Recent Trends and Applications of Soft Computing in Engineering (RTASCE)- Sarajevo

Recent Trends and Applications of Soft Computing in Engineering (RTASCE), a key resource showcasing research and development in engineering. Created at the inaugural RTASCE conference in Sarajevo, this edited volume brings together leading scholars and researchers to explore the transformative applications of soft computing in a variety of fields. With topics ranging from artificial intelligence and the Internet of Things (IoT) to machine learning, this book offers practical applications and insight into future trends, making it an invaluable addition to any academic library.
This book bridges the biological sciences and engineering through programming, encouraging interdisciplinary collaboration. Structured into five main sections - including artificial intelligence, IoT, communication systems, bioengineering and manufacturing management - RTASCE not only highlights real-world case studies and expert perspectives, but also provides practical guidance for practitioners looking to integrate soft computing techniques into their work .

List of contents

Artificial intelligence applications.- Internet of things.- Communication systems.- Bioengineering.- Manufacturing management.

Product details

• Assisted by: Ali Abd Almisreb (Editor), Ali Abd Almisreb (Editor), Benjamin Durakovic (Editor), Benjamin Duraković (Editor), Jasmin Sutkovic (Editor), Jasmin Šutković (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 30.03.2025
• EAN: 9783031828805
• ISBN: 978-3-0-3182880-5
• No. of pages: 314
• Dimensions: 155 mm x 15 mm x 235 mm
• Weight: 552 g
• Illustrations: IX, 314 p. 137 illus., 124 illus. in color.
• Series: Lecture Notes in Networks and Systems
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; machine learning, Optimization, Artificial Intelligence, Cloud Computing, Cybersecurity, Data Analytics, Internet of Things (IoT), Computational Intelligence, Computational biology, Statistical Methods, control systems, Sustainable computing