Feb. 15, 2024, 5:43 a.m. | Shivam Singh, Sajana S, Poornima, Gajje Sreelekha, Chandranath Adak, Rajendra P. Shukla, Vinayak Kamble

cs.LG updates on arXiv.org arxiv.org

arXiv:2307.06556v2 Announce Type: replace-cross
Abstract: Detection of Volatile Organic Compounds (VOCs) from the breath is becoming a viable route for the early detection of diseases non-invasively. This paper presents a sensor array with three metal oxide electrodes that can use machine learning methods to identify four distinct VOCs in a mixture. The metal oxide sensor array was subjected to various VOC concentrations, including ethanol, acetone, toluene and chloroform. The dataset obtained from individual gases and their mixtures were analyzed using …

abstract analysis array arxiv cond-mat.mtrl-sci cs.lg detection diseases identify machine machine learning metal paper physics.app-ph route sensor type

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