Go to the profile of Naushad Ahmad

Naushad Ahmad (He/Him)

Assistant Professor, KCC Institute of Technology and Management
  • India

Intro Content

Quantum Machine Intelligence
Behind the Paper

Quantum-inspired neural networks for time-series air pollution prediction and control of the most polluted region in the world

Researchers in the field of quantum computing are primarily focused on quantum-inspired algorithms, which function effectively on classical computers while incorporating quantum principles. A significant challenge in heavily polluted areas is accurately predicting air pollution levels.

Popular Content

Water, Air, & Soil Pollution
Behind the Paper

Spatio-Temporal Forecasting using a Hybrid BiGRU-1DCNN Model for PM2.5 Concentrations in Delhi, India (2018-2023) Across Multiple Monitoring Stations

Air quality deterioration, particularly the suspension of particulate matter over large urban areas, has emerged as a significant environmental concern. This issue, exacerbated by urbanization, industrialization, human activities, and climate change, poses serious health risks to populations.
Go to the profile of Naushad Ahmad
Naushad Ahmad
Jan 08, 2026

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Behind the Paper

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