[HTML][HTML] ADFIST: adaptive dynamic fuzzy inference system tree driven by optimized knowledge base for indoor air quality assessment

J Saini, M Dutta, G Marques - Sensors, 2022 - mdpi.com
Air quality levels do not just affect climate change; rather, it leaves a significant impact on
public health and wellbeing. Indoor air pollution is the major contributor to increased …

Modeling indoor PM2. 5 using adaptive dynamic fuzzy inference system tree (ADFIST) on Internet of things-based sensor network data

J Saini, M Dutta, G Marques - Internet of Things, 2022 - Elsevier
Indoor air pollution is crucial for the building environment as it has a direct impact on human
health, prosperity, comfort, and productivity levels. Repeated exposure to toxic materials and …

[PDF][PDF] A fuzzy inference system prototype for indoor air and temperature quality monitoring and hazard detection

M Tennakoon, RV Mayorga… - Journal of Environmental …, 2010 - scholar.archive.org
This paper demonstrates a monitoring system that helps guide the user to attain comfortable
and safe room conditions. The monitoring system is divided in an Indoor Air and …

AI‐and IoT‐based hybrid model for air quality prediction in a smart city with network assistance

A Kataria, V Puri - IET Networks, 2022 - Wiley Online Library
Air pollution is one of the biggest concerns in the world but it has not been paid much
attention in developing countries. It is necessary to design models and methods to …

[HTML][HTML] Context-aware IoT-enabled framework to analyse and predict indoor air quality

K Rastogi, D Lohani - Intelligent Systems with Applications, 2022 - Elsevier
For a productive and healthy life, air quality plays an important role. This paper addresses
the requirements to develop a system capable of providing real-time information …

[HTML][HTML] Environment indoor air quality assessment using fuzzy inference system

BW Dionova, MN Mohammed, S Al-Zubaidi, E Yusuf - Ict Express, 2020 - Elsevier
Environment indoor quality (EIQ) is a significant aspect of the built environment to maintain
occupant health, comfort, prosperity and productivity. One of the most critical issues on EIQ …

A novel application of fuzzy inference system optimized with particle swarm optimization and genetic algorithm for PM10 prediction

J Saini, M Dutta, G Marques - Soft Computing, 2022 - Springer
Indoor air quality (IAQ) is a significant concern for occupant comfort, productivity levels,
health, and well-being. The presence of harmful chemicals, inhalable particles, and toxic …

[HTML][HTML] Indoor air quality prediction systems for smart environments: A systematic review

J Saini, M Dutta, G Marques - Journal of Ambient Intelligence …, 2020 - content.iospress.com
Air quality is a critical matter of concern in terms of the impact on public health and well-
being. Although the consequences of poor air quality are more severe in developing …

Air quality assessment using fuzzy inference systems

SA Nihalani, N Moondra, AK Khambete… - … : Select Proceedings of …, 2020 - Springer
Air quality index (AQI) is a consistent pointer of the air quality for any locality. AQI may
consider key air pollutants like sulphur dioxide, nitrogen dioxide, ground-level ozone …

Personalised healthcare model for monitoring and prediction of airpollution: machine learning approach

V Behal, R Singh - Journal of Experimental & Theoretical Artificial …, 2021 - Taylor & Francis
The drastic increase in atmospheric pollutants has resulted in the prevalence of hazardous
diseases like Asthma, Ischaemic heart disease, and Pulmonary disease around the world …