The reconstruction and analysis of sparse signals is a common and widely studied problem in signal processing, for example in wireless telecommunication or power system theory. Hereby, most recovery methods exploit structures ...

Using paper lab books and spreadsheets to store and manage growing datasets in a file system is inefficient, time consuming and error-prone. Therefore, the overall purpose of this study is to develop an integrated information ...

The long awaited Cloud computing concept is a reality now due to the transformation of computer generations. However, security challenges are most important obstacles for the advancement of this emerging technology. A ...

Multiple sequence alignment is an alignment of three or more protein or nucleic acid sequences. The alignment area has always been of much interest for researchers, this is due to that fact that many scientifi c ...

Scan statistics have a broad area of applications ranging from astrophysics over genetic screening to fluorescence microscopy. Here, we consider a calibrated scan statistic based on local likelihood ratio tests of homogeneity ...

Performance-critical software is rarely implemented in a generic manner. Structural changes usually affect large parts of a project and cause expensive development cycles. Principal reason ...

P. Kronheimer has identified certain space of solutions to Nahms equations with a coadjoint orbit of a nilpotent element in a complex, semi-simple Lie algebra and that way equipped the orbit with an hyperkähler structure ...

Bioinformatics applications in cancer research expanded rapidly over several years in the past. Due to the fast development of high throughput technologies, it became feasible to study the presence of hundreds of genes ...

The asymptotic expansion of the function $Z(t)=e^{i\vartheta(t)}\zeta{(1/2+it)}$ for real $t\to+\infty$ where $\vartheta(t)=\Im\log{\Gamma{(1/4+it/2)}}-(t\log{\pi})/2$ – today known as Riemann–Siegel formula – is derived ...

MRI is arguably the most versatile imaging modality for clinical use available today. In recent years, the development of advanced deep-learning-based reconstruction methods has significantly accelerated data acquisition ...