Reprint

Advanced Artificial Intelligence Models and Its Applications

Edited by
October 2023
182 pages
  • ISBN978-3-0365-9132-2 (Hardback)
  • ISBN978-3-0365-9133-9 (PDF)

This book is a reprint of the Special Issue Advanced Artificial Intelligence Models and Its Applications that was published in

Computer Science & Mathematics
Engineering
Physical Sciences
Public Health & Healthcare
Summary

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.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
target features; siamese trackers; lightweight network; target tracking; chaotic system; fruit fly optimization algorithm; quantum-inspired computation; parameter estimation; neural network; binary hash code; image retrieval; remote sensing; writer recognition; self-supervised learning; embeddings; dimension reduction; clustering; twin network; Big Five personality test; artificial intelligence; human resources; employee selection; teamwork; machine learning; automatic music generation; generative pre-training; embedding; representation learning; logistics management; artificial immune systems; vehicle routing problem; cross-docking; artificial intelligence; automotive; condition monitoring; machine learning; predictive maintenance; deep learning; class-imbalance learning; feature clustering; long-tailed classification; classwise splitting; SQL injection attacks; recurrent neural network (RNN) autoencoder; ANN; CNN; decision tree; naive Bayes; SVM; random forest; logistic regression