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KLASIFIKASI PENYAKIT STROKE DENGAN CONVOLUTIONAL NEURAL NETWORK (CNN) DAN MET…
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 diseas…

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

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

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ISBN/ISSN
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Collation
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…
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 i…

Edition
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ISBN/ISSN
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Collation
xvi, 47 hlm. : ilus. ; 29 cm
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Call Number
T663182021
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METODE CONVOLUTIONAL NEURAL NETWORK (CNN) UNTUK SEGMENTASI OPTIK DISK PADA CI…
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 informat…

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ISBN/ISSN
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Collation
xvi, 56 hlm. : ilus. ; 29 cm
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Call Number
T577952021
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SEGMENTASI NUKLEUS KANKER SERVIKS PADA CITRA PAP SMEAR DENGAN MENGGUNAKAN U-N…
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 pr…

Edition
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ISBN/ISSN
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Collation
x, 59 hlm. : ilus. ; 29 cm
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Call Number
T586812021
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Found 6 from your keywords: Subject : "Convolutional Neural Network (CNN)"
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