Mu Bin
Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
E-Mail:
Professional Title: Professor
Academic Titles: Professor & Deputy Dean
Discipline:
Computer Science and Technology
Computer Software and Theory
Computer Applied Technology
Software Engineering
Electronic Information Engineering
Intelligent Science and technologyy
Achievements of The Thesis
- [1]Mu Bin.The ELM Model with Residual Compensation Based on ARIMA for North Atlantic Oscillation Index Prediction2021,122 - 126.
- [2]Mu Bin.Typhoon intensity forecasting based on LSTM using the rolling forecast methodST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND:Algorithms,2021,14(3):
- [3]Mu Bin.Efficient executions of community earth system model onto accelerators using GPUs6th International Conference on Robotics and Artificial Intelligence, ICRAI 2020,2020,192-199.
- [4]Mu Bin.Data Assimilation by Artificial Neural Network using Conventional Observation for WRF Model5th International Conference on Machine Learning Technologies, ICMLT 2020,2020,62-67.
- [5]Mu Bin.Prediction of North Atlantic Oscillation Index Associated with the Sea Level Pressure Using DWT-LSTM and DWT-ConvLSTM NetworksADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON, W1T 5HF, ENGLAND:MATHEMATICAL PROBLEMS IN ENGINEERING,2020,2020
- [6]Mu Bin.Applying Convolutional LSTM Network to Predict El Nino Events: Transfer Learning from The Data of Dynamical Model and Observation345 E 47TH ST, NEW YORK, NY 10017 USA:10th IEEE International Conference on Electronics Information and Emergency Communication (IEEE ICEIEC),2020,215-219.
- [7]Mu Bin.Applying Convolutional LSTM Network to Predict El Niño Events: Transfer Learning from the Data of Dynamical Model and Observation10th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2020,2020,215-219.
- [8]Mu Bin.“数据库课程设计”课程的实践教学方法探索工业和信息化教育,2020,(03):43-48.
- [9]Mu Bin.CNOP-P-Based Parameter Sensitivity Analysis for North Atlantic Oscillation in Community Earth System Model Using Intelligence AlgorithmsADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON, W1T 5HF, ENGLAND:ADVANCES IN METEOROLOGY,2020,2020
- [10]Mu Bin.Applying Convolutional LSTM Network to Predict El Ni?o Events: Transfer Learning from the Data of Dynamical Model and Observation10th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2020,2020,215-219.