Full Description
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.
Contents
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.
