**Preface**

Artificial Intelligence (AI) has increasingly interweaved itself into our daily lives, revolutionizing industries and altering our interaction with technology. Within the vast AI landscape, advanced artificial intelligence models have emerged as formidable tools that push the boundaries of what once was conventionally considered achievable. Over time, AI has seen remarkable progress, driven by improvements in machine learning algorithms, deep neural networks, natural language processing, computer vision, and more. These advancements have set the stage for the creation of sophisticated AI models that display superior performance in intricate tasks, surpassing conventional methods.

This book presents ten articles accepted for publication in the Special Issue titled "Advanced Artificial Intelligence Models and Their Applications" of the MDPI Mathematics journal. The compilation of research papers explores the most recent developments in AI models and highlights their applications across diverse domains. The research topics encompass SQL injection attack detection, image classification, object tracking, vehicle routing and cross-docking, music generation, human capital investment, writer recognition, remote sensing image indexing, and optimization algorithms. These collective works underscore the varied applications of advanced AI models, demonstrating their potential to tackle complicated problems spanning different fields. The application of deep learning, self-supervised learning, optimization algorithms, and other AI methodologies has been instrumental in enhancing performance, efficiency, and decision making across various sectors.

The compilation is anticipated to be intriguing and valuable for those engaged in artificial intelligence, pattern recognition, machine learning, and computer vision, and those with an apt mathematical background who are keen to familiarize themselves with recent strides in artificial intelligence. As the Guest Editor of the Special Issue, I extend my gratitude to the authors for their quality contributions, the reviewers for their insightful comments that improved the submitted work, and the administrative staff of MDPI publications for their support in bringing this project to fruition. A special note of appreciation goes to Ms. Estelle Wang, the Managing Editor of the Special Issue, for her excellent cooperation and invaluable assistance.

> **Tao Zhou** *Editor*
