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Streamlining machine learning in mobile devices for remote sensing
Andrei D. Coronel
,
Ma Regina E. Estuar
, Kyle Kristopher P. Garcia
, Bon Lemuel T. Dela Cruz
, Jose Emmanuel Torrijos
, Hadrian Paulo M. Lim
,
Patricia Angela R. Abu
, John Noel C. Victorino
Department of Information Systems and Computer Science
Ateneo de Manila University
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
Overview
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Computer Science
Machine Learning
100%
Learning System
100%
Mobile Device
100%
Feature Extraction
75%
Support Vector Machine
50%
k-Nearest Neighbors Algorithm
50%
Mobile Application
25%
Computer Hardware
25%
Collecting Data
25%
Average Accuracy
25%
Model Development
25%
Microscopic Image
25%
Response Time
25%
Sampling Protocol
25%
Earth and Planetary Sciences
Remote Sensing
100%
Machine Learning
100%
Pattern Recognition
100%
Streamlining
100%
Agriculture
66%
Philippines
33%
Real Time
33%
Mobile Phone
33%
Engineering
Feature Extraction
100%
Learning System
100%
Agriculture
66%
Environmental Parameter
33%
Mobile Phone
33%
Collecting Data
33%
Response Time
33%
Surrounding Soil
33%
Sampling Protocol
33%
Chemical Engineering
Learning System
100%