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OverviewThis book presents proceedings of the 14th Days of Bosnian-Herzegovinian American Academy of Arts and Sciences held in Tuzla, BIH, June 1–4, 2023. Delve into the intellectual tapestry that emerged from this event, as we unveil our highly anticipated Conference Proceedings Book. This groundbreaking publication captures the essence of seven captivating technical sessions spanning from Civil Engineering through Power Electronics all the way to Data Sciences and Artificial Intelligence, each exploring a distinct realm of innovation and discovery. Uniting diverse disciplines, this publication catalyzes interdisciplinary collaboration, forging connections that transcend traditional boundaries. Within these pages, readers find a compendium of knowledge, insights, and research findings from leading researchers in their respective fields. The editors would like to extend special gratitude to the chairs of all symposia for their dedicated work in the production of this volume. Full Product DetailsAuthor: Naida Ademović , Jasmin Kevrić , Zlatan AkšamijaPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2023 Volume: 644 Weight: 0.973kg ISBN: 9783031430558ISBN 10: 3031430557 Pages: 628 Publication Date: 01 September 2023 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsApplication of microsimulation models for traffic emission assessment.- Added Value in Implementation of Capital Projects by Monitoring, Evaluation and Learning (MEL).- Building Information Modeling education at Bosnian and Herzegovina Universities.- Use of UAV for object deformation detection.- Credit Card Fraud Payments Detection using Machine Learning Classifiers on Imbalanced Data set Optimized by Feature Selection.- Contribution to the diagnostics of the internal combustion engine timing mechanism chain.- Predictive maintenance of induction motor using IoT technology.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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