We compared the goodness of fit and efficiency of models for germination. Generalized Linear Models (GLMs) were performed with a randomized component corresponding to the percentage of germination for ...

Abstract: Accurately estimating the parameters of a gray-box linear time-invariant state-space representation is still a challenging problem especially if the number of unknowns exceeds ten. The ...

a notebook-first introduction to QSVT and QSP a reusable Python package for polynomial design, spectral transforms, and small PennyLane QSVT checks where the backend can synthesize the transform ...

LinearTransformation(clip clp, string "Input", string "Output", string "Interpolation", string "LUT_Path") string LUT_Path = path to the folder where the LUTs are ( e ...

Constructing out-of-equilibrium molecular assemblies that deviate from thermodynamic equilibrium is a central challenge in materials science. While numerous studies have reported the creation of such ...

Real digital transformation isn't about flashy tech, but about fixing foundational processes and aligning people to navigate organizational complexity. Approximately 70% of all digital transformation ...

Guidance is offered for understanding and using the Legendre transformation and its associated duality among functions and curves. The genesis of this paper was encounters with colleagues and students ...

Fractional differential equations can model various complex problems in physics and engineering, but there is no universal method to solve fractional models precisely. This paper offers a new hope for ...

We propose a direct domain adaptation (DDA) approach to enrich the training of supervised neural networks on synthetic data by features from real-world data. The process involves a series of linear ...

Abstract: Images captured in hazy or foggy weather conditions are seriously degraded by the scattering of atmospheric particles, which directly influences the performance of outdoor computer vision ...