Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This paper explores the use ...

Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...

Abstract: With the advancement of the Internet of Things (IoT) and the rise of smart cities, achieving efficient and accurate indoor localization has become essential for indoor location-based ...

Abstract: The variable stiffness exoskeleton exhibits excellent performance in terms of high safety, compliance, task adaptability, and robustness during physical human-robot interaction (pHRI).