Overview of the Special Issue on "Deep Neural Networks and Optimization Algorithms".

This document provides an overview of a special issue of the journal "Algorithms" focused on "Deep Neural Networks and Optimization Algorithms." The issue includes seven papers that address theoretical and practical issues in this area. The papers cover a range of topics, including preprocessing pregnancy examination data, sampling in neural network training, neural network boosting for logistic regression, generating artificial EEG data, enhancing QR code source printer identification, gas tracking in chemical industry parks, and developing a graph neural network-based surrogate model. The document concludes by noting the increasing use of AI in cybersecurity and the three main directions of research in this field. The authors of the document express their gratitude to the authors, referees, and the editorial office of Algorithms. [Extracted from the article]