clustering compositioncomputational complexitycomputational proceduresdynamic reliability evaluationLz‐transform techniquemulti‐state system reliability evaluationSummary In this chapter, a framework is proposed, which provides accurate time-varying reliability indices for real-life large-scale engineering systems, ...
This hybrid graph model is dynamic, allowing for the integration of both semantic and affective dependencies. While this method significantly enhances performance in sentiment analysis, its computational complexity and reliance on domain-specific affective knowledge make it less adaptable to general relation...
wheresis the fixed stride that defines the number of pixel shifts of the kernel between subsequent MAC operations. This constraint has two benefits: (i) convolutional operations on all pixels in select rows can be carried out in parallel, reducing the computational complexity toO(c) (orO(fc) ...
Human trajectory completion with transformers. In International Conference on Communications 3346–3351 (IEEE, 2022). Guidotti, R. et al. A survey of methods for explaining black box models. ACM Comput. Surv. 51, 1–42 (2018). Google Scholar Naretto, F., Pellungrini, R., Monreale, A....
Preprocessing decreases the amount of noise in textual data by reducing the complexity of textual features (Grimmer and Stewart 2013), which is particularly important for dealing with multi-platform data, where the amount of noise is higher compared with monoplatform data. Some basic modes of prepr...
However, CFD numerical methods often face the challenges of long research cycles, high costs, and extensive human-computer interactions due to the growing complexity of computational tasks. To meet the burgeoning requirements of contemporary physical sciences, in recent years, the coupling of ...
Loss fusion, a technique that reduces training cost of tight LiRPA bounds (e.g. CROWN-IBP) to the same asymptotic complexity of IBP, making LiRPA based certified defense scalable to large datasets (e.g., TinyImageNet, downscaled ImageNet). (06/30/2020) ...
The acquisition of infrared and Raman spectra through the Fourier transformation of time autocorrelation functions of dipole moments and polarizabilities respectively alleviates the complexity and computational intensity of using electronic structure methods. Given the necessity to account for nuclear quantum ...
(DFT)1,2, provide satisfactory accuracy in most applications. However, their computational complexity typically scales as the cubic order of the system size, thus limiting large-scale simulations. In contrast, empirical force fields (EFF) are way more efficient, but their accuracy is often deemed...
Paper tables with annotated results for LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity