We present efficient methods to interpolate data with a quantum computer that complement uploading techniques and post-processing. The algorithms are supported by the Quantum Fourier Transform (QFT) classical signal imaging processing techniques, open door of advantage relevant families data. showcase QFT interpolation method, Cosine (QCT) geared towards natural data, we improve upon them utili...

I T IS a well-recognized fact that the theory of fuzzy sets and systems, for the last four decades after the seminal paper by Professor Zadeh [1], has demonstrated its remarkable ability to go beyond conventional information representation. It resulted in a wide range of new formulations of practical problems, such as fuzzy control, fuzzy clustering and classification , fuzzy modeling, and fuzz...

Pulmonary lobe segmentation is an important prerequisite for accurately quantifying pulmonary damage in many diseases and planning treatment. However, due to the incomplete lobar structures morphological changes caused by diseases, still encounters great challenges. In this study, a Learnable Interpolation Extrapolation Network (LIE-Net) proposed form complete consecutive fissure surfaces learn...

Abstract Approximate reasoning systems facilitate fuzzy inference through activating if–then rules in which attribute values are imprecisely described. Fuzzy rule interpolation (FRI) supports such with sparse bases where certain observations may not match any existing rules, manipulation of that bear similarity an unmatched observation. This differs from classical rule-based requires direct pat...

we consider   bivariate  mean-value interpolationproblem, where the integrals over circles are interpolation data. in this case the problem  is described  over   circles of the same radius and with  centers are on astraight line and it is shown that in this case the interpolation is not correct.