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Advanced Artificial Intelligence Models and Its Applications

Advanced Artificial Intelligence Models and Its Applications

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The field of Artificial Intelligence (AI) has undergone enormous expansion since its inception in the mid-20th century, as demonstrated by its application across an array of engineering and scientific challenges. Particularly in the last decade, AI has witnessed a significant breakthrough with the advent of deep learning, which has facilitated the employment of various AI models across a multitude of domains. This reprint features ten papers accepted for publication in the Special Issue titled "Advanced Artificial Intelligence Models and Their Applications," published in the MDPI Mathematics journal. These papers explore numerous facets of advanced artificial intelligence models and their applications, covering areas such as cybersecurity, image classification, logistics optimization, automatic music generation, human capital investment, writer recognition, remote sensing image indexing, target tracking, and more. These diverse subjects highlight the extensive scope and capability of AI models in tackling intricate challenges across distinct fields, underlining the vast potential inherent in this cutting-edge technology.

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Keywords

  • ANN
  • artificial immune systems
  • artificial intelligence
  • automatic music generation
  • Automotive
  • Big Five personality test
  • binary hash code
  • chaotic system
  • class-imbalance learning
  • classwise splitting
  • Clustering
  • CNN
  • condition monitoring
  • cross-docking
  • decision tree
  • deep learning
  • dimension reduction
  • embedding
  • embeddings
  • Employee selection
  • feature clustering
  • fruit fly optimization algorithm
  • generative pre-training
  • human resources
  • image retrieval
  • lightweight network
  • logistic regression
  • logistics management
  • long-tailed classification
  • Machine learning
  • Mathematics & science
  • naïve Bayes
  • Neural Network
  • Parameter estimation
  • predictive maintenance
  • quantum-inspired computation
  • random forest
  • recurrent neural network (RNN) autoencoder
  • Reference, information & interdisciplinary subjects
  • Remote sensing
  • Representation Learning
  • Research & information: general
  • self-supervised learning
  • siamese trackers
  • SQL injection attacks
  • SVM
  • target features
  • target tracking
  • Teamwork
  • thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
  • thema EDItEUR::P Mathematics and Science
  • twin network
  • vehicle routing problem
  • writer recognition

Links

DOI: 10.3390/books978-3-0365-9133-9

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