Blue and Green-Mode Energy-Efficient Chemiresistive Sensor Array Realized by Rapid Ensemble Learning

arXiv:2403.01642v1 Announce Type: new
Abstract: The rapid advancement of Internet of Things (IoT) necessitates the development of optimized Chemiresistive Sensor (CRS) arrays that are both energy-efficient and capable. This study introduces a novel optimization strategy that employs a rapid ensemble learning-based model committee approach to achieve these goals. Utilizing machine learning models such as Elastic Net Regression, Random Forests, and XGBoost, among others, the strategy identifies the most impactful sensors in a CRS array for accurate classification: A weighted voting …

abstract advancement array arrays arxiv cs.ce cs.lg cs.sy development eess.sy energy ensemble green internet internet of things iot novel optimization optimization strategy sensor strategy study type