Predicting catastrophic temperature changes based on past events via a CNN-LSTM regression mechanism.
Syed Adnan YusufAbdulrahman A. AlshdadiMadini O. AlassafiRayed AlGhamdiAbdul SamadPublished in: Neural Comput. Appl. (2021)
Keyphrases
- event detection
- model selection
- regression model
- spatio temporal
- real world
- simple linear
- regression analysis
- gaussian processes
- high temperature
- computational model
- social media
- image sequences
- polynomial regression
- real time
- locally weighted
- selection mechanism
- convolutional neural network
- event recognition
- regression problems
- linear regression
- recurrent neural networks
- temporal information
- human activities