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[个人简介] [研究兴趣] [科研项目] [教育背景] [工作经历] [课程教学]
[奖励及荣誉] [学术兼职与服务] [学生培养] [论著发表] [English Version]
个人简介：
李彦夫，清华大学质量与可靠性研究院院长、清华大学工业工程系长聘教授。2011-2016年任教于法国巴黎中央理工与高等电力学院。长期致力于工业大数据分析、人工智能、系统可靠性、预测性维护(PdM)理论与方法的研究。代表性论文发表在《Production and
Operations Management》、《INFORMS Journal on
Computing》、《IEEE Transactions》系列、《IISE Transactions》等国际著名期刊，其中ESI高被引6篇，2019-2023年连续入选爱斯维尔中国高被引学者榜单，2020-2022连续入选美国斯坦福大学发布的全球前2%顶尖科学家榜单。出版专著2部，编著教材2部，授权发明专利11项。主持国家自然科学基金重点项目、国家重点研发计划课题以及市场监管总局委托项目。与华为、南方电网等头部企业长期合作，多项研究成果企业应用转化。获得中国运筹学会应用奖、省部级科技进步二等奖1项，以及多项国际国内学会论文奖项。服务质量强国战略，开展质量政策研究，多项资政报告成果被市场监管总局、全国人大财经委等部门采纳。担任可靠性旗舰期刊《Reliability Engineering
& Systems Safety》和《IEEE Transactions on
Reliability》副主编、中国系统工程学会系统可靠性专委会副主任委员、中国质量奖评审专家。
研究方向：
· 工业大数据分析
· 系统可靠性
· 人工智能
· 预测性维护(Predicative Maintenance, PdM)
科研项目：
纵向课题
·
2018.01-2022.12：大数据驱动的高速铁路高可用性研究，国家自然科学基金重点项目(71731008)，项目负责人
·
2017.07-2020.12：质量与可靠性相关标准走出去适用性技术研究，科技部国家重点研发计划(2017YFF0209505)，课题负责人
·
2019.12-2022.12：基于数字孪生技术的城轨列车走行系统故障预测与健康管理，北京市自然科学基金-轨道交通联合基金项目(L191022)，项目负责人
·
2020.05-2020.12：质量基础设施一站式服务国际借鉴与应用指南编制，国家市场监督管理总局，项目负责人
·
2019.04-2022.03：工业机器人智能故障诊断及健康评估系统，科技部国家重点研发计划(2018YFB1306100)，课题骨干
·
2015.01-2016.12：Robust Scheduling of Wind Farm Power
Generation Considering System Reliability，法国外交与国际发展部，主持
·
2013.01-2013.12：Development of Optimized Methods
for the Reliability Prediction of Industrial Components and Systems，法国国家科研中心，主持
·
2012.09-2016.09：Research Network on Flexible Risk
Assessment and Decision Science，欧盟第7框架项目，参与
横向课题
·
2020.07-2021.06，电信网络运维系统建模技术合作项目，华为技术有限公司
·
2020.07-2022.07，基于大数据分析的民机结构振动响应人工智能预测研究，中国商飞上海飞机设计研究院
·
2020.04-2021.04：滚齿刀具的预测性维护，大众中国
·
2020.04-2020.12：噪声声源识别测试及列车轮对视情维修研究，西安局铁路局
·
2020.04-2020.12：高速列车空心车轴的探伤周期研究，西安局铁路局
·
2019.12-2021.12：轮对智能维保体系规划，智奇铁路设备有限公司
·
2018.11-2019.10：不完全维修下最优维修策略制定方法，中广核苏州热工研究院
·
2018.11-2019.07：装备可靠性测试效率提升，华为机器有限公司
·
2018.06-2019.03：Standardization of evaluation flow
and dataset for machine learning methods，日本三菱重工
·
2018.03-2019.05：智能电表及计量终端信息安全及可靠性理论研究，南方电网
·
2015.09-2016.07：Methods for the construction of
rule-bases by automatic learning from data recorded on railway transport
components and systems，法国阿尔斯通公司
·
2013.04-2016.03：Development of methods for modeling
degradation and maintenance of critical components and of a framework for
integrating information and data of different nature，法国电力公司
教育背景：
·
2005.08
– 2009.08：新加坡国立大学，工业与系统工程，博士
·
2001.09
– 2005.06：武汉大学，软件工程，工学学士；生命科学，辅修
工作经历：
·
2016.09
- 今： 清华大学工业工程系，教授
· 2011.01 - 2016.08：法国巴黎中央理工-高等电力学院，助理教授-教授
·
2009.11
- 2010.10：美国田纳西大学，工业与信息工程系，博士后
·
2009.08
- 2009.10：新加坡国立大学，工业与系统工程系，研究工程师
课程教学：
本科生课程：
·
机器学习与大数据，2019-今
·
智能工程系统，2019-今
研究生课程：
· 可靠性工程与风险管理，2017-今（博士生课程）
· 管理经济学，2017-今（工程硕士课程）
[个人简介]
[研究兴趣] [科研项目] [教育背景]
[工作经历]
[课程教学]
[奖励及荣誉] [学术兼职与服务] [学生培养] [论著发表] [English Version]
奖励及荣誉：
学生获奖及荣誉称号：
·
2016：林焱辉(2017，博)，北京航空航天大学卓越百人计划副教授
·
2018：刘若沖(2017，博)，三菱助学金
·
2018：刘若沖(2017，博)，中国优选法统筹法与经济数学研究会工业工程分会学术交流暨学会年会优秀论文奖
·
2018：都梦雨(2017，硕)，三菱助学金。
·
2018：都梦雨(2017，硕)，中国优选法统筹法与经济数学研究会工业工程分会学术交流暨学会年会优秀论文奖
·
2019：贾传洲(2017，博)，国家奖学金
·
2019：邵成武(2018，博)，综合优秀二等奖学金
·
2019：邵成武(2018，博)，清华大学优秀学生干部
·
2019：邵成武(2018，博)，中国优选法统筹法与经济数学研究会工业工程分会学术交流暨学会年会优秀论文奖
·
2020：邵成武(2018，博)，北京市三好学生
·
2020：钱敏(2019，博)，综合优秀二等奖学金
·
2020：钱敏(2019，博)，清华大学优秀共青团员
·
2020：钱敏(2019，博)，中国优选法统筹法与经济数学研究会工业工程分会学术交流暨学会年会最佳论文奖
本人主要获奖及荣誉称号：
· 2021：Elsevier 2020年度中国高被引学者
· 2020：清华大学第十七届“良师益友”
· 2020：清华-华为联合研究院年度优秀技术合作成果奖“星辰奖”
· 2020：Elsevier 2019年度中国高被引学者
· 2020：2019年度 清华大学工业工程系 考核校级优秀奖
· 2019：清华大学学生社会实践 优秀指导教师
· 2015：法国研究指导资格(Habilitation à diriger des
Recherches, HDR)
· 2014：IEEE Senior Member
· 2011：国家示范性软件学院十佳本科毕业生
· 2010： IEEE TMC新加坡分会，最佳学生论文奖
学术兼职与领域服务：
领域服务
·
2020.05-2021.05清华大学国际合作与交流处 副处长（挂职）
·
2018.12
– 今 清华大学质量与可靠性研究院副院长、执行副院长
·
2017.07
– 今 清华大学系统运作与数字化管理研究所所长
学术兼职
· 《IEEE Transactions on Reliability》副主编
· 《IEEE Transactions on Industrial
Informatics》客座主编
· 《Reliability Engineering & Systems
Safety》客座主编
· 中国航空学报青年编委
· 《Journal of Polish Safety and Reliability Association》编委
· IEEE Reliability
Society, 管理委员会委员(AdCom member)
· IEEE Transportation
Electrification Community，指导委员会委员(Steering Committee
member)
· 中国系统工程学会系统可靠性专委会副主任委员
· 中国运筹学学会可靠性分会常务理事
· 中国优选法统筹法与经济数学研究会工业工程分会常务理事
· 中国人工智能学会不确定性分会常务理事
· 全国电工电子产品可靠性与维修性标准化技术委员会（SAC/TC24）委员
学生培养：
博士后：
已出站，现工作单位
· 孟会行，北京理工大学
· 姜珊，中央民族大学
在站
· 韩特，清华大学博士(水木学者)
· 孙沐夏，法国巴黎萨克雷大学博士
博士生：
已毕业
·
Elizaveta
KUZNETSOVA, (2011-2014),? ‘Agent-based modeling of micro-grid systems’，法国PS2E研究所
博士后
·
Ronay
AK (2011-2014), ‘Modeling, simulation and analysis of energy systems’，美国国家标准技术局 访问学者
·
林焱辉 (2012-2015), ‘An
Holistic Framework of Degradation Modeling for Reliability Analysis and
Maintenance Optimization of Nuclear Safety Systems’, 香港城市大学 博士后（现北京航空航天大学卓百副教授）
·
Rodrigo
MENA (2012-2015)，‘Advanced simulation
modeling and optimization for distributed generation systems’. 意大利米兰理工大学 博士后
·
孙沐夏 (2013-2019)，‘The reliability assessment and
optimization of arbitrary-state monotone systems with epistemic uncertainty’
在读
·
张晗笑
·
贾传洲
·
刘若沖
·
门天立
·
邵成武
·
武慧
·
钱敏
·
张晨
·
姜晨
·
孙亮亮
·
王菲芃
硕士生：
已毕业
· Denise TELLBACH (PhD
Candidate, MIT Auto-ID Labs)
· Mithlesh KUMAR
· Sébastien VALLA
· Roberto ROCCHETTA
· Nadia BOUDRIKA
· Islam ABUDIN
· 刘守洲
· 金全意
· 刘沛良
· Pierre-Victor MORALES
· Kanittha SETTHAPITAYAKUL
· 都梦雨（清华大学优秀毕业生，优秀硕士论文）
· Diana
Filipa Araújo
在读
·
熊尚
·
王亚楠
·
郑文强
本科生：
· 工5年级 级主任
[个人简介]
[研究兴趣] [科研项目] [教育背景]
[工作经历]
[课程教学]
[奖励及荣誉] [学术兼职与服务] [学生培养] [论著发表] [English Version]
论著发表：
期刊论文：
可靠性建模与评估
1. S.
Jiang, Y.F. Li*. 2020. Time-variant fatigue reliability evaluation of riveted
lap joint under stationary random loading. Proceedings of the Institution of
Mechanical Engineers, Part O: Journal of Risk and Reliability. 234(4),
567-578.
2. Z. Chi, R. Chen, S. Huang, Y.F. Li*, B. Zhou, W. Zhang. 2020. Multi-state
system modeling and reliability assessment for groups of highspeed train wheels.
Reliability Engineering and System Safety. 202, 107026.
3.
李彦夫，门天立. 2019. 列车车轮多边形磨损及其噪音研究综述. 振动、测试与诊断. 39(6), 1113-1152.
4.
S. Wang, Y.F. Li*, Y. Wang. 2018. Hybrid uncertainty
model for multi-state systems and linear programming-based approximations for
reliability assessment. IISE Transactions.
50 (12), 1058- 1075. (Featured article)
5.
Y.H. Lin, Y.F. Li*, E. Zio. 2018. A
Comparison between Monte Carlo Simulation and Finite-Volume Scheme for
Reliability Assessment of Multi-State Physics Systems. Reliability Engineering & System Safety. 174, 1-11.
6.
D. Tellbach, Y.F. Li*. 2018. Cyber-Attacks
on Smart Meters in Household Nanogrid: Modeling, Simulation and Analysis. Energies. 11(2), 316.
7.
E.M. Larsen,
Y. Ding, Y.F. Li, E. Zio. Definitions of Generalized Multi-Performance
Multi-State k-out-of-n System and its Reliability Evaluations. Reliability Engineering & System Safety
(accepted).
8.
I. Abdin, Y.F. Li*, E. Zio. 2017. Risk
Assessment of Power Transmission Network Failures in a Uniform Pricing
Electricity Market Environment. Energy.
138, 1042-1055.
9.
H.D. Mo, Y.F. Li*, E. Zio. 2016. A
System-of-Systems Framework for the Reliability Analysis of Distributed
Generation System Accounting for the Impact of Degraded Communication Networks.
Applied Energy. 183, 805-822.
10.
Y.H. Lin, Y.F. Li*, E. Zio. 2016.
Reliability Assessment of Systems Subject to Dependent Degradation and Random
Shock Processes. IIE Transactions.
48(11), 1072-1085. (Featured article)
11.
Y.H. Lin, Y.F. Li, E. Zio. 2016. A
Reliability Assessment Framework for Systems with Degradation Dependency by
Combining Binary Decision Diagrams and Monte Carlo Simulation. IEEE Transactions on Systems, Man, and
Cybernetics: Systems. 46(11), 1556-1564.
12.
Y.H. Lin, Y.F. Li, E. Zio. 2016. Component
Importance Measures for Components with Multiple Dependent Competing
Degradation Processes and Subject to Maintenance. IEEE Transactions on Reliability. 65(2), 547-557.
13.
Y.H. Lin, Y.F. Li*, E. Zio. 2015. Fuzzy
Reliability Assessment of Systems with Multiple Dependent Competing Degradation
Processes. IEEE Transactions on Fuzzy
Systems. 23(5), 1428-1438.
14.
Y.F. Li*, S. Valla,
E. Zio. 2015. Reliability
Assessment of Generic Geared Wind Turbines by GTST-MLD Model and Monte Carlo
Simulation. Renewable Energy. 83,
222-233.
15.
Y.H. Lin, Y.F. Li*, E. Zio. 2015.
Integrating Random Shocks into Multi-State Physics Models of Degradation
Processes for Component Reliability Assessment. IEEE Transactions on Reliability. 64(1), 154-166.
16.
Y.F. Li, R. Peng. 2014. Availability
modeling and optimization of dynamic multi-state series–parallel systems with
random reconfiguration. Reliability
Engineering & System Safety. 127, 47-57.
17.
Y.F. Li*, Y. Ding, E. Zio. 2014. Random
Fuzzy Extension of the Universal Generating Function Approach for the
Reliability Assessment of Multi-State Systems under Aleatory and Epistemic
Uncertainties. IEEE Transactions on
Reliability. 63(1), 13 - 25.
18.
Z. Yang, Y.X. Chen, Y.F. Li, E. Zio, R.
Kang. 2014. Smart Electricity Meter Reliability Prediction based on Accelerated
Degradation Testing and Modeling. International
Journal of Electrical Power & Energy Systems. 56, 209-219.
19.
Y.F. Li*, E. Zio, Y.H. Lin. 2012. A Multistate
Physics Model of Component Degradation Based on Stochastic Petri Nets and
Simulation. IEEE Transactions on
Reliability. 61(4), 921-931.
20.
Y.F. Li*, E. Zio. 2012. A Multi-State
Model for the Reliability Assessment of a Distributed Generation System via
Universal Generating Function.
Reliability Engineering & Systems Safety. 106, 28–36.
21.
Y.F. Li*, E. Zio. 2012. Uncertainty
Analysis of the Adequacy Assessment Model of a Distributed Generation System. Renewable Energy. 41, 235-244.
22.
Y. Ding, E. Zio, Y.F. Li, L. Cheng, Q. W.
Wu. 2012. Definition of Multi-state Weighted k-out-of-n: F Systems. International Journal of Performability
Engineering. 8(2), 217-219.
23.
Y.F. Li, R. Peng. 2015. Service
Reliability Modeling of Distributed Computing Systems with Virus Epidemics. Applied Mathematical Modelling. 39(18),
5681-5692.
24.
C.T. Lin, Y.F. Li*. 2014. Rate-Based
Queueing Simulation Model of Open Source Software Debugging Activities. IEEE Transactions on Software Engineering.
40(11), 1075 – 1099.
25.
Y.S. Dai, Y.P. Xiang, Y.F. Li, L.D. Xing.
2011. Consequence Oriented Self-Healing and Autonomous Diagnosis for Highly
Reliable Systems and Software. IEEE
Transactions on Reliability. 60(2), 369 – 380.
26.
X. Li, Y.F. Li, M. Xie, S.H. Ng. 2011.
Reliability analysis and optimal version-updating for open source software. Information and Software Technology.
53(9), 929-936.
27.
R. Peng, Y.F. Li, W.J. Zhang, Q.P. Hu.
2014. Testing effort dependent software reliability model for imperfect
debugging process considering both detection and correction. Reliability Engineering & System Safety
126, 37–43.
28.
R. Peng, Y.F. Li*, J.G. Zhang, X. Li.
2015. A risk-reduction approach for optimal software release time determination
with the delay penalty cost. International
Journal of Systems Science. 46(9), 1628-1637.
可靠性、风险与维修决策优化
29.
Y. Xue, Y.F. Li*.
2020. Multi-objective Integer Programming Approaches for Solving the
Multicriteria Test-suite Minimization Problem: Towards Sound and Complete
Solutions of a Particular Search-based Software-engineering Problem. ACM
Transactions on Software Engineering and Methodology, 29(3), Article 20.
30.
S.M. Wang, Y.F. Li*, T. Jia. 2020.
Distributionally Robust Design for Redundancy Allocation. INFORMS Journal on Computing, 32(3), pp. 620-640.
31.
M. Du, Y.F. Li*. 2020. An investigation of
new local search strategies in memetic algorithm for redundancy allocation in
multi-state series-parallel systems. Reliability Engineering and System
Safety. 195, 106703.
32.
H. Wu, Y.F. Li*. 2020. Optimal inspection and
maintenance for a repairable k-out-of-n: G warm standby system. Reliability Engineering and System Safety.
193, 106669.
33.
S. Zhang, M.Y. Du,
J.J. Tong, Y.F. Li*. 2019. Multi-objective Optimization of
Maintenance Program in Multi-unit Nuclear Power Plant Sites. Reliability Engineering & System Safety,
188, 532-548.
34.
M.X. Sun, Y.F. Li*, E. Zio. 2019. On the
Optimal Redundancy Allocation for Multi-State Series-Parallel Systems under
Epistemic Uncertainty. Reliability
Engineering & System Safety 192, 106019.
35.
H. Long, Z.J. Zhang, M.X. Sun, Y.F. Li.
2018. A Data-Driven Robust Optimization Model for Wind Farm Operations. Energy. 149, 485-495.
36.
Y.H. Lin, Y.F. Li*, E. Zio. 2018. A Framework
for Modeling and Optimizing Maintenance in Systems Modeled by
Piecewise-Deterministic Markov Processes Considering Epistemic Uncertainty. IEEE Transactions on Industrial Informatics.
14(1), 210-220.
37.
R. Mena, M. Hennebel, Y.F. Li, E. Zio.
2016. A multi-objective optimization framework for risk-controlled integration
of renewable generation into electric power systems. Energy. 106, 712-727.
38.
R. Rocchetta, Y.F.
Li*, E. Zio. 2015. Risk Assessment and Risk-Cost Optimization of
Distributed Power Generation Systems Considering Extreme Weather Conditions. Reliability Engineering & System Safety.
136, 47-61.
39.
R. Mena, M. Hennebel, Y.F. Li, C. Ruiz, E.
Zio. 2014. A Risk-Based Simulation and Multi-Objective Optimization Framework
for the Integration of Distributed Renewable Generation and Storage. Renewable & Sustainable Energy Reviews.
37, 778-793.
40.
R. Mena, M. Hennebel, Y.F. Li, E. Zio.
2014. A self-adaptable hierarchical clustering differential evolution for
optimal integration of renewable distributed generation. Applied Energy. 133, 388-402.
41.
E. Kuznetsova, Y.F. Li, C. Ruiz, E. Zio.
2014. An integrated framework of agent-based modelling and robust optimization
for microgrid energy management. Applied
Energy. 129, 70 – 88.
42.
E. Kuznetsova, C. Ruiz, Y.F. Li, E. Zio.
2015. Analysis of robust optimization for decentralized microgrid energy
management under uncertainty. International
Journal of Electrical Power and Energy Systems. 64, 815-832.
43.
Y.F. Li*, N. Pedroni, E. Zio. 2013. A
Memetic Evolutionary Multi-Objective Optimization Method for Environmental
Power Unit Commitment. IEEE Transactions
on Power Systems. 28(3), 2660 – 2669.
44.
E. Kuznetsova, Y.F. Li, C.R. Mora, E. Zio,
G. Ault, K. Bell. 2013. Reinforcement learning for microgrid energy management.
Energy. 59, 133–146.
45.
Y.F. Li*, G. Sansavini, E. Zio. 2013.
Non-Dominated Sorting Binary Differential Evolution for the Multi-Objective
Optimization of Cascading Failures Protection in Complex Networks. Reliability Engineering & System Safety.
111, 195–205.
46.
Y.F. Li*, S.H. Ng, M. Xie, T.N. Goh. 2010.
A Systematic Comparison of Metamodeling Techniques for Simulation Optimization
in Decision Support Systems. Applied Soft
Computing. 10, 1257-1273.
机器学习与PHM
47.
Z. Chi, T.
Zhou, S. Huang, Y.F. Li* (2020). A data-driven approach for the health
prognosis of high-speed train wheels. Proceedings of the Institution of
Mechanical Engineers, Part O: Journal of Risk and Reliability, 234(6),
735-747.
48.
H. Meng, Y.F. Li*. 2019. A review on
prognostics and health management (PHM) methods of lithium-ion batteries. Renewable and
Sustainable Energy Reviews. 116, 109405.
49.
R. Ak, Y.F. Li., V.
Vitelli, E Zio. 2018. Adequacy
Assessment of a Wind-Integrated System Using Neural Network-based Interval
Predictions of Wind Power Generation and Load. International Journal of Electrical Power
& Energy Systems. 95, 213-226.
50.
J. Huang, J. W. Keung, F. Sarro, Y.F. Li,
Y.T. Yu, W.K. Chan, H. Sun. 2017. Cross-validation based K nearest neighbor
imputation for software quality datasets: An empirical study. Journal of Systems and Software. 132,
226-252.
51.
J. Liu, Y.F. Li., E. Zio, E. 2017. A SVM
framework for fault detection of the braking system in a high speed train. Mechanical Systems and Signal Processing.
87, 401-409.
52.
J.L. Huang, Y.F. Li, M. Xie. 2015. An
empirical analysis of data preprocessing for machine learning-based software
cost estimation. Information and Software
Technology. 67(c), 108-127.
53.
R. Ak, Y.F. Li., V.
Vitelli, E. Zio, E. L. Droguettc, C. M. C. Jacintod. 2013.
NSGA-II-Trained Neural Network Approach to the Estimation of Prediction
Intervals of Scale Deposition Rate in Oil & Gas Equipment. Expert Systems with Applications. 40(4),
1205-1212.
54.
Y.F. Li*, M. Xie, T.N. Goh. 2010. Adaptive
ridge regression system for software cost estimating on multi-collinear
datasets. Journal of Systems and Software.
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55.
Y.F. Li*, M. Xie,
T.N. Goh. 2009. A Study of the Non-linear Adjustment for Analogy Based
Software Cost Estimation. Empirical
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56.
Y.F. Li*, M. Xie,
T.N. Goh. 2009. A Study of Mutual Information Based Feature Selection
for Case Based Reasoning in Software Cost Estimation. Expert Systems with Applications. 36(3),
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Y.F. Li*, M. Xie,
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专著章节：
1. H.
Meng, Y.F. Li. 2020. State of Health Prognostics of Lithium-Ion Batteries, in Stochastic
Models in Reliability Engineering. ed. Lirong Cui, Ilia Frenkel, Anatoly
Lisnianski. CRC Press Taylor & Francis Group.
2.
Y.H. Lin,
Y.F. Li, E. Zio. 2018. Reliability Assessment of Systems with Dependent Degradation
Processes Based on Piecewise-Deterministic Markov Process. In Recent Advances in Multi-state Systems
Reliability, Page: 213-225. Springer, Cham.
3.
Y.F. Li, E.
Zio. 2018. RAMS Optimization Principles, in Handbook
of Safety Principles. ed. Niklas Moller, Sven Ove Hansson, Jan-Erik
Holmberg, Carl Rollenhagen. John Wiley & Sons, NJ, USA.
4.
Y.F. Li, E.
Zio, Y.H. Lin. 2012. Methods of Solutions of Inhomogeneous Continuous Time
Markov Chains for Degradation Process Modeling, in Applied Reliability Engineering and Risk Analysis. Probabilistic Models
and Statistical Inference. Dedicated to the Centennial of the birth of
Boris Gnedenko, renowned Russian mathematician and reliability theorist. ed.
Alex Karagrigoriou, Anatoly Lisnianski, Andre Kleyner, Ilia Frenkel. Wiley.
5.
C.J. Xiong,
Y.F. Li, M. Xie, S.H. Ng, T.N. Goh. 2009. Service Reliability and Availability
Analysis of Distributed Software Systems Considering Malware Attack, in Advances in Software Engineering, vol.
36 of Communications in Computer and Information Science. Springer Berlin
Heidelberg. Page: 313-320. ISSN: 1865-0929. (ISTP)
6.
Y.F. Li, J.
Liu. 2005 Predicting Subcellular Localization of Proteins Using Support Vector
Machine with N-Terminal Amino Composition. in Advanced Data Mining and Applications, vol. 3584 of Lecture Notes
in Computer Science. Springer Berlin Heidelberg, Page: 618-625. ISSN:
0302-9743. (ISTP)
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