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Predicting catastrophic temperature changes based on past events via a CNN-LSTM regression mechanism
Authors:Yusuf  Syed Adnan  Alshdadi   Abdulrahman A.  Alassafi  Madini O.  AlGhamdi  Rayed  Samad  Abdul
Affiliation:1.Research Department, Intelexica Ltd, Southampton, UK
;2.Department of Information Systems and Technology, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia
;3.Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, P.O.Box 80221, Jeddah, 21589, Kingdom of Saudi Arabia
;4.Computer Science Department, Duluth Campus, University of Minnesota, Minneapolis, USA
;
Abstract:Neural Computing and Applications - The modelling and prediction of extreme temperature changes in enclosed compartments is a domain with applications ranging from residential fire alarms,...
Keywords:
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