Department of Electrical and Computer Engineering

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  • 2020

    Deep-learning-based approach for outdoor electrical insulator inspection

    Pernebayeva, D. & James Pappachen, A., Jan 1 2020, Modeling and Optimization in Science and Technologies. Springer Verlag, p. 81-88 8 p. (Modeling and Optimization in Science and Technologies; vol. 14).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    2 Citations (Scopus)

  • Deep learning theory simplified

    Bakambekova, A. & James Pappachen, A., Jan 1 2020, Modeling and Optimization in Science and Technologies. Springer Verlag, p. 41-55 15 p. (Modeling and Optimization in Science and Technologies; vol. 14).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    1 Citation (Scopus)

  • Memristive LSTM architectures

    Adam, K., Smagulova, K. & James Pappachen, A., 2020, Modeling and Optimization in Science and Technologies. Springer Verlag, p. 155-167 13 p. (Modeling and Optimization in Science and Technologies; vol. 14).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    1 Citation (Scopus)

  • Memristive threshold logic networks

    Dolzhikova, I., Kumar Maan, A. & James Pappachen, A., 2020, Modeling and Optimization in Science and Technologies. Springer Verlag, p. 117-130 14 p. (Modeling and Optimization in Science and Technologies; vol. 14).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Overview of long short-term memory neural networks

    Smagulova, K. & James Pappachen, A., Jan 1 2020, Modeling and Optimization in Science and Technologies. Springer Verlag, p. 139-153 15 p. (Modeling and Optimization in Science and Technologies; vol. 14).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    40 Citations (Scopus)
  • 2018

    Frequency response analysis

    Bagheri, M. & Phung, T., Jan 1 2018, Power Transformer Condition Monitoring and Diagnosis. Institution of Engineering and Technology, p. 143-210 68 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Machining of Microshapes and Features

    Perveen, A. & Molardi, C., 2018, Engineering Materials. Springer Science and Business Media B.V., p. 1-19 19 p. (Engineering Materials).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    1 Citation (Scopus)
  • 2017

    Machining of Glass Materials: An Overview

    Perveen, A. & Molardi, C., Apr 30 2017, Advanced Manufacturing Technologies: Modern Machining, Advanced Joining, Sustainable Manufacturing. Gupta, K. (ed.). Cham: Springer International Publishing AG, p. 23-47 25 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2014

    Autonomous tracking of vehicle taillights and alert signal detection by embedded smart cameras

    Almagambetov, A. & Velipasalar, S., 2014, Distributed Embedded Smart Cameras: Architectures, Design and Applications. Bobda, C. & Velipasalar, S. (eds.). 1 ed. New York, New York: Springer Verlag, p. 121-150 29 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    1 Citation (Scopus)
  • 2013

    MACHINE INTELLIGENCE USING HEIERARCHICAL MEMORY NETWORKS

    James, AP., 2013, Handbook of Research on Computational Intelligence for Engineering, Science, and Business. IGI Global Publishing, p. 62-74 13 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • 2008

    An efficient image retrieval system using ordered weighted aggregation

    Arslan, S. & Yazici, A., 2008, Granular Computing: At the Junction of Rough Sets and Fuzzy Sets. Bello, R., Falcon, R., Pedrycz, W. & Kacprzyk, J. (eds.). p. 43-54 12 p. (Studies in Fuzziness and Soft Computing; vol. 224).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    2 Citations (Scopus)
  • 2004

    Using fuzzy petri nets for static analysis of rule-bases

    Bostan-Korpeoglu, B. & Yazici, A., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Aykanat, C., Dayar, T. & Korpeoglu, I. (eds.). Springer Verlag, p. 72-81 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3280).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    13 Citations (Scopus)