Invention Grant
- Patent Title: Sensor tuning—sensor specific selection for IoT—electronic nose application using gradient boosting decision trees
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Application No.: US16707679Application Date: 2019-12-09
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Publication No.: US11619618B2Publication Date: 2023-04-04
- Inventor: Mohammed Abdi , Aminat Adebiyi , Alberto Mannari , Andrea Fasoli , Ronald Robert Labby , Luisa Bozano , Pawan Chowdhary , Abubeker Abdullahi
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: CanaanLaw, P.C.
- Agent Karen Canaan
- Main IPC: G01N33/00
- IPC: G01N33/00 ; G06K9/00 ; G06K9/62 ; G16Y20/10 ; G16Y40/35 ; G16Y40/10 ; G06N20/20

Abstract:
Provided is a system and method for tuning an array of sensors to enable selection of the most suitable sensors for a target application. After extracting features from sensor raw data, the extracted features are ranked with gradient boosting decision trees to assign an importance value to each extracted feature. A threshold value for the entire set of extracted features is calculated and an importance score is calculated for the individual sensors of the array. Individual sensors with an importance score on or above the threshold value are selected for the target application.
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