A Smart-home Electronic-Nose for Detecting Hazardous Gases | ||||
| Journal of Computing and Communication | ||||
| Article 4, Volume 2, Issue 1, January 2023, Page 29-39 PDF (1001.32 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/jocc.2023.282088 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
khaled Hussein Moustafa  1; Haytham Metawie2; Ahmed Hany1; Ahmed Ehab1; omar Sherif1; omar saed3
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| 1Misr International University | ||||
| 2Misr International university | ||||
| 3Misr Inernational Universty | ||||
| Abstract | ||||
| The idea of networking household appliances and technologies has been promoted for over a decade using smart home technology. The Smart Homes Association defines "the combination of technology and services" for a higher living level as "smart home technology" through home networking. Computer tools come in a variety. Systems can also be included in smart home systems. In this essay, we present. Systems for Smart Homes that can use or include several technologies. Automatic detection of dangerous substances, early fires, smoke, and gas leaks is provided by this ground-breaking device. E-nose can recognize seven different odors with the help of various gas sensors and several machine learning techniques. Finally, if a hazardous gas spread occurs, the system sends out an alarm message that is particular to the gas or occurrence. Support Vector Machine (SVM), Logistic Regression, and Decision Tree all received an F1-score of 98% from us. Random Forest and K-Nearest Neighbors both received perfect scores | ||||
| Keywords | ||||
| An electronic nose; Smart home; Machine Learning; SVM; Decision Tree; Random Forest; Logistic Regression; Gas Sensors | ||||
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