Low-rank tensor completion has become a fundamental tool for recovering high-dimensional data from incomplete observations. However, conventional methods rely primarily on algebraic low-rank priors ...

Abstract: For any linear and time-invariant system, its output is the linear convolution between the variable input sequence and the constant system impulse response. When the input is long and the ...

BANGKOK — January 21, 2026 — Indorama Ventures, a global sustainable chemical company, takes an important next step toward making textiles more circular for homes and public spaces. To support fabric ...

Robustness, defined as a system's ability to maintain functional reliability in the face of perturbations, is achieved through its capacity to filter external disturbances using internal priors ...

Abstract: Convolution is fundamental in digital signal processing across many applications. Existing works enable N-point linear convolution via N-point right-angle circular convolution (RCC) based on ...

Visual Attention Networks (VANs) leveraging Large Kernel Attention (LKA) have demonstrated remarkable performance in diverse computer vision tasks, often outperforming Vision Transformers (ViTs) in ...

Expert DIYer April Wilkerson shares tips for making straight, accurate cuts with a circular saw. Tucker Carlson urges "civil disobedience" if Trump DOJ targets hate speech Trump Suffers Major Legal ...

MOL Group has successfully completed its first circular feedstock test at its petrochemicals site in Tiszaújváros, Hungary. With this move, the company aims to convert circular feedstock, namely ...

cortex_m::quantized_add.out — Element-wise addition using ARM CMSIS-NN function arm_elementwise_add_s8() cortex_m::quantized_mul.out — Element-wise multiplication ...

I'm currently studying the details of CVNN implementations, referencing literature such as the comprehensive survey "Complex-Valued Neural Networks: A Comprehensive Survey" by Lee et al. (2022). Based ...