Intelligent Algorithms in Software Engineering : Proceedings of the 9th Computer Science On-line Conference 2020, Volume 1 / edited by Radek Silhavy
Contributor(s): Silhavy, Radek, editor literario | SpringerLink
Material type:
E-bookSeries: (Advances in Intelligent Systems and Computing, 2194-5357; 1224); (Intelligent Technologies and Robotics (SpringerNature-42732)); (Intelligent Technologies and Robotics (R0) (SpringerNature-43728)).Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: First Edition 2020.Description: 1 recurso en línea (XV, 621 páginas) : 308 ilustraciones, 206 ilustraciones a color.ISBN: 9783030519650.Subject: Ingeniería -- Congresos y asambleas
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TA5 2020 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.20112028 |
A Prescriptive Analytical Logic Model Incorporates With Analytic Hierarchy Process for Software Application Error Analysis -- Software requirement in iterative SDLC model -- Simplified Framework of Natural Language Processing for Structure Management of Current-age Data -- Design and Software Implementation of Heuristic and Suboptimal Strategies for the Mancala/Kalah Game -- Sector-Selective Hybrid Scheme facilitating Hardware Supportability over Image Compression -- Performance Evaluation of Joint Rate-Distortion Model of Video Codec -- To Defeat DDoS Attacks in Cloud Computing Environ-ment using Software Defined Networking (SDN) -- Oriented Petri Nets As Means Of Describing A Human-Computer Interaction.
This book gathers the refereed proceedings of the Intelligent Algorithms in Software Engineering Section of the 9th Computer Science On-line Conference 2020 (CSOC 2020), held on-line in April 2020. Software engineering research and its applications to intelligent algorithms have now assumed an essential role in computer science research. In this book, modern research methods, together with applications of machine and statistical learning in software engineering research, are presented. .
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