03873nam a22005655i 4500 978-3-031-50300-9 DE-He213 20251030111431.0 cr nn 008mamaa 240219s2024 sz | s |||| 0|eng d 9783031503009 978-3-031-50300-9 10.1007/978-3-031-50300-9 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Engineering Applications of Artificial Intelligence [electronic resource] / edited by Aziza Chakir, Johanes Fernandes Andry, Arif Ullah, Rohit Bansal, Mohamed Ghazouani. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XI, 443 p. 112 illus., 99 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Synthesis Lectures on Engineering, Science, and Technology, 2690-0327 Artificial Intelligence: An Overview -- Application of Artificial Intelligence to Control a Nonlinear SIR Model -- Computer vision with Deep Learning for human activity recognition: Features representation -- Streamlining Student Support: Enhancing Administrative Assistance and Interaction through a Chatbot Solution -- Towards a system that predicts the category of educational and vocational guidance questions, utilizing Bidirectional Encoder Representations of Transformers (BERT). Making intelligent devices and systems is the science and engineering of artificial intelligence (AI). In order to solve many of the most difficult problems in computer science, this important multidisciplinary discipline plays a crucial role in the field of technology nowadays. The book also addresses the topic of machine learning because it is closely related to AI. By no means is the list of subjects below intended to be comprehensive. The main objective of this book is to provide researchers, scientists, business professionals, and academics insight into original theories and research findings on the use of human cognitive models in diverse real-world computing applications. Through this book, the authors built an interdisciplinary forum where researchers from many fields may share their work and explore how to engineer human brain processes, learning mechanisms, and decision-making processes. Computational intelligence. 64052 Artificial intelligence. 58441 Engineering Data processing. Computational Intelligence. 64052 Artificial Intelligence. 58441 Data Engineering. 66059 Chakir, Aziza. editor. (orcid)0000-0003-0339-7202 https://orcid.org/0000-0003-0339-7202 edt http://id.loc.gov/vocabulary/relators/edt 71250 Andry, Johanes Fernandes. editor. edt http://id.loc.gov/vocabulary/relators/edt 71251 Ullah, Arif. editor. edt http://id.loc.gov/vocabulary/relators/edt 71252 Bansal, Rohit. editor. edt http://id.loc.gov/vocabulary/relators/edt 71253 Ghazouani, Mohamed. editor. edt http://id.loc.gov/vocabulary/relators/edt 71254 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031502996 Printed edition: 9783031503016 Printed edition: 9783031503023 Synthesis Lectures on Engineering, Science, and Technology, 2690-0327 https://doi.org/10.1007/978-3-031-50300-9 ZDB-2-SXSC 57703 57703