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644 Articles

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Klasifikasi Penyakit Tanaman Jagung Menggunakan Metode Convolutional Neural Network (CNN)

Didit Iswantoro,Dewi Handayani UN

Corn is one of the cereal crops and an important food ingredient because it contains a source of carbohydrates. It is the third largest food crop in the world after rice and wheat. In Indonesia, corn is one of the second largest food crops after rice. Thi... see more

Convolutional Neural Network (CNN) | Deep Learning | Classification | Corn Plant Diseases

Jurnal Ilmiah Universitas Batanghari Jambi , 2022

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Sistem Pemilah Sampah Organik Berbasis Raspberry Pi Menggunakan Klasifikasi CNN

Projek ini bertujuan untuk melakukan pengecekan dan pengaturan pada Raspberry Pi 3 Model B+, Melakukan pengecekan dan pengaturan pada kamera Raspberry Pi Camera Rev 1.3 dan pengujian klasifikasi menggunakan Convolutional Neural Network atau CNN untuk meng... see more

Raspberry Pi 3 | Kamera Pi | Klasifikasi | CNN

Sisfotenika , 2023

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Sistem Presensi Kelas Berbasis Pengenalan Wajah Menggunakan Metode CNN

Dianthika Puteri Andini,YB Gunawan Sugiarta,Trisno Yuwono Putro,Ryan Dwi Setiawan

Artikel ini mengusulkan sistem presensi kelas berbasis pengenalan wajah. Metode yang diterapkan adalah Convolutional Neural Network (CNN) dengan keterbaruan adalah penyajian dalam file Ms. Excel secara langsung. Metode ini dapat digunakan untuk melakukan ... see more

pengenalan wajah | daftar hadir | Convolutional Neural Network (CNN)

Jurnal Teknologi Rekayasa , 2022

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Klasifikasi Jamur Berdasarkan Genus Dengan Menggunakan Metode CNN

Ummi Sri Rahmadhani,Noveri Lysbetti Marpaung

Mushrooms are plants that do not have true roots and leaves. There are many types of mushrooms that have been identified worldwide, with various shapes, sizes, and colors. Mushrooms have many benefits in the fields of economy, health, and others. One of t... see more

Jamur | Genus | CNN | Beracun | Konsumsi

Jurnal Informatika: Jurnal Pengembangan IT , 2023

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ERFORMANCE ANALYSIS OF ALEXNET CONVOLUTIONAL NEURAL NETWORK (CNN) ARCHITECTURE WITH IMAGE OBJECTS OF RICE PLANT LEAVES

Adi Fajaryanto Cobantoro, Fauzan Masykur, Kelik Sussolaikah

Rice is a staple food consumed by Indonesian people, even 75% of the world's population consumes rice and it is mostly found in Asia. Rice derived from pounded rice is a staple food so it can be consumed. In the process of planting rice, pests and disease... see more

Convolutional Neural Network | Alexnet | Rice Leaves Image | CNN Classification

JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) , 2023

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Multi-step CNN forecasting for COVID-19 multivariate time-series

(1) Haviluddin Haviluddin (Department of Informatics, Faculty of Engineering, Universitas Mulawarman, Indonesia) (2) Rayner Alfred (Knowledge Technology Research Group, Faculty of Computing and Informatics, Universiti Malaysia Sabah, Sabah, Malaysia)

The new coronavirus (COVID-19) has spread to over 200 countries, with over 36 million confirmed cases as of October 10, 2020. As a result, numerous machine learning models capable of forecasting the epidemic worldwide have been produced. This paper review... see more

Multivariate time-series | CNN | Smoothing technique | COVID-19

International Journal of Advances in Intelligent Informatics , 2023

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CNN Ensemble learning method for Transfer learning: A Review Yudha Islami Sulistya(1); Elsi Titasari Br Bangun(2); Dyah Aruming Tyas(3) (1) Universitas Gadjah Mada (2) Universitas Gadjah Mada (3) Universitas Gadjah Mada () Corresponding Author

This study provides a review of CNN's ensemble learning method for transfer learning by highlighting sections such as review studies, datasets, pre-trained models, transfer learning, ensemble learning, and performance. The results indicate that the ... see more

Ensemble Learning | Transfer Learning | Deep Learning | Pre-Trained Model | CNN

ILKOM Jurnal Ilmiah , 2023

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Multi-step CNN forecasting for COVID-19 multivariate time-series

Multivariate time-series | CNN | Smoothing technique | COVID-19

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

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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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