03868nam a22005535i 4500 978-3-031-73128-0 DE-He213 20251030113300.0 cr nn 008mamaa 241106s2024 sz | s |||| 0|eng d 9783031731280 978-3-031-73128-0 10.1007/978-3-031-73128-0 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Proceedings of the Future Technologies Conference (FTC) 2024, Volume 4 [electronic resource] / edited by Kohei Arai. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. X, 646 p. 247 illus., 222 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 ; 1157 Aerial Manipulator Control Based on Linear Algebra and Lyapunov Theories -- Aerial Manipulator Robot Trajectory Tracking for Rhythmic Entertainment Applications -- The Automated Guitarist: A Programmed-Based Musical Robot -- Challenges of Robotic Milli-G Operations for Asteroid Mining -- A Holistic Security Approach to Protect Cloud-Native Applications -- Exploring Latent Fingerprint Synthesis with Diffusion Probabilistic Models -- Overcoming the Fear of Missing Out on Data -- Strengthening Industrial IoT Security with Integrated PUF Token -- Graph-Powered Mining and Analysis of SELinux Security Policies -- The Comparison of Random Forest and XGBoost in Malicious Browser Extensions Detection in Google Chrome Based on the Feature Importance -- Performance Evaluation of Response Based Cryptography Versus Fuzzy Extractors Based on Error Correction Codes. 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 172 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: 9783031731273 Printed edition: 9783031731297 Lecture Notes in Networks and Systems, 2367-3389 ; 1157 https://doi.org/10.1007/978-3-031-73128-0 ZDB-2-INR ZDB-2-SXIT 64745 64745