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: Machine Learning and Metaheuristics: Methods and Analysis
  name:
    name part: Dulhare, Uma N.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Houssein, Essam Halim.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: si
    date issued: 2023
    edition: 1st ed. 2023.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XIII, 295 pages 128 illustrations, 80 illustrations in color.)
  abstract: This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm. .
  table of contents: Biomedical imaging segmentation and classification framework based on soft computing techniques -- On the use of the interactive autodidactic school optimization algorithm for solving real-world engineering optimization problems -- Renewable energy optimization solutions using meta-heuristics methods -- Accelerating the arithmetic optimization algorithm by cuckoo search algorithm for solving global optimization problems -- Metaheuristic algorithms for the classification and prediction of skin lesions: a comprehensive review -- Bayesian consideration for labourer's job performance at home in the COVID-19 pandemic -- Fuzzy logic controller based off-grid solar water pumping system -- An efficient framework for enhancing the performance of biomedical data analysis -- Renewable energy optimization system using fuzzy logic -- An overview of optimization methods in renewable energy technologies -- Use of artificial intelligence and GIS technologies in healthcare services -- ANN and evolution algorithms in ML -- Machine learning and deep learning: essentials and approaches -- Predicting RNA mutations mechanism based on deep neural network -- Comparative analysis for prediction of diseases with feature extraction using machine learning classifiers -- Word sense disambiguation for Hindi language using LSTM neural network technique -- Automatic prediction of non-alcoholic liver disease using deep learning models -- Recent advances for enabling effective human interaction with cognitive robots.
  note: edited by Uma N. Dulhare, Essam Halim Houssein.
  subject:
    topic: Computational intelligence
  subject:
    topic: Machine learning
  subject:
    topic: Mathematical optimization
  subject:
    topic: Computational Intelligence
  subject:
    topic: Machine Learning
  subject:
    topic: Optimization
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Algorithms for Intelligent Systems
  identifier: 9789819966455
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 231101
    record change date: 20240810175720.3
    record identifier: in00004819938