Practical Issues of Intelligent Innovations

1. Front Matter

   Pages i-xii

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2. Non-conventional Control Design by Sigmoid Generated Fixed Point Transformation Using Fuzzy Approximation

   • Adrienn Dineva, József K. Tar, Annamária Várkonyi-Kóczy, János T. Tóth, Vincenzo Piuri

   Pages 1-15

3. From von Neumann Architecture and Atanasoff’s ABC to Neuromorphic Computation and Kasabov’s NeuCube. Part II: Applications

   • Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Akshay Raj Gollahalli, Kaushalya Kumarasinghe, Vivienne Breen, Neelava Sengupta et al.

   Pages 17-36

4. Data-Driven Interval Type-2 Fuzzy Modelling for the Classification of Imbalanced Data

   • Adrian Rubio-Solis, Ali Baraka, George Panoutsos, Steve Thornton

   Pages 37-51

5. Network Flows and Risks

   • Vassil Sgurev, Stanislav Drangajov

   Pages 53-88

6. Decreasing Influence of the Error Due to Acquired Inhomogeneity of Sensors by the Means of Artificial Intelligence

   • Vladimir Jotsov, Orest Kochan, Su Jun

   Pages 89-130

7. Personal Assistants in a Virtual Education Space

   • Jordan Todorov, Vladimir Valkanov, Stanimir Stoyanov, Borislav Daskalov, Ivan Popchev, Daniela Orozova

   Pages 131-153

8. Practical Guidelines for Design of Human-in-the-Loop Systems: Lessons Learned

   • Vasily Moshnyaga

   Pages 155-179

9. NEO-Fuzzy Neural Networks for Knowledge Based Modeling and Control of Complex Dynamical Systems

   • Yancho Todorov, Margarita Terziyska

   Pages 181-214

10. Sign-Based Representation and World Model of Actor

    • Gennady Osipov

    Pages 215-230

11. Responsive Production in Manufacturing: A Modular Architecture

    • Maria Marques, Carlos Agostinho, Gregory Zacharewicz, Raul Poler, Ricardo Jardim-Goncalves

    Pages 231-254

12. Multisensor Data Association by Using the Polar Hough Transform

    • Ivan Garvanov

    Pages 255-276

13. Scientific Research Funding Criteria: An Empirical Study of Peer Review and Scientometrics

    • D. Devyatkin, R. Suvorov, I. Tikhomirov, O. Grigoriev

    Pages 277-292

14. Comparing Robots with Different Levels of Autonomy in Educational Setting

    • Mirjam de Haas, Alexander Mois Aroyo, Pim Haselager, Iris Smeekens, Emilia Barakova

    Pages 293-311

15. Clustering Non-Gaussian Data Using Mixture Estimation with Uniform Components

    • Ivan Nagy, Evgenia Suzdaleva

    Pages 313-330

This book presents recent advances in the field of intelligent systems. Composed of fourteen selected chapters, it covers a wide range of research that varies from applications in industrial data science to those in applied science. Today the word INNOVATION is more and more connected with the words INTELLIGENT and SECURITY, as such the book discusses the theory and applications of hot topics such as big data, education applications of robots with different levels of autonomy, knowledge-based modeling and control of complex dynamical systems, sign-based synthesis of behavior, security issues with intelligent systems, innovative intelligent control design, neuromorphic computation, data-driven classification, intelligent modeling and measurement innovations, multisensor data association, personal education assistants, a modern production architecture, study of peer review and scientometrics, intelligent research on bug report data, and clustering non-Gaussian data. The broad and variedresearch discussed represents the mainstream of contemporary intelligent innovations that are slowly but surely changing the world.

• Intelligent Systems
• Intelligent Innovations
• Industrial Data Science
• Fuzzy Systems
• Data Science

• Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

  Vassil Sgurev

• University of Library Studies and Information Technologies, Sofia, Bulgaria

  Vladimir Jotsov

• Department of Computer Science, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

  Janusz Kacprzyk

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