AIR SAFE: Leveraging IoT Sensors and AI Models to Foster Optimal Indoor Conditions

This publication has 15 references indexed in Scilit:

• Machine Learning and Deep Learning Methods for Enhancing Building Energy Efficiency and Indoor Environmental Quality – A Review
  Energy and AI, 2022
• Machine learning-based time series models for effective CO2 emission prediction in India
  Environmental Science and Pollution Research, 2022
• CNN-LSTM architecture for predictive indoor temperature modeling
  Building and Environment, 2021
• The role of hyperparameters in predicting rainfall using n-hidden-layered networks
  Natural Hazards, 2021
• An IoT enabled system for enhanced air quality monitoring and prediction on the edge
  Complex & Intelligent Systems, 2021
• A deep learning framework for building energy consumption forecast
  Renewable and Sustainable Energy Reviews, 2021
• IndoAirSense: A framework for indoor air quality estimation and forecasting
  Atmospheric Pollution Research, 2021
• LSTM-based indoor air temperature prediction framework for HVAC systems in smart buildings
  Neural Computing and Applications, 2020
• A review of deep learning in image recognition
  2017
• A Review of Image Recognition with Deep Convolutional Neural Network
  2017