Proceedings of the Future Technologies Conference (FTC) 2024, Volume 4

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.

Presents recent advances in the areas of AI, robotics, computing, electronics, security, and communications Covers the proceedings of Future Technologies Conference 2024 (FTC 2024) Written by experts in the field

Contenu

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.