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  1. Dimensional reduction technique for the prediction of global and local responses of unidirectional composite with matrix nonlinearity and varying fiber packing geometry

    The problem associated with the computational homogenization of composite materials often results in expensive computational cost that prevents...

    A. Jamnongpipatkul, F. Naets, F. A. Gilabert in Engineering with Computers
    Article 13 July 2024
  2. A method for recognizing facial expression intensity based on facial muscle variations

    Expression intensity recognition is a research problem in the field of computer vision and pattern recognition, which can be understood as the...

    Yukun Zhang, Zixiang Fei, ... Minrui Fei in Multimedia Tools and Applications
    Article 13 July 2024
  3. Cyber intrusion detection using dual interactive Wasserstein generative adversarial network with war strategy optimization in wireless sensor networks

    Wireless sensor network (WSN) is one of the essential components of a multi-hop cyber-physical system comprising many fixed or moving sensors. There...

    N. Anusha, B R Tapas Bapu, ... Raji P in Multimedia Tools and Applications
    Article 13 July 2024
  4. Dual strategy for single image denoising and generation using deep neural network

    Removing noise in the real-world scenario has been a daunting task in the field of natural language processing. Research has shown that Deep Neural...

    Ranjith J, Vergin Raja Sarobin, Renta Chintala Bhargavi in Multimedia Tools and Applications
    Article 13 July 2024
  5. Distributed neuro-fuzzy routing for energy-efficient IoT smart city applications in WSN

    Wireless sensor networks (WSNs) enable seamless data gathering and communication, facilitating efficient and real-time decision-making in IoT...

    S. Jeevanantham, C. Venkatesan, B. Rebekka in Telecommunication Systems
    Article 13 July 2024
  6. Optimization of Image Compression Method Based on Fuzzy Relational Equations by Overlap Level of Fuzzy Sets

    A design method of coders on YUV color space is proposed based on an overlap level of fuzzy sets, in order to optimize the image...
    Hajime Nobuhara, Eduardo Masato Iyoda, ... Witold Pedrycz in Computational Intelligence for Modelling and Prediction
    Chapter
  7. Multi-layer Image Transmission with Inverse Pyramidal Decomposition

    This paper presents a new image compression method based on the Inverse Difference Pyramid (IDP) decomposition, and one specific application of this...
    Roumen Kountchev, Mariofanna Milanova, ... Roumiana Kountcheva in Computational Intelligence for Modelling and Prediction
    Chapter
  8. A Fuzzy Rule-Based Trading Agent: Analysis and Knowledge Extraction

    In this paper, we show how a fuzzy rule-based system is developed for trading in a futures market. By our fuzzy rule-based system, an agent...
    Tomoharu Nakashima, Takanobu Ariyama, ... Hisao Ishibuchi in Computational Intelligence for Modelling and Prediction
    Chapter
  9. Non-Iterative ICA for Detecting Motion in Image Sequences

    The ICA (Independent Component Analysis) technique can be used to detect difference in a sequence of images. However, most implementations of this...
    Chapter
  10. Fuzzy Congestion Control In Packet Networks

    In this paper an adaptive fuzzy congestion control solution for active queue management in packet switched networks which use TCP to solve end-to-end...
    Chapter
  11. Mining Technical Patterns in The U. S. Stock Market through Soft Computing

    Technical analysis has been a part of financial practice for many decades. One of the most challenging areas in technical analysis is the automatic...
    Chapter
  12. Multiple Feature Relevance Feedback in Content- Based Image Retrieval using Probabilistic Inference Networks

    The BIR content based image retrieval system uses a Bayesian belief network architecture to match query by example images to images in a database....
    Campbell Wilson, Bala Srinivasan in Computational Intelligence for Modelling and Prediction
    Chapter
  13. Measuring User Satisfaction in Web Searching

    Search engines are among the most popular as well as useful services on the web. But the problem we face is due to the large number of search engines...
    Chapter
  14. Distances Between Intuitionistic Fuzzy Sets and their Applications in Reasoning

    In this article we propose the use of intuitionistic fuzzy sets (Atanassov [2]) as a tool for reasoning under imperfect facts and imprecise...
    Eulalia Szmidt, Janusz Kacprzyk in Computational Intelligence for Modelling and Prediction
    Chapter
  15. On The Generalization of Fuzzy Rough Approximation Based on Asymmetric Relation

    An asymmetric relation, called a weak similarity relation, is introduced as a more realistic relation in representing the relationship between two...
    Chapter
  16. A Fuzzy Method for Learning Simple Boolean Formulas from Examples

    We discuss a method for inferring Boolean functions from examples. The method is inherently fuzzy in two respects: i) we work with a pair of formulas...
    Bruno Apolloni, Andrea Brega, ... Anna Maria Zanaboni in Computational Intelligence for Modelling and Prediction
    Chapter
  17. Connectionist Fuzzy Relational Systems

    There have been an enormous number of fuzzy systems developed so far. For excellent surveys the reader is referred to [1][3][5][7][9][10][18][19]....
    RafaƂ Scherer, Leszek Rutkowski in Computational Intelligence for Modelling and Prediction
    Chapter
  18. Fuzzy Logic Control in Hybrid Power Systems

    In this chapter the dynamic analysis of a hybrid power system, employing diesel and locally available wind and solar energies, is discussed and...
    Josiah Munda, Sadao Asato, Hayao Miyagi in Computational Intelligence for Modelling and Prediction
    Chapter
  19. Data Mining and User Profiling for an E-Commerce System

    Many companies are now develo** an online internet presence to sell or promote their products and services. The data generated by e-commerce sites...
    Ken McGarry, Andrew Martin, Dale Addison in Classification and Clustering for Knowledge Discovery
    Chapter
  20. Ontology-based Fuzzy Decision Agent and Its Application to Meeting Scheduling Support System

    A Fuzzy Decision Agent (FDA) based on personal ontology for Meeting Scheduling Support System (MSSS) is proposed in this chapter. In this system,...
    Chang-Shing Lee, Hei-Chia Wang, Meng-Ju Chang in Classification and Clustering for Knowledge Discovery
    Chapter
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