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.
表中的内容
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.购买此电子书可免费获赠一本!
语言 英语 ● 格式 PDF ● 网页 927 ● ISBN 9783031104640 ● 文件大小 105.1 MB ● 编辑 Kohei Arai ● 出版者 Springer International Publishing ● 市 Cham ● 国家 CH ● 发布时间 2022 ● 下载 24 个月 ● 货币 EUR ● ID 8454222 ● 复制保护 社会DRM