Abstract: This paper investigates finite-time trajectory tracking control based on discrete-time sliding mode of underactuated surface vessels with compound disturbances comprising model parameter ...

Scientists at TU Wien have uncovered that quantum correlations can stabilize time crystals—structures that oscillate in time without an external driver. Contrary to previous assumptions, quantum ...

AI world models have many limitations, but Genie 3 offers improvements like real-time interaction and better memory. AI world models have many limitations, but Genie 3 offers improvements like ...

Abstract: This paper presents an area- and power-efficient Current-to-Digital Converter (CDC) system for bioelectric current sensor applications. To address the requirements of high resolution, ...

Researchers demonstrate a novel method for transforming continuous time crystals into discrete ones using subharmonic injection locking, offering new insights into symmetry breaking and control in ...

Continuous threat exposure management (CTEM) is a security approach that helps companies to continuously identify and manage threats in their IT environment. The framework shifts the focus from ...

Convert baptisms surged last year to the highest level seen in nearly three decades, propelling global membership in The Church of Jesus Christ of Latter-day Saints past 17.5 million. The Utah-based ...

A robust Python package for automated trend labelling in time series data with a strong financial flavour, implementing SOTA trend labelling algorithms (bibliography) with returns estimation and ...

If your organization is like many, annual penetration testing may be a regular part of your security protocols. After completing the yearly assessment, you receive and review your report and then ...

This paper proposes an analytic representation of sequence-space Jacobians in heterogeneous agent models with aggregate shocks in continuous time. Our approach is based on a pen-and-paper perturbation ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...