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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2025

Intelligent Air Quality Control Through Continuous Policy Learning

The record

Type
Publication
Date
1 January 2025
Level
National
Journal
Proceedings of the 9th International Conference on Inventive Systems and Control Icisc 2025
Pages
1282-1288
Published
1 January 2025
DOI
10.1109/icisc65841.2025.11188208
Scopus ID
105020903519
Authors
6
Open access
No
Citations
0
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 13 Take urgent action to combat climate change and its impacts

    GoalPrimaryHigh confidenceJudged

    Deep reinforcement learning framework using actor-critic model enables real-time air quality index forecasting and optimal environmental control measures.

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1
  2. 11 Make cities and human settlements inclusive, safe, resilient and sustainable

    GoalSecondaryHigh confidenceJudged

    Air quality management technology supports sustainable cities and improved urban environmental conditions.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-2.5 Green economy, energy transition and climate resilience

    Sub-themePrimaryHigh confidenceJudged

    Environmental AI research advances climate resilience and urban air quality management for sustainable development.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Intelligent Air Quality Control Through Continuous Policy Learning”. Kortex.

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