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Machine Learning and Systems Engineering

  • Book
  • © 2010

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Editors:
  1. Sio-Iong Ao

    1. , Unit 1, 1/F, International Association of Engineers, Hong Kong, Hong Kong/PR China

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  2. Burghard Rieger

    1. Inst.Computerlinguistik, Abt. Linguistische Datenverarbeitung, Universität Trier, Trier, Germany

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  3. Mahyar A. Amouzegar

    1. Dept. Chemical Engineering, California State University, Long Beach, USA

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  • Offers the state of the art of tremendous advances in machine learning and systems engineering
  • Serves as an excellent reference text for researchers and graduate students, working on machine learning and systems engineering
  • Contains forty-six revised and extended research articles written by prominent researchers
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 68)

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Table of contents (46 chapters)

  1. Robust Tracking and Control of MIMO Processes with Input Saturation and Unknown Disturbance

    • Ajiboye Saheeb Osunleke, Mingcong Deng
    Pages 257-268

  2. Analysis of Priority Rule-Based Scheduling in Dual-Resource-Constrained Shop-Floor Scenarios

    • Bernd Scholz-Reiter, Jens Heger, Torsten Hildebrandt
    Pages 269-281

  3. A Hybrid Framework for Servo-Actuated Systems Fault Diagnosis

    • Seraphin C. Abou, Manali Kulkarni, Marian Stachowicz
    Pages 283-296

  4. Multigrid Finite Volume Method for FGF-2 Transport and Binding

    • Wensheng Shen, Kimberly Forsten-Williams, Michael Fannon, Changjiang Zhang, Jun Zhang
    Pages 297-310

  5. Integrated Mining Fuzzy Association Rules For Mineral Processing State Identification

    • Seraphin C. Abou, Thien-My Dao
    Pages 311-325

  6. A Combined Cycle Power Plant Simulator: A Powerful, Competitive, and Useful Tool for Operator’s Training

    • Eric Zabre, Edgardo J. Roldán-Villasana, Guillermo Romero-Jiménez
    Pages 327-339

  7. Texture Features Extraction in Mammograms Using Non-Shannon Entropies

    • Amar Partap Singh, Baljit Singh
    Pages 341-351

  8. A Wideband DOA Estimation Method Based on Arbitrary Group Delay

    • Xinggan Zhang, Yechao Bai, Wei Zhang
    Pages 353-358

  9. Spatial Speaker Spatial Positioning of Synthesized Speech in Java

    • Jaka Sodnik, Sašo Tomažič
    Pages 359-371

  10. Commercial Break Detection and Content Based Video Retrieval

    • N. Venkatesh, M. Girish Chandra
    Pages 373-383

  11. ClusterDAM: Clustering Mechanism for Delivery of Adaptive Multimedia Content in Two-Hop Wireless Networks

    • Hrishikesh VenkataramanVenkataraman, Gabriel-Miro Muntean
    Pages 385-396

  12. Ranking Intervals in Complex Stochastic Boolean Systems Using Intrinsic Ordering

    • Luis González
    Pages 397-410

  13. Predicting Memory Phases

    • Michael Zwick
    Pages 411-421

  14. Information Security Enhancement to Public–Key Cryptosystem Through Magic Squares

    • Gopinath Ganapathy, K. Mani
    Pages 423-437

  15. Resource Allocation for Grid Applications: An Economy Model

    • G. Murugesan, C. Chellappan
    Pages 439-449

  16. A Free and Didactic Implementation of the SEND Protocol for IPv6

    • Say Chiu, Eric Gamess
    Pages 451-463

  17. A Survey of Network Benchmark Tools

    • Karima Velásquez, Eric Gamess
    Pages 465-480

  18. Hybrid Stock Investment Strategy Decision Support System

    • Chee Yong Chai, Shakirah Mohd Taib
    Pages 481-493

  19. Towards Performance Analysis of Ad hoc Multimedia Network

    • Kamal Sharma, Hemant Sharma, A. K. Ramani
    Pages 495-506

  20. Towards the Performance Optimization of Public-key Algorithms Using Fuzzy Modular Arithematic and Addition Chain

    • Gopinath Ganapathy, K. Mani
    Pages 507-519
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Keywords

About this book

A large international conference on Advances in Machine Learning and Systems Engineering was held in UC Berkeley, California, USA, October 20-22, 2009, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2009). Machine Learning and Systems Engineering contains forty-six revised and extended research articles written by prominent researchers participating in the conference. Topics covered include Expert system, Intelligent decision making, Knowledge-based systems, Knowledge extraction, Data analysis tools, Computational biology, Optimization algorithms, Experiment designs, Complex system identification, Computational modeling, and industrial applications. Machine Learning and Systems Engineering offers the state of the art of tremendous advances in machine learning and systems engineering and also serves as an excellent reference text for researchers and graduate students, working on machine learning and systems engineering.

Editors and Affiliations

  • , Unit 1, 1/F, International Association of Engineers, Hong Kong, Hong Kong/PR China

    Sio-Iong Ao

  • Inst.Computerlinguistik, Abt. Linguistische Datenverarbeitung, Universität Trier, Trier, Germany

    Burghard Rieger

  • Dept. Chemical Engineering, California State University, Long Beach, USA

    Mahyar A. Amouzegar

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