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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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Convolutional Neural Network for Colorization of Black and White Photos

Siti Ummi Masruroh, Andrew Fiade, Muhammad Ikhsan Tanggok, Rizka Amalia Putri, Luigi Ajeng Pratiwi

People today are very fond of capturing moments by taking pictures. Various photo functions are used to document all forms of information that you want to store. In photos with digital images that have black and white, the information obtained is less tha... see more

Convolutional Neural Network | Colorization | Deep Learning | Photos Colorization

MATRIK : Jurnal Manajemen; Teknik Informatika dan Rekayasa Komputer , 2023

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Penerapan Deep Learning untuk Klasifikasi Buah Menggunakan Algoritma Convolutional Neural Network (CNN) DOI: 10.32493/jtsi.v6i1.29648

Shandi Noris,Adhi Waluyo

The fruit is the part of the plant that is embedded in the soil so that it grows large, fleshy and has a lot of water content. There are about 295,383 species of seed plants that can produce fruit. By utilizing artificial intelligence, especially deep lea... see more

Fruit | Classification | Convolutional Neural Network | MobileNetV1

Jurnal Teknologi Sistem Informasi dan Aplikasi , 2023

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Classification of Corn Seed Quality Using Convolutional Neural Network with Region Proposal and Data Augmentation

Budi Dwi Satoto,Rima Tri Wahyuningrum,Bain Khusnul Khotimah

Corn is one of the essential commodities in agriculture. All components of corn can be utilized and accommodated for the benefit of humans. One of the supporting components is the quality of corn seeds, where a specific source has the physiological qualit... see more

Jurnal Teknik Elektro Komputer dan Informatika , 2023

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Classification for Papaya Fruit Maturity Level with Convolutional Neural Network

Nurmalasari Nurmalasari, Yusuf Arif Setiawan, Widi Astuti, M Rangga Ramadhan Saelan; Siti Masturoh, Tuti Haryanti

Papaya California (Carica papaya L) is one of the agricultural commodities in the tropics and has a very big opportunity to develop in Indonesia as an agribusiness venture with quite promising prospects. So the quality of papaya fruit is determined by the... see more

Convolutional | Classification | Maturity Level | Neural Network

Jurnal Riset Informatika , 2023

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Minimizing Multiplication of Kernel Computation in Convolutional Neural Networks Using Strassen Algorithm

Dary Mochamad Rifqie Dewi Fatmarani Surianto Sudarmanto Jayanegara Muhammad Fajar B M Miftach Fakhri 10.26858/jmtik.v6i2.46016 Views : 73 times

Convolution neural networks (CNN) have been widely applied for the computer vision task. However, the success of CNN is limited by the computational complexity of the network, so it is difficult for the model to run the inference process in real time. In ... see more

Convolutional Neural Network | Strassen Algorithm | Matrix Multiplication | Kernal Computation

Jurnal MediaTIK , 2023

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Klasifikasi Citra Daging Sapi dan Babi Menggunakan Convolutional Neural Network (CNN) dengan Arsitektur EfficientNet-B2 dan Augmentasi Data DOI: 10.32493/informatika.v8i2.30587

Deny Ardianto,Jasril Jasril,Suwanto Sanjaya,Lestari Handayani,Fadhilah Syafria

Permintaan daging sapi Indonesia meningkat secara signifikan setiap tahun. Meningkatnya kebutuhan daging sapi ini sering dimanfaatkan oleh pedagang untuk mendapatkan untung lebih dengan cara mencampurkan daging sapi dan babi (oplosan). Membedakan daging s... see more

Daging | Convolutional Neural Network | Klasifikasi | EfficientNet-B2 | Augmentasi

Jurnal Informatika Universitas Pamulang , 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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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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