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林凡
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副教授
博士生导师
硕士生导师
- 教师英文名称：Fan Lin
- 电子邮箱：678403952c7c64c39c3047159c030e1b6f83cbc9cc10d4a6a50946f160aa01164849c90442f31722e8dc653fc752aadcc7836bcaf984fd486b2b521cd01a2483bd359a6014289181b76ddd9b324416c07fbbd45b53befe4148c842cc88ab9976f12fd2e5a98f9c4dd15ef93db4b3e887499305942766f9fc24a7fe51022d5907
- 入职时间：2000-08-15
- 所在单位：信息学院
- 学历：博士研究生毕业
- 性别：男
- 学位：理学博士学位
- 在职信息：在职
- 毕业院校：厦门大学
访问量：
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[61]林凡.A network information security risk assessment method based on cloud model.Revista de la Facultad de Ingenieria,31(4):133-144.
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[62]林凡,Medical Cloud Computing Risk Prediction Method Based on Analytic Hierarchy Process and MRHGA-RBF Neural Networking Optimization.JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS,2015,6(4):1076-1087.
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[63]杨律青,林凡.An efficient estimation method coping with the capture effect for RFID tags identification and application in remote learning.Journal of Intelligent and Fuzzy Systems,2016,31(5):2707-2712.
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[64]林凡.Multi-datacenter cloud storage service selection strategy based on AHP and backward cloud generator model.Neural Computing and Applications,2016,1-15.
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[65]林凡,张志宏,Study of TCM clinical records based on LSA and LDA SHTDT model.EXPERIMENTAL AND THERAPEUTIC MEDICINE,2015,12(1):288-296.
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[66]林凡,Extreme learning machine: a new alternative for measuring heat collection rate and heat loss coefficient of water-in-glass evacuated tube solar water heaters.SPRINGERPLUS,2016,5
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[67]林凡,Application of traffic flow prediction based on back propagation neural network.Advances in Transportation Studies,2015,283-88.
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[68]林凡,Distributed storage video cloud of intelligent transportation system based on the backward cloud generator.Advances in Transportation Studies,2015,215-22.
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[69]林凡,TCM clinic records data mining approaches based on weighted-LDA and multi-relationship LDA model.Multimedia Tools and Applications,2016,1-30.
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[70]林凡,Comparative Study on Theoretical and Machine Learning Methods for Acquiring Compressed Liquid Densities of 1,1,1,2,3,3,3-Heptafluoropropane (R227ea) via Song and Mason Equation, Support Vector Machine, and Artificial Neural Networks.APPLIED SCIENCES-BASEL,2015,6(1):
