Intelligent Computing

Proceedings of the 2022 Computing Conference, Volume 2
Herausgegeben:Arai, Kohei

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes in Networks and Systems 507
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-10463-3
• 1st ed. 2022
• Seitenzahl: 944
• Erscheinungstermin: 7. Juli 2022
• Englisch
• Abmessung: 235mm x 155mm x 51mm
• Gewicht: 1399g
• ISBN-13: 9783031104633
• ISBN-10: 3031104633
• Artikelnr.: 64122694

Inhaltsangabe

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.