A Machine Learning Approach for Environmental Assessment on Air Quality and Mitigation Strategy
Air pollution has a significant impact on environment resulting in consequences such as global warming and acid rain. Toxic emissions from vehicles are one of the primary sources of pollution. Assessment of air pollution data is critical in order to assist residents in locating the safest areas in t...
Saved in:
Main Authors: | Chetan Shetty, S. Seema, B. J. Sowmya, Rajesh Nandalike, S. Supreeth, Dayananda P., Rohith S., Vishwanath Y., Rajeev Ranjan, Venugopal Goud |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-01-01
|
Series: | Journal of Engineering |
Online Access: | http://dx.doi.org/10.1155/2024/2893021 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Efficient Policy-Based Scheduling and Allocation of Virtual Machines in Cloud Computing Environment
by: S. Supreeth, et al.
Published: (2022-01-01) -
Progressive Detection of Uncertainty in Natural Language Processing Using a Labeled Variable Dimension Kalman Filter
by: Lingaraj K., et al.
Published: (2024-01-01) -
Balancing mitigation strategies for viral outbreaks
by: Hamed Karami, et al.
Published: (2024-12-01) -
Optimizing Polar Air Traffic: Strategies for Mitigating the Effects of Space Weather‐Induced Communication Failures Poleward of 82°N
by: Dabin Xue, et al.
Published: (2024-12-01) -
Mayfly Taylor Optimisation-Based Scheduling Algorithm with Deep Reinforcement Learning for Dynamic Scheduling in Fog-Cloud Computing
by: G. Shruthi, et al.
Published: (2022-01-01)