A critical review on recent progress on nanostructured polyaniline (PANI) based sensors for various toxic gases: Challenges, applications, and future prospects

PK Mishra, HK Sharma, R Gupta, M Manglik… - Microchemical …, 2024 - Elsevier
Polyaniline (PANI)-based sensors have emerged as promising tools for gas detection, owing
to their remarkable electrical conductivity, environmental stability, and straightforward …

Enhancing environmental resilience: Precision in air quality monitoring through ai-driven real-time systems

A Mahule, K Roy, AD Sawarkar… - Artificial Intelligence for …, 2024 - taylorfrancis.com
This chapter delves into the innovative realm of real-time air quality monitoring systems,
harnessing the potential of artificial intelligence (AI) to provide both conceptual frameworks …

Machine learning-driven solar irradiance prediction: advancing renewable energy in Rajasthan

A Tandon, A Awasthi, KC Pattnayak, A Tandon… - Discover Applied …, 2025 - Springer
This research explores the potential of solar power as an eco-friendly alternative to fossil
fuels, focusing on Rajasthan, India. Using data from MERRA-2, researchers analysed solar …

13 Incorporationwith of AI

T Ghatak, R Jain, A Sarkar - Artificial Intelligence for Air Quality …, 2024 - books.google.com
One of the few factors which have helped life to evolve and be sustainable on this planet
was air. Pure air sustains life and growth of both flora and fauna and helps them to flourish …

[PDF][PDF] Efficacy of Machine Learning in Simulating Precipitation and Its Extremes Over the Capital Cities in North Indian States

A Tandon, A Awasthi, KC Pattnayak - 2024 - assets-eu.researchsquare.com
Climate change-induced precipitation extremes have become a pressing global concern.
This study investigate the predictability of precipitation patterns and its extremes using …

Sensor-Based Approaches for IAQ Monitoring and Control: PM2. 5 and PM10

NB Shabani - 2024 - papers.ssrn.com
This chapter focuses on the use of sensor technologies in tracking the indoors in such a
building concentration of aerosol (PM2. 5 and PM10), fine particles which are so damaging …

Air Quality Monitoring (AQM) and Prediction: Transitioning from Conventional to AI Techniques

A Awasthi, KC Pattnayak, PR Tiwari… - … Intelligence for Air …, 2024 - taylorfrancis.com
Deterioration of air is one of the important factors which is due to natural and anthropogenic
reasons, hence its accurate monitoring and prediction are important as it has a lot of …

Incorporation of AI with Conventional Monitoring Systems

TG Chakraborty, R Jain, A Sarkar - Artificial Intelligence for Air Quality … - taylorfrancis.com
Climate change in today's world can be considered as the fundamental cause of future mass
extinction events. It will not be an exaggeration to point out that pollution is the most …

Forecasting Air Pollution with Artificial Intelligence: Recent Advancements at Global Scale and Future Perspectives

P Rajak, S Adhikary, S Bhattacharya… - Artificial Intelligence for Air … - taylorfrancis.com
Rapid urbanization has significantly contributed to air pollution around the globe. Regular
incorporation of various air pollutants into the environment has imposed serious health …

Deep Learning Approaches in Air Quality Prediction

P Kaur, S Chaurasia, M Bansal, T Choudhury… - Artificial Intelligence for … - taylorfrancis.com
The chapter explores the application of deep learning (DL) techniques in the realm of air
quality prediction. It provides an in-depth analysis of various deep-learning models and …