UID:
almahu_9949335378002882
Umfang:
XII, 927 p. 397 illus., 320 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2022.
ISBN:
9783031104640
Serie:
Lecture Notes in Networks and Systems, 507
Inhalt:
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.
Anmerkung:
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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031104633
Weitere Ausg.:
Printed edition: ISBN 9783031104657
Sprache:
Englisch
DOI:
10.1007/978-3-031-10464-0
URL:
https://doi.org/10.1007/978-3-031-10464-0
URL:
Volltext
(URL des Erstveröffentlichers)
