processing and Machine Learning

Dilara Gerdan Koç,Mustafa Vatandas

In this study, an image processing algorithm and classification unit were developed to classify the fruits according to their size and color characteristics. For this purpose, a total of 300 fruits (50 fruit samples from each of the Starkrimson Delicious ... see more

Fruit classification | image processing | real-time video processing | machine learning | Post-harvest technology

Turkish Journal of Agriculture: Food Science and Technology , 2021

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Breast Cancer Image Multi-Classification Using Random Patch Aggregation and Depth-Wise Convolution based Deep-Net Model

Vandana Kate,Pragya Shukla

Adapting the profound, deep convolutional neural network models for large image classification can result in the layout of network architectures with a large number of learnable parameters and tuning of those varied parameters can considerably grow the co... see more

Image-Multi-Classification | Histopathology-Images | Breast Cancer(BC) | Feature-Extraction | Deep-Neural-Networks

International Journal of Online Engineering (iJOE) , 2021

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A survey to study about different Convolutional Neural Network on various image classifications

Raj Shah,Sagar Patil,Anish Malhotra,Ranjita Asati

Multi label Image classification using Convolutional Neural Network is yet very difficult when it comes to performing. However, Single Label Image Classification can be performed easily and promisingly. As there are many categories of objects in a real wo... see more

Convolutional Neural Network | image classification | UC MERCED Dataset

SAMRIDDHI : A Journal of Physical Sciences; Engineering and Technology , 2020

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Pneumonia Classification of Thorax Images using Convolutional Neural Networks

(2) Mahmud Suyuti (Institut Sains dan Teknologi Terpadu Surabaya, Indonesia)(3) Endang Setyati (Institut Sains dan Teknologi Terpadu Surabaya, Indonesia)

The digital image processing technique is a product of computing technology development. Medical image data processing based on a computer is a product of computing technology development that can help a doctor to diagnose and observe a patient. This stud... see more

pneumonia | pneumonia classification | thorax image | CNN

Inform , 2020

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Terrain Classification using Multiple Image Features

Jharna Majumdar, B. Vanathy, Lekshmi S.

A wide variety of image processing applications require segmentation and classification ofimages. The problem becomes complex when the images are obtained in an uncontrolledenvironment with a non-uniform illumination. The selection of suitable features is... see more

Defence Science Journal , 1975

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