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System Design in Software Engineering: Proceedings of 8th Computational Methods in Systems and Software 2024, Volume 4 [Pehme köide]

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  • Formaat: Paperback / softback, 573 pages, kõrgus x laius: 235x155 mm, 116 Illustrations, color; 100 Illustrations, black and white; XIII, 573 p. 216 illus., 116 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Networks and Systems 1471
  • Ilmumisaeg: 29-Sep-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 303194769X
  • ISBN-13: 9783031947698
Teised raamatud teemal:
  • Pehme köide
  • Hind: 187,67 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 220,79 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
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  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Paperback / softback, 573 pages, kõrgus x laius: 235x155 mm, 116 Illustrations, color; 100 Illustrations, black and white; XIII, 573 p. 216 illus., 116 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Networks and Systems 1471
  • Ilmumisaeg: 29-Sep-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 303194769X
  • ISBN-13: 9783031947698
Teised raamatud teemal:
This book offers a broad range of ideas from CoMeSySo 2024, highlighting theory and practice in modern computing. Researchers from diverse backgrounds present their latest findings on systems design, software engineering, and innovative problem-solving.



Topics include new methods to improve modeling, testing, and optimization across various fields. The book also shows how data-driven approaches and well-structured architectures can increase reliability. These proceedings foster meaningful teamwork and shared learning by bringing together experts from many areas. Readers will gain insights into advanced techniques that can be adapted to real-world situations. Industry specialists, academic researchers, and students will benefit from the breadth of approaches. Case studies reveal common hurdles and present workable solutions for upcoming challenges.



With a clear focus on advancement, this resource is an essential guide to the next steps in computational development.
Regional Life Cycle Models.- Logical structure of cyber-physical system
for improving safety in public life Safety.- Mobile Healthcare Benefits and
Threats Posed by Mobile Health Technologies in Sub-Saharan Africa.-
Application of Machine Learning Algorithms for Predicting Speeding Violations
on Peruvian Highways.- A Comparative Study.- Application of Random Forest
Classification Method to Predict Student Compatibility in Choosing Preferred
Majors.- Building an ontology for supporting relationship management with
future employers of students in higher education institutions.