主要成果 | 代表性課題👵🏽: 1) 幾類隨機分數階復雜網絡的參數及狀態估計問題研究,國家自然基金青年項目⛓️💥,主持; 2) 工業製造機理建模及知識表達範式理論,科技部科技創新2030-“新一代人工智能”重大項目課題子項目🤚🏿,主持👨🏿; 3) 一類隨機復雜網絡的參數及狀態估計問題研究👨🔧,上海市科委👴🏿,主持; 4) 網絡化環境下非線性隨機系統的濾波研究,上海市教委,主持; 5) 信息部分丟失下隨機Markov跳參數系統的非線性濾波,國家自然基金面上項目,參與; 6) 具有不完全測量信息的非線性隨機系統濾波問題研究,國家自然基金青年項目🧕🏼,參與;
人才計劃: Xiu Kan*, Chi-hung Chi, Le Cao, Huisheng Shu,Yixuan Fan. An adaptive simulated annealing and artificial fish swarm algorithm for the optimization of multi-depot express delivery vehicle routing, Intelligent Data Analysis, Vol.26, No.1, pp.239-256, 2022. 3) Houxin Jin, Le Cao, Xiu Kan*, Weizhou Sun, Wei Yao, Xialin Wang, Huisheng Shu,Wei Yao, Yixuan Fan. Coal petrography extracting approach based on multiscale mixed attention based residual U-net, Measurement Science and Technology, Vol.33, No.7, Article ID 075402, 2022. 4) Mengfei Yuan, Xiu Kan*, Chi-hung Chi, Le Cao, Huisheng Shu,Wei Yao, Yixuan Fan. Study of Driving Cycle of City Tour Bus Based on Coupled GA-K-means and HMM Algorithms: A Case Study in Beijing, IEEE Access, Vol.9, pp.20331-20345, 2021. 5) Mengmeng Guo, Xiu Kan*, Huisheng Shu, Optimal investment and reinsurance problem with jump-diffusion model, Communications in Statistics - Theory and Methods, Vol.50, No.5, pp.1082-1098, 2021. 6) Xiu Kan*, Dan Yang, Le Cao, Huisheng Shu, Yuanyuan Li,Wei Yao and Xiafeng Zhang. A Novel PSO-Based Optimized Lightweight Convolution Neural Network for Movements Recognizing from Multichannel Surface Electromyogram🙍🏼,Complexity🤵🏻,Article ID 6642463🤏🏻,2020. 7) Xiu Kan*, Jinling Liang, Yurong Liu, and Dobaie, Abdullah M. Robust H-infinity state estimation for BAM neural networks with randomly occurring uncertainties and sensor saturations, Neurocomputing, Vol.311, pp.225-234, 2018. 8) Xiu Kan, Huisheng Shu and Zhenna Li, Almost sure state estimation for nonlinear stochastic systems with Markovian switching, Nonlinear Dynamics, Vol.76, No.2, pp.1591-1602, 2014. 9) Xiu Kan, Huisheng Shu and zhenna Li, Robust state estimation for discrete-time delayed neural networks with linear fractional uncertainties and successive packet dropouts, Neurocomputing, Vol.135, pp.130-138, 2014. 10) Xiu Kan, Zidong Wang and Huisheng Shu, State estimation for discrete-time delayed neural networks with fractional uncertainties and sensor saturations, Neurocomputing, Vol.117, pp.64-71, 2013.
專利: 1) 闞秀,李令環,曹樂,奚崢皓,楊昊,劉樂遠.一種能夠實時監測護士疲憊程度的多功能護士帽. CN2019112016520. (發明專利,實審). 2) 闞秀,王夏霖,曹樂,孫維周,範藝璇,金厚鑫.基於多尺度U型神經網絡的焦炭顯微光學組織提取方法. CN202110406617.3. (發明專利,實審). 3) 闞秀,楊誕,曹樂, 黃經緯,王夏霖,張文艷, 範藝璇,李令環,閆炳成. 一種用於小鼠運動狀態信息采集與分析裝置. CN202011207717.5. (發明專利,實審). 4) 曹樂,闞秀,李思迪,黃經緯,劉樂遠,李敏.一種基於加速度傳感器的大小鼠步態監測裝置. CN2019111186971. (發明專利,實審). 5) 曹樂,闞秀,劉樂遠,黃經緯,李令環,魏德軒. 一種基於PVDF壓電薄膜傳感器的疲勞駕駛監測系統. CN2019111566307. (發明專利,實審). 6) 曹樂,李敏,闞秀,黃經緯,楊昊,沈頡,袁夢飛,張文艷,楊誕. 基於模擬電路的Spar平臺參數共振預測裝置及其方法. CN2020112082281. (發明專利,實審).
|