Conventional temporal-based deep learning models often fail to extract inter- channel information from electromyographic (EMG) signals. Existing spatio-temporal approaches typically sequentially ...

Causing is a multivariate graphical analysis tool helping you to interpret the causal effects of a given equation system. Get a nice colored graph and immediately understand the causal effects between ...

Abstract. Building height and footprint are two fundamental urban morphological features required by urban climate modelling. Although some statistical methods have been proposed to estimate average ...

Responding to a question by the Law Commission of India if periodic elections lead to a policy paralysis owing to the frequent imposition of the Model Code of Conduct (MCC), the Election Commission ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Article Views are the COUNTER-compliant sum of full text article downloads since ...

The metabolism of biological cells is an intricate network of reactions that interconvert chemical compounds, gathering energy, and using that energy to grow. The static analysis of these metabolic ...

We present a Python implementation of a D- and E-region chemistry and ionization code called pyGPI5. Particle precipitation that penetrates into the E- and D-region of the ionosphere-thermosphere ...