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SARS-CoV-2 Detection from Lung CT-Scan Images Using Fine Tuning Concept on Deep-CNN Pretrained Model DOI : 10.24114/cess.v8i1.40897 | Abstract views : 15 times

Simeon Yuda Prasetyo

The problem of the spread of COVID-19 (SARS-CoV-2) is spreading fleetly and worldwide. Beforehand discovery and opinion of complaint is veritably important to ensure the right remedy so that it needs to be enforced through various practical approaches. In... see more

SARS-CoV-2 detection | lung CT-Scan imaging | deep-CNN pretrained model | fine tuning

CESS (Journal of Computer Engineering; System and Science) , 2012

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FINE-TUNING DEEP LEARNING MODELS FOR PEDESTRIAN DETECTION

Caisse Amisse,Mario Ernesto Jijón-Palma,Jorge Antonio Silva Centeno

Object detection in high resolution images is a new challenge that the remote sensing community is facing thanks to introduction of unmanned aerial vehicles and monitoring cameras. One of the interests is to detect and trace persons in the images. Differe... see more

fine-tuning | pedestrian detection | training data | deep learning models.

Boletim de Ciências Geodésicas , 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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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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Comparison of CNN Models With Transfer Learning in the Classification of Insect Pests

Angga Prima Syahputra,Alda Cendekia Siregar,Rachmat Wahid Saleh Insani

Insect pests are an important problem to overcome in agriculture. The purpose of this research is to classify insect pests with the IP-102 dataset using several CNN pre-trained models and choose which model is best for classifying insect pest data. The me... see more

CNN | transfer learning | fine-tuning | classification | Insect pest

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) , 2023

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Relative Nature of Thai Traditional Music through its Tuning System

Nattapol Wisuttipat

Thai traditional music exhibits number of relative characteristics, though many of them are not expressed explicitly but only demonstrated orally. Its tuning system, despite having been put through many scientific studies for decades, cannot be given the ... see more

Thai traditional music | tuning system | relative nature

International Journal of Creative and Arts Studies , 2015

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Deep Learning untuk Identifikasi Daun Tanaman Obat Menggunakan Transfer Learning MobileNetV2

Rio Juan Hendri Butar-Butar,Noveri Lysbetti Marpaung

Medicinal plants are plants used as alternative medicines for healing or preventing various diseases due to their active substances. The utilization of medicinal plants in Indonesia has been widespread among the community since ancient times and is a heri... see more

Tanaman Obat | Transfer Learning | Fine Tune | Deep Learning | MobileNetV2

Jurnal Informatika: Jurnal Pengembangan IT , 2023

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Multidisciplinary classification for Indonesian scientific articles abstract using pre-trained BERT model

(1) Antonius Angga Kurniawan (Universitas Gunadarma, Indonesia) (2) Sarifuddin Madenda (Universitas Gunadarma, Indonesia) (3) Setia Wirawan (Universitas Gunadarma, Indonesia) (4) Ruddy J. Suhatril (Universitas Gunadarma, Indonesia)

Scientific articles now have multidisciplinary content. These make it difficult for researchers to find out relevant information. Some submissions are irrelevant to the journal's discipline. Categorizing articles and assessing their relevance can aid rese... see more

Abstract | BERT | Classification | Hyperparameter-Tuning | Multidiciplinary

International Journal of Advances in Intelligent Informatics , 2023

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Multidisciplinary classification for Indonesian scientific articles abstract using pre-trained BERT model

Abstract | BERT | Classification | Hyperparameter-Tuning | Multidiciplinary

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

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