Publication2021
Application of 1-Dimensional Convolution Neural Network based Machine Learning Approach for Prediction of Air Quality Index
The record
- Type
- Publication
- Date
- 1 January 2021
- Level
- National
- Journal
- Proceedings 2021 19th Oits International Conference on Information Technology Ocit 2021
- Pages
- 341-346
- Published
- 1 January 2021
- DOI
- 10.1109/ocit53463.2021.00074
- Scopus ID
- 85127385434
- Authors
- 4
- Open access
- No
- Citations
- 5
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
13 Take urgent action to combat climate change and its impacts
1D-CNN machine learning model for air quality index prediction enables real-time pollution monitoring and climate action planning.
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Convolutional neural network comparative analysis advances machine learning research capacity for environmental prediction.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.5 Green economy, energy transition and climate resilience
Environmental monitoring through ML directly supports climate change mitigation and climate resilience planning.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “Application of 1-Dimensional Convolution Neural Network based Machine Learning Approach for Prediction of Air Quality Index”. Kortex.