Tensor analysis is a fundamental task for processing multi-dimensional data. This approach not only has ubiquitous applications in a range of different fields – including image processing, computer ...

Tensor analysis has emerged as a fundamental mathematical framework in elucidating complex interactions within quantum physics and elasticity. In quantum physics, tensors facilitate the description of ...

Sparse tensor operations are increasingly important in diverse applications such as social networks, deep learning, diagnosis, crime, and review analysis. However, a major obstacle in sparse tensor ...

Abstract: To explore the online tensor analysis technique in single-aspect streaming model, a tensor based unified framework encompassed more tensor formats than one is proposed according to the ...

Abstract: Fault diagnosis of multivariate signals is a significant area of engineering research. Feature information is collected from multiple dimensions. This improves the accuracy and robustness of ...

Introduction: This study aimed to propose a novel prognostic prediction model for nasopharyngeal carcinoma incorporating tensor radiomic features, as generated using multiple parameter combinations (e ...