04145nam a22006135i 4500 978-3-031-60935-0 DE-He213 20251030112858.0 cr nn 008mamaa 240819s2024 sz | s |||| 0|eng d 9783031609350 978-3-031-60935-0 10.1007/978-3-031-60935-0 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema The Future of Artificial Intelligence and Robotics [electronic resource] : Proceedings of 5th International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2023 - Progress in AI-Driven Business Decisions & Robotic Process Automation / edited by David Pastor-Escuredo, Imene Brigui, Nishtha Kesswani, Sushanta Bordoloi, Ashok Kumar Ray. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XI, 825 p. 364 illus., 279 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Networks and Systems, 2367-3389 ; 1001 This book includes the results from the 5th International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR), held in National Institute of Technology, Kurukshetra, on December 07–09, 2023, which brought together visionaries, researchers, and industry leaders at the forefront of technological innovation. In the rapidly evolving landscape of technology, deep learning, artificial intelligence, and robotics stand as a beacon of innovation and intellectual exchange. Among the myriad of groundbreaking contributions, a notable gem emerges—a forthcoming book that promises to encapsulate the essence of the 5th International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2023 proceedings. Titled " Progress in AI-Driven Business Decisions & Robotic Process Automation," this publication is poised to become a cornerstone for enthusiasts, researchers, and professionals seeking a comprehensive understanding of the latest advancements in deep learning, artificial intelligence, and robotics. Focused on the theme "Progress in AI-Driven Business Decisions & Robotic Process Automation," the conference showcased groundbreaking developments in the field, exploring the intersection of deep learning, artificial intelligence (AI), and robotics. . Computational intelligence. 64052 Machine learning. 55059 Artificial intelligence. 58441 Engineering Data processing. Robotics. 59148 Computational Intelligence. 64052 Machine Learning. 55059 Artificial Intelligence. 58441 Data Engineering. 66059 Robotics. 59148 Pastor-Escuredo, David. editor. (orcid)0000-0002-2662-8686 https://orcid.org/0000-0002-2662-8686 edt http://id.loc.gov/vocabulary/relators/edt 82497 Brigui, Imene. editor. edt http://id.loc.gov/vocabulary/relators/edt 82498 Kesswani, Nishtha. editor. edt http://id.loc.gov/vocabulary/relators/edt 76723 Bordoloi, Sushanta. editor. edt http://id.loc.gov/vocabulary/relators/edt 82499 Ray, Ashok Kumar. editor. edt http://id.loc.gov/vocabulary/relators/edt 82500 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031609343 Printed edition: 9783031609367 Lecture Notes in Networks and Systems, 2367-3389 ; 1001 https://doi.org/10.1007/978-3-031-60935-0 ZDB-2-INR ZDB-2-SXIT 62546 62546