Advanced AQI Interpretation using deep convolutional neural networks - a case study for Delhi

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Publication Details

Journal
Interdisciplinary Environmental Review
Published
2025-01-01
DOI
https://doi.org/10.1504/ier.2025.10071110
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Advanced AQI Interpretation using deep convolutional neural networks - a case study for Delhi

Sanjay Batra, Gaurav Sharma, Kavita Pabreja, Gauri Banga
Interdisciplinary Environmental Review
Fault Detection and Control Systems
article

Advanced AQI Interpretation using deep convolutional neural networks - a case study for Delhi

Sanjay Batra, Gaurav Sharma, Kavita Pabreja, Gauri Banga
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Interdisciplinary Environmental ReviewVol. 24(3)
Openalex Percentile: Top 89%
Fault Detection and Control Systems
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Advanced AQI Interpretation using deep convolutional neural networks - a case study for Delhi — Sanjay Batra, Gaurav Sharma, et al. · Interdisciplinary Environmental Review (2025) | TGRS Research Map | TGRS