rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Intelligent algorithms
    sub title: theory and practice
  name:
    name part: Huang, Han
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Hao, Zhifeng
    role:
      role term: author.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: ne
    date issued: 2024
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: In this book, the latest achievements of the computation time analysis theory and practical applications of intelligent algorithms are set out. There are five chapters: (1) new method of intelligent algorithm computation time analysis; (2)Application of intelligent algorithms in computer vision; (3)Application of intelligent algorithms in logistics scheduling; (4)Application of intelligent algorithms in software testing; and (5) application of intelligent algorithm in multi-objective optimization. The content of each chapter is supported by papers published in top journals. The authors introduce the work of each part, which mainly includes a brief introduction (mainly for readers to understand) and academic discussion (rigorous theoretical and experimental support), in a vivid and interesting way through excellent pictures and literary compositions. To help readers learn and make progress together, each part of this book provides relevant literature, code, experimental data, and so on.- Integrates the theoretical analysis results of intelligent algorithms, which is convenient for the majority of researchers to deeply understand the theoretical analysis results of intelligent algorithms and further supplement and improve the theoretical research of intelligent algorithms- Opens up readers' understanding of the theoretical level of intelligent algorithms and spreads the inherent charm of intelligent algorithms- Integrates the diverse knowledge of society and provides a more comprehensive and scientific knowledge of intelligent algorithm theory.
  table of contents: Front Cover -- Intelligent Algorithms -- Copyright Page -- Contents -- About the authors -- Preface -- Introduction -- 1 Application of intelligent algorithms in the field of computer vision -- 1.1 Precise capture of translucent visual effects: sampling algorithm based on pixel-level multiobjective optimization -- 1.1.1 Overview of Research Progress -- 1.1.2 Scientific principles -- 1.1.2.1 Problem description -- 1.1.2.2 A multiobjective image matting algorithm based on pixel-level global sampling -- 1.1.2.2.1 Pixel-level discrete multiobjective sampling strategy
  table of contents: 1.1.2.2.2 Fast discrete multiobjective optimization algorithm -- 1.1.2.3 Experimental results and discussion -- 1.1.2.3.1 Performance verification experiment of the pixel-level multiobjective global sampling algorithm -- 1.1.2.3.2 Performance verification experiment of the pixel-level multiobjective global sampling-based matting algorithm -- 1.1.3 Summary -- 1.2 Strong collaboration of fuzzy logic and evolutionary computing -- 1.2.1 Overview of research progress -- 1.2.2 Scientific principles -- 1.2.2.1 Problem description
  table of contents: 1.2.2.2 Multiobjective collaborative optimization image matting algorithm based on fuzzy multicriteria evaluation and decom... -- 1.2.2.2.1 Fuzzy multicriteria pixel pair evaluation method -- 1.2.2.2.2 Multiobjective collaborative optimization algorithm based on decomposition -- 1.2.2.3 Experimental results and discussion -- 1.2.2.3.1 Multiobjective optimization algorithm selection experiment -- 1.2.2.3.2 Fuzzy multicriteria pixel pair evaluation accuracy experiment -- 1.2.2.3.3 Comparative experiment on optimization performance of multiobjective collaborative optimization algorithm based o...
  table of contents: 1.2.2.3.4 Multiobjective collaborative optimization method for image matting based on fuzzy multicriteria evaluation and de... -- 1.2.3 Summary -- 1.3 Another masterpiece when medicine meets artificial intelligence -- 1.3.1 Overview of research progress -- 1.3.2 Scientific principles -- 1.3.2.1 Blood vessel segmentation algorithm based on hierarchical matting model -- 1.3.2.1.1 Image segmentation -- 1.3.2.1.2 Extraction of vascular skeleton -- 1.3.2.1.3 Hierarchical matting model -- 1.3.2.1.4 Stratifying the unknown pixels -- 1.3.2.1.5 Correlation function -- 1.3.2.1.6 Hierarchical update
  table of contents: 1.3.2.2 Experimental analysis -- 1.3.3 Summary -- 1.4 "Deep learning+image matting enhancement" trial with great effectiveness: pedestrian classification in infrared images -- 1.4.1 Overview of research progress -- 1.4.2 Scientific principles -- 1.4.2.1 Pedestrian classification algorithm based on automatic image matting and enhancement for infrared images -- 1.4.2.2 Preprocessing algorithm for infrared pedestrian images based on automatic image matting -- 1.4.2.2.1 Automatic algorithm for generating pedestrian trimap in infrared images -- 1.4.2.2.2 Far-infrared pedestrian extraction
  note: Han Huang, Zhifeng Hao.
  note: Includes bibliographical references and index.
  subject:
    topic: Computer algorithms
  subject:
    topic: Artificial intelligence
  subject:
    topic: Algorithmes
  subject:
    topic: Intelligence artificielle
  subject:
    topic: algorithms
  subject:
    topic: artificial intelligence
  classification: QA76.9.A43 H83 2024
  classification: 005.13
  related item:
    identifier: (OCoLC)1396693614
  identifier: 9780443217593
  identifier: 0443217599
  identifier: 9780443217586
  identifier: 0443217580
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: OPELS
    record creation date: 240610
    record change date: 20260327175928.2
    record identifier: in00005773273
    language of cataloging:
      language term: eng