03900nam a22005535i 4500 978-3-031-73110-5 DE-He213 20251030113258.0 cr nn 008mamaa 241105s2024 sz | s |||| 0|eng d 9783031731105 978-3-031-73110-5 10.1007/978-3-031-73110-5 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Proceedings of the Future Technologies Conference (FTC) 2024, Volume 1 [electronic resource] / edited by Kohei Arai. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. X, 640 p. 250 illus., 210 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 ; 1154 A Conditioned Unsupervised Regression Framework Attuned to the Dynamic Nature of Data Streams -- Cloud Versus Local: Performance Evaluation of Multi-Node Hadoop Clusters Using HiBench Benchmarks -- The Serial Data Processing Unit: High Performance with Parallelism in Network Processing -- Leveraging Artificial Intelligence Models Using Synthetic Data -- Tausi: A Holistic Artificial Intelligence Approach to Credit Scoring Using Informal Data for a Sustainable Micro-Lending African Economy -- Quickest Detection of Failures in Autoregressive Stochastic Systems in Short Periods -- Towards the Design of Explanation-aware Decision Support Systems -- AI to Detect Firms’ Competitive Performance: An Application of Auto Contractive Map to the Hospitality Industry -- Sustainable Practices in AI and Big Data -- A Multi-Layered Approach to Evaluating Speech Translation Performance of Meetings. This book covers proceedings of the Future Technologies Conference (FTC) 2024 which showcase a collection of thoroughly researched studies presented at the ninth Future Technologies Conference, held in London, the UK. This premier annual event highlights groundbreaking research in artificial intelligence, computer vision, data science, computing, ambient intelligence, and related fields. With 476 submissions, FTC 2024 gathers visionary minds to explore innovative solutions to today's most pressing challenges. The 173 selected papers represent cutting-edge advancements that foster vital conversations and future collaborations in the realm of information technologies. The authors extend their deepest gratitude to all contributors, reviewers, and participants for making FTC 2024 an unparalleled success. The authors hope this volume inspires and informs its readers, encouraging continued exploration and innovation in future technologies. Computational intelligence. 64052 Control engineering. Robotics. 59148 Automation. 59149 Artificial intelligence. 58441 Computational Intelligence. 64052 Control, Robotics, Automation. Artificial Intelligence. 58441 Arai, Kohei. editor. edt http://id.loc.gov/vocabulary/relators/edt 69377 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031731099 Printed edition: 9783031731112 Lecture Notes in Networks and Systems, 2367-3389 ; 1154 https://doi.org/10.1007/978-3-031-73110-5 ZDB-2-INR ZDB-2-SXIT 64718 64718