Studies leveraging NIR and CNNs report accuracies exceeding 95%, with some achieving perfect classification for pure fibers.

STSNN first applies a two-dimensional Fourier transform (2D-FFT) to compute the spatiotemporal spectrum, then identifies a distinctive spatiotemporal center keypoint to enhance multitask learning ...

Abstract: This article presents the concept of adjustable inverse synthetic aperture radar (ISAR) image concentration using the Levenberg-Marquardt optimization algorithm and the windowed ...

one-dimensional Fourier transform is applied to each pixel of the image sequence, obtaining two new image sequences: amplitude and phase. Image sequences of amplitude and phase are symmetrical about ...

However, pioneering work in the 1970s predicted that two-dimensional (2D) systems could host a unique topological phase transition known as the BKT transition, where vortex-antivortex pairs drive ...

However, pioneering work in the 1970s predicted that two-dimensional (2D) systems could host a unique topological phase transition known as the Berezinskii-Kosterlitz-Thouless (BKT) transition ...

The operation of quantum technologies relies on the reliable realization and control of quantum states, particularly ...