Other

Set5, Set11, and Set14 are classic small-scale benchmark datasets widely used for image super-resolution tasks. BSD100 and BSD500 feature complex natural scenes, commonly used for denoising and segmentation research. McM18 is a medical imaging dataset focused on medical image reconstruction. Urban100 emphasizes urban scenes, ideal for evaluating models on high-frequency details and structural textures. These datasets span diverse applications, serving as valuable benchmarks in computer vision research.

This dataset was generated using high-fidelity air combat simulations to develop and evaluate Weapon Engagement Zone (WEZ) prediction models. It contains data for various Beyond Visual Range (BVR) air combat scenarios, capturing diverse conditions and configurations between a shooter aircraft and a target. 

The dataset is split into factorial and random design datasets, with outputs representing critical WEZ parameters, including the maximum range (Rmax​) and the no-escape zone (Rnez​).

This paper presents a low-profile, dual-stopband active frequency selective surface (AFSS) with an ultra-wide band ratio (BR) to overcome the limited tuning range and suboptimal profile of current designs. The proposed design consists of a periodic pattern printed on the top of a thin substrate and a bias network on the bottom, with varactor diodes symmetrically mounted on the top metal layer. Based on the equivalent circuit model, the mechanism of wideband tuning is analyzed theoretically.

Numerical simulations are used to assess the efficiency of floor heating, ceiling heating, and plane radiator heating in a selected family house room under winter conditions in the Central European climate zone. COMSOL Multiphysics software was used for computer simulations. The output data were subsequently processed and analyzed using MATLAB software. Results indicate that floor and ceiling heating systems achieve higher and more rapid temperature increases compared to plane radiators.