Volatile Organic Compound

Volatile organic compounds (VOCs) are organic chemicals that readily evaporate at room temperature, impacting various fields from medicine to environmental monitoring. Current research focuses on developing advanced sensor arrays and machine learning algorithms, such as neural networks (e.g., LSTM) and ensemble methods (e.g., Random Forest, K-Nearest Neighbors), to improve VOC detection, classification, and quantification in complex mixtures. These advancements are crucial for applications like non-invasive disease diagnosis through breath analysis, optimizing building energy efficiency through occupancy detection, and transforming hazardous VOCs into valuable fuels via catalytic reforming. The development of robust and accurate models is driving progress across diverse scientific and engineering disciplines.

Papers

January 13, 2024

Classification of Volatile Organic Compounds by Differential Mobility Spectrometry Based on Continuity of Alpha Curves
Anton Rauhameri, Angelo Robiños, Osmo Anttalainen, Timo Salpavaara, Jussi Rantala, Veikko Surakka, Pasi Kallio, Antti Vehkaoja, Philipp Müller
Classification Code Continuous Speech Aggregated Curve Dispersion Profile Electronic Nose Volatile Organic Compound

July 25, 2023

Turning hazardous volatile matter compounds into fuel by catalytic steam reforming: An evolutionary machine learning approach
Alireza Shafizadeh, Hossein Shahbeik, Mohammad Hossein Nadian, Vijai Kumar Gupta, Abdul-Sattar Nizami, Su Shiung Lam, Wanxi Peng, Junting Pan, Meisam Tabatabaei, Mortaza Aghbashlo
Catalyst Design Evolutionary Machine Learning Fuel Information Volatile Organic Compound

July 13, 2023

Metal Oxide-based Gas Sensor Array for the VOCs Analysis in Complex Mixtures using Machine Learning
Shivam Singh, Sajana S, Poornima, Gajje Sreelekha, Chandranath Adak, Rajendra P. Shukla, Vinayak Kamble
Machine Learning Mixture Component Sensor Array Heavy Metal Volatile Organic Compound

March 7, 2022

Using Statistical Models to Detect Occupancy in Buildings through Monitoring VOC, CO$_2$, and other Environmental Factors
Mahsa Pahlavikhah Varnosfaderani, Arsalan Heydarian, Farrokh Jazizadeh
Statistical Model Residential Building Occupancy Information Occupancy Detection Environmental Factor Volatile Organic Compound

Volatile Organic Compound

Papers

Classification of Volatile Organic Compounds by Differential Mobility Spectrometry Based on Continuity of Alpha Curves

Turning hazardous volatile matter compounds into fuel by catalytic steam reforming: An evolutionary machine learning approach

Metal Oxide-based Gas Sensor Array for the VOCs Analysis in Complex Mixtures using Machine Learning

Using Statistical Models to Detect Occupancy in Buildings through Monitoring VOC, CO$_2$, and other Environmental Factors