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Found 9 from your keywords: subject="Convolutional Neural ...
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PENGENALAN ANGKA YANG TIDAK TERBACA DI LEMBAR C1 PEMILU MENGGUNAKAN METODE CO…
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Rahmadhani, Muhammad Apriliansyah

Penelitian ini berangkat dari rendahnya akurasi digitalisasi hasil Pemilu pada SIREKAP, khususnya dalam membaca angka tulisan tangan pada lembar C1. Variasi bentuk tulisan, kualitas citra rendah, tinta melebar, lipatan, dan orientasi angka yang tidak standar menyebabkan OCR konvensional sulit mengenali karakter secara konsisten. Untuk mengatasi masalah tersebut, penelitian ini mengembangkan mod…

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xvi, 222 hlm.; ilus.; tab.; 29 cm
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T1865042025
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SIMULASI DETEKSI PELANGGARAN PENGGUNAAN HELM DAN KECEPATAN KENDARAAN MENGGUNA…
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Naibaho, Ivan Jones

This research will focus on developing and testing a helmet violation and vehicle speed detection system based on the YOLO algorithm and classification using a Convolutional Neural Network (CNN). The purpose of writing this thesis is to implement the YOLOv8 algorithm for Detecting Helmet Violations and Vehicle Speed, calculating the accuracy level of the detection system using You Only Look Onc…

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xii, 75 hlm.; ilus.; 29 cm
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T1520552024
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KLASIFIKASI SERANGAN DDOS PADA DATASET CICDDOS2019 MENGGUNAKAN METODE CNN LON…
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Pangestu, Muhammad Aldi

Denial of Service (DoS) is one of the popular cyber attacks targeting websites of well-known organizations and has the potential to have high economic and time costs. One of the most common types of DoS is the Distributed Denial-of-Service (DDoS) attack which aims to bring down the target service using various distributed resources. In an effort to handle Distributed Denial-of-Service (DDoS) at…

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xxiii, 443 hlm.; ilus.; tab.; 29 cm.
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T1827052025
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KLASIFIKASI PENYAKIT STROKE DENGAN CONVOLUTIONAL NEURAL NETWORK (CNN) DAN MET…
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Wijaya, Syahrani Puspita

Stroke is a disease in which the sufferer experiences bleeding or blockage of the brain arteries. The focus of this research is the use of Convolutional Neural Network (CNN) method in stroke disease classification and Explainable Artificial Intelligence (XAI) method as an approach to understand more deeply the decision-making process used by the CNN model. There are 3 models used by OzNet, ResN…

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xv, VI-1 hlm.; ilus.; tab.; 28 cm
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Call Number
T1445062024
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SEGMENTASI PEMBULUH DARAH RETINA PADA PENYAKIT DIABETIC RETINOPATHY MENGGUNAK…
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Anugrah, Muhammad Luthfi

The retina is a very crucial organ in the human eye. The retina has a blood vessel section which in every human has a different form of blood vessels. Early detection of retinal disease can be done through sections of the retinal blood vessels. In order to facilitate the medical world in detecting diabetic retinopathy on the retina, a retinal image segmentation study was carried out in order to…

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xiv, 58 hlm. : ilus. ; 29 cm
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T584182021
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KLASIFIKASI SERANGAN BRUTE FORCE MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETW…
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Putri, Bella

Brute Force is a password cracking attack against a computer security system. In launching the attack, the perpetrator uses a trial-and-error method by trying all password combinations in order to pass the authentication process. Actually, brute force is an old and simple attack method, but this type of cybercrime has a fairly high success rate and is considered very effective. That is why this…

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xiv, 55 hlm. : ilus. ; 29 cm
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Call Number
T624242021
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PERBAIKAN KUALITAS CITRA LOW-LIGHT PADA FETAL ECHOCARDIOGRAPHY MENGGUNAKAN ME…
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Muhammad, Rap Nur

Images with low contrast (dark) and images that have unclear objects make objects in the image difficult to identify either systemically or by observers. Nowadays, almost everyone has an interest in capturing images every day using various digital devices. The quality and resolution of the captured images are important. When one captures images in low-light conditions, the images often experien…

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xvi, 47 hlm. : ilus. ; 29 cm
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T663182021
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METODE CONVOLUTIONAL NEURAL NETWORK (CNN) UNTUK SEGMENTASI OPTIK DISK PADA CI…
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Sepriantina, Persia

The retina is one of the most important parts of the eye. One part of the retina is the optic disc. The optic disc is the starting point of the optic nerve, where the optics meet and relay information to the center and carry more than one million neurons from the eye to brain. One way to simplify the image structure is by segmenting it. Optic disk segmentation, the outhor uses the Convolutional…

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xvi, 56 hlm. : ilus. ; 29 cm
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T577952021
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SEGMENTASI NUKLEUS KANKER SERVIKS PADA CITRA PAP SMEAR DENGAN MENGGUNAKAN U-N…
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Susanto, Susanto

Pap smear image from Zenodo dataset consists of nucleus and cytoplasm. The nucleus is the most important element in the cell and undergoes significant changes in the event of cervical cancer. To prevent cervical cancer in women, early detection of nucleus abnormalities can be done, one of which is by separating the nucleus and non-nucleus in the image. To get the features of the nucleus, a segm…

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x, 59 hlm. : ilus. ; 29 cm
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Call Number
T586812021
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