Kategoria BISAC: Technology & Engineering >> Signals & Signal Processing

This book gathers the latest fundamental research contributions, innovations, and applications in the field of design and analysis of complex robotic mechanical systems, machines, and mechanisms, as presented by leading researchers at the combined IFToMM Symposium of RoManSy and USCToMM Symposium on Mechanical Systems and Robotics (MSR-RoManSy), held in St. Petersburg, FL, USA, on May 22–25, 2024. It covers highly diverse topics, including soft, wearable, and origami robotic systems; applications to walking, flying, climbing, underground, swimming, and space systems; human...

This book includes peer reviewed articles from the Fifth International Conference on Intelligent Systems and Networks (ICISN 2025), held at Hanoi in Vietnam. It presents latest research outcomes and results of cutting-edge work reported by the authors, which are very useful for the researchers and industry practitioners. The scope of the proceedings include, but not limited to Foundations of Computer Science; Computational Intelligence, Language and Speech Processing; Software Engineering and Software Development Methods; Wireless Communications, Signal Processing for Communications,...

The book covers timely topics in digital healthcare and personalized medical products. It delves into the use of digital technologies like image processing, CAD, AI, and 3D printing in healthcare, emphasizing their role in customizing treatment and manufacturing medical products. Based on peer-reviewed contributions to the 8th International International Scientific-Technical Conference (MANUFACTURING 2024) held on May 14-16, 2024, in Poznan, Poland, the chapters reports on achievements from interdisciplinary collaborations between engineers, doctors, and the medical industry. All in all,...

This book addresses the problem of accurate state estimation in nonlinear continuous-time stochastic models with additive noise and discrete measurements. Its main focus is on numerical aspects of computation of the expectation and covariance in Kalman-like filters rather than on statistical properties determining a model of the system state. Nevertheless, it provides the sound theoretical background and covers all contemporary state estimation techniques beginning at the celebrated Kalman filter, including its versions extended to nonlinear stochastic models, and till the most advanced...