Optimization of the Electronic Nose Sensor Array for Asthma Detection Based on Genetic Algorithm
Author:
Affiliation:
1. Department of Informatics, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo-Surabaya, Surabaya, Indonesia
2. Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo-Surabaya, Surabaya, Indonesia
Funder
Asian Development Bank under the Higher Education for Technology Innovation (ADB HETI) Project
Indonesian Ministry of Education and Culture under Penelitian Terapan Unggulan Perguruan Tinggi (PTUPT) Program
Institut Teknologi Sepuluh Nopember (ITS) under Project Scheme of the Publication Writing and Intellectual Property Right (IPR) Incentive Penulisan Publikasi dan Hak Kekayaan Intelektual
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10171377.pdf?arnumber=10171377
Reference36 articles.
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4. Using Deep 1D Convolutional Grated Recurrent Unit Neural Network to Optimize Quantum Molecular Properties and Predict Intramolecular Coupling Constants of Molecules of Potential Health Medications and Other Generic Molecules
5. An improved genetic algorithm and its application in neural network adversarial attack
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