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IJEIS Indonesian Jounal of Electronics and Instrumentation Systems Vol.8 No.2, October 2018

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1. Metode Penggabungan Daya Secara Adaptif Untuk Power Supply Hibridarn2. Rancang Bangun Sistem Pendeteksi ARTag sebagai Landasan Pacu AR.Drone Menggunakan Platform ROS (Robot Operating System)rn3. Perancangan Alat Ukur Massa Jenis Zat Cair Menggunakan Cepat Rambat Gelombang Ultrasonikrn4. Development of A Pressure Sensing Module and Flow Control System For A Prototype Pump Test Bedrn5. Kelas Cendekia Versi Mobile yang Terintegrasi dengan Sistem Rekomendasirn6. Brain Tumor Classification Using Gray Level Co-occurrence Matrix and Convolutional Neural Networkrn7. Hybrid Support Vector Machine to Preterm Birth Predictionrn8. Low Cost Sensor Node Device for Monitoring Landslidesrn9. Segmentation of White Blood Cells and Lymphoblast Cells Using Moving K-Meansrn10. Sistem Monitoring Realtime Jaringan Irigasi Desa (JIDES) Dengan Konsep Jaringan Sensor Nirkabel

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Ketersediaan

J00047-1

620.005 IJE i

Tersedia

Informasi Detail

Judul Seri

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No. Panggil

620.005 IJE i

Penerbit

Yogyakarta : Gadjah Mada Universit y., 2018

Deskripsi Fisik

119-232 hlm.

Bahasa

English

ISBN/ISSN

2088-3714

Klasifikasi

620.005

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

Vol.8 No.2, October 2018

Subjek

density
Wireless Sensor network
ultrasonic
microcontroller
Raspberry Pi
support vector machine
PSU
Hybrid Power Supply
Solar cell
Baterry
Power Hybrid Method
Quadrotor
Fiducial marker
OpenCV
UPS (Ultrasonic Ping Sensor)
liquids
ultrasonic velocity
pressure sensor
flow control
pump test bed
Mobile version virtual class
Recommendation system
Social constructivism
Course material database
Gray Level Co-occurrence Matrix
Convolutional Neural Network
Brain Tumor Classification
Meningioma
Glioma
Pituitary Tumor
preterm birth prediction
MARS
hybrid
classification
landslide sensor
low cost sensor node
early warning system
wireless sensor node
Acute Lymphoblastic Leukemia
White Blood Cell Segmentation
Moving K-Means
Watershed Transformation
Village irrigation
Monitoring System

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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