An Adaptive Geometry and Dual Graph Approach to Sign Prediction for Weighted and Signed Networks -- A Stochastic Modified Limited Memory BFGS for Training Deep Neural Networks -- Enhanced Deep Learning Framework for Fine-Grained Segmentation of Fashion and Apparel -- Linear Block and Convolutional MDS Codes to Required Rate, Distance and Type -- Run-Time Dependency Graph Models for Independently Developed Robotic Software Components -- A Raspberry Pi Computer Vision System for Self-Driving Cars.

The book, "Intelligent Computing - Proceedings of the 2022 Computing Conference", is a comprehensive collection of chapters focusing on the core areas of computing and their further applications in the real world. Each chapter is a paper presented at the Computing Conference 2022 held on July 14-15, 2022. Computing 2022 attracted a total of 498 submissions which underwent a double-blind peer-review process. Of those 498 submissions, 179 submissions have been selected to be included in this book. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this book interesting and valuable as it provides the state-of-the-art intelligent methods and techniques for solving real-world problems. We also expect that the conference and its publications will be a trigger for further related research and technology improvements in this important subject.