03557nam a22005175i 4500 978-3-031-54813-0 DE-He213 20251030111448.0 cr nn 008mamaa 240227s2024 sz | s |||| 0|eng d 9783031548130 978-3-031-54813-0 10.1007/978-3-031-54813-0 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Software Engineering Methods in Systems and Network Systems [electronic resource] : Proceedings of 7th Computational Methods in Systems and Software 2023, Vol. 2 / edited by Radek Silhavy, Petr Silhavy. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XV, 506 p. 242 illus., 174 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Networks and Systems, 2367-3389 ; 934 An Artificial Intelligence-based Concept and Survey for Personalized Learning in schools in the Republic of Bulgaria -- 0/1 1-D bin packing problem solved by a recent nature-inspired optimizer -- Orca predator algorithm for feature selection -- Skeleton Detection Using MediaPipe as a Tool for Musculoskeletal Disorders Analysis -- Pipeline leakage detection via Extreme Seeking Entropy -- Secure Data Transmission Scheme in Wireless Sensor Network Resisting Unknown Lethal Threats -- Deep Reinforcement Learning-Based Task Offloading in Multi-access Edge Computing for Marine IoT -- Information and Communication Skills for Higher Learners Competence Model -- Smart solution for public lighting in the municipality -- A Review Paper On Biometric Authentication And Geospatial Data – Case of Zambia. This book presents cutting-edge research and methodologies in software engineering, specifically focusing on systems and network systems. It showcases novel development approaches and network system optimizations, highlighting the field's dynamic evolution. The book is designed for experts, scholars, and professionals, offering insights and tools crucial for advancing the software engineering landscape. Its diverse content makes it an invaluable resource for seasoned professionals and those new to the field, inspiring and enriching readers' understanding of software engineering's future directions. Computational intelligence. 64052 Software engineering. 33953 Computational Intelligence. 64052 Software Engineering. 33953 Silhavy, Radek. editor. (orcid)0000-0002-5637-8796 https://orcid.org/0000-0002-5637-8796 edt http://id.loc.gov/vocabulary/relators/edt 71182 Silhavy, Petr. editor. edt http://id.loc.gov/vocabulary/relators/edt 71183 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031548123 Printed edition: 9783031548147 Lecture Notes in Networks and Systems, 2367-3389 ; 934 https://doi.org/10.1007/978-3-031-54813-0 ZDB-2-INR ZDB-2-SXIT 57929 57929