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020 _a9783031104640
024 7 _a10.1007/978-3-031-10464-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
245 1 0 _aIntelligent Computing
_bProceedings of the 2022 Computing Conference, Volume 2
_cedited by Kohei Arai
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XII, 927 páginas)
_b397 ilustraciones, 320 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aLecture Notes in Networks and Systems
_x2367-3389
_v507
505 0 _aAn 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.
520 _aThe 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.
700 1 _aArai, Kohei
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783031104633
776 0 8 _iPrinted edition:
_z9783031104657
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-10464-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aSpringer_Robotics_2022
999 _c394684
_d394684