UTeM Searching Location System Based on Image.
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1 Research mainly for detection of bottle cap, through the image preprocessing and precise processing to solve the human visual error rate and contingency, realized based on
The Thesis provides a rapid channel line recognition algorithm on the basis of machine vision which firstly outlines the profile pixel of channel line using the grayscale differences
The expected output of this project is the system will be able to provide convenience way to user in handling grant and researcher management more efficiently
penulis membuat aplikasi menggunakan teknologi Google Maps API berbasis Android, karena terhubung dengan LBS (Location Based Ser- vice) dan GIS (Geografis Informasi
Jika dari aplikasi pengenalan wajah sudah mengirimkan data status kehadiran ke database seperti pada Gambar 4.1 maka otomatis ketika halaman website dimuat ulang maka akan
In this research, a stroke identification system has been built comprising image enhancement with CLAHE, feature extraction statistically with the mean value, deviation standard,
131 Index AKM,seeApproximate K-Means Approximate K-Means, 23 Bag of Words, 19 Inverted File, 20 Min-Hash, 23 Multiple Dictionaries, 95 Binary Signature Locality Sensitive Hashing,
Device • After receiving the request from the user the system will execute haversine algorithm which will calculate the nearest police station and then sends the request to the nearby
