URL normalization is a process of transforming URL strings into canonical form. Through this process, duplicate URL representations for web pages can be reduced significantly. There are a number of normalization methods. In this paper, we describe four metrics for evaluating normalization methods. The reliability and consistency of a URL is also considered in our evaluation. With the metrics pr...

Normalization as a layer within neural networks has over the years demonstrated its effectiveness in network optimization across wide range of different tasks, with one most successful approaches being that batch normalization. The consensus is better estimates BatchNorm normalization statistics (μ and σ2) each mini-batch result optimization. In this work, we challenge belief experiment new var...

In this study, we investigated the effects of changes in formant structure of externally presented speech signals on participants’ auditory perception of their own speech output (i.e., feedback) during a word production task. The study involved a novel combination of two previously established research paradigms: (1) sensorimotor adaptation to altered auditory feedback during speech, and (2) ex...

In pulmonary arterial hypertension (PAH) structural and functional abnormalities of the small lung vessels interact and lead to a progressive increase in pulmonary vascular resistance and right heart failure. A current pathobiological concept characterizes PAH as a 'quasi-malignant' disease focusing on cancer-like alterations in endothelial cells (EC) and the importance of their acquired apopto...

This paper addresses questions of quasi-isometric rigidity and classification for fundamental groups of finite graphs of groups, under the assumption that the BassSerre tree of the graph of groups has finite depth. The main example of a finite depth graph of groups is one whose vertex and edge groups are coarse Poincare duality groups. The main theorem says that, under certain hypotheses, if G ...

the mel frequency cepstral coefficients are the most widely used feature in speech recognition but they are very sensitive to noise. in this paper to achieve a satisfactorily performance in automatic speech recognition (asr) applications we introduce a noise robust new set of mfcc vector estimated through following steps. first, spectral mean normalization is a pre-processing which applies to t...

Facing the worldwide coronavirus disease 2019 (COVID-19) pandemic, a new fitting method (QDF, quasi-distribution fitting) which can be used to analyze data of COVID-19 is developed based on piecewise quasi-uniform B-spline curves. For any given country or district, it simulates distribution histogram made from daily confirmed cases (or other including recovery and fatality cases) with After usi...

the aim of this critical appraisal and hazards of surface electromyography (semg) is to enhance the data acquisition quality in voluntary but complex movements, sport and exercise in particular. the methodological and technical registration strategies deal with telemetry and online data acquisition, the placement of the detection electrodes and the choice of the most adequate normalization mode...