首页|Researchers from Saveetha University Detail Findings in Machine Learning (Therma l Modeling and Machine Learning for Optimizing Heat Transfer In Smart City Infra structure Balancing Energy Efficiency and Climate Impact)
Researchers from Saveetha University Detail Findings in Machine Learning (Therma l Modeling and Machine Learning for Optimizing Heat Transfer In Smart City Infra structure Balancing Energy Efficiency and Climate Impact)
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Current study results on Machine Learn ing have been published. According to news reporting originating in Chennai, Ind ia, by NewsRx journalists, research stated, "The paper proposes a framework base d on deep learning, transfer learning, and multi-objective optimisation to model and optimise heat transfer in smart city infrastructure to make them energy eff icient and thermally comfortable. The framework in the paper contains a building thermal dynamics prediction model developed using hybrid CNN-LSTM on an extensi ve dataset (12.56 metric tonnes) of Indian buildings covering various characteri stics, which is then fine-tuned with data from five major Indian cities." Financial supporters for this research include Princess Nourah bint Abdulrahman University, Princess Nourah bint Abdulrahman University.
ChennaiIndiaAsiaCyborgsEmerging TechnologiesMachine LearningSaveetha University
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