• Medientyp: E-Book
  • Titel: Deep learning for cognitive computing systems : technological advancements and applications
  • Enthält: Frontmatter
    Contents
    List of Authors
    The Learning of Deep Learning: Overview, Methods, and Applications
    Foundation of Cognitive Computing
    Applications and Implications of Artificial Intelligence and Deep Learning in Computer Vision
    A Study of Voice Recognition System Using Deep Learning Techniques
    Building Machine Learning–Based Prediction System for Critical Diseases
    An Overview of Internet of Things and Machine Learning for Smart Healthcare
    Nutrition Food Recognition Using Deep Learning Algorithm for Physically Challenged Human Being
    Healthcare Data Analysis Using Deep Learning Paradigm
    Cognitive Authentication for Smart Healthcare System
    Cognitive-Inspired Computer Vision Assist System for Diabetic Retinopathy Detection from Fundus Images
    A Novel Deep Belief Neural Network Model for Abstractive Text Summarization
    Index
  • Beteiligte: Sumithra, M.G. [Herausgeber:in]; Dhanaraj, Rajesh Kumar [Herausgeber:in]; Manoharan, Anto Merline [Herausgeber:in]; Iwendi, Celestine [Herausgeber:in]
  • Erschienen: Berlin; Boston: De Gruyter, [2023]
  • Erschienen in: De Gruyter series on smart computing applications ; Volume 7
  • Umfang: 1 Online-Ressource (IX, 199 Seiten)
  • Sprache: Englisch
  • DOI: 10.1515/9783110750584
  • ISBN: 9783110750584; 9783110750614
  • Identifikator:
  • RVK-Notation: ST 301 : Soft computing, Neuronale Netze, Fuzzy-Systeme
  • Schlagwörter: Maschinelles Lernen > Big Data > Deep learning > Künstliche Intelligenz
  • Reproduktionsnotiz: Issued also in print
  • Entstehung:
  • Anmerkungen: In English
  • Beschreibung: Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improves the performance of Cognitive computing systems in many applications, helping in utilizing heterogeneous data sets and generating meaningful insights.
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