This study presents valuable findings from a spatiotemporal analysis of arbovirus case notification data from 2013 to 2020 in Brazil, reporting associations between covariates representing potential ...

Abstract: To deal with the uncertain relationship between random variables and harmonic spectrum in existing random pulsewidth modulation (PWM), this article links the uniformly distributed random ...

Abstract: Applying model-based learning for the optimal decision of the multi-agent system is not trivial due to the expensive price or even the impossibility of obtaining the ground truth for ...

Children and young people have higher risks of rare vascular and inflammatory diseases up to 12 months after a first COVID-19 ...

The MIXL model was run with 5000 Halton draws and with all parameters included as random. The p values of the coefficients ... were calculated for the other survey questions. Categorical variables ...

Discover the secrets to generating random numbers in Python using the NumPy library. Unleash the full potential of your code ...

Understand the risks of encrypted AI traffic exposure and explore practical steps users and cloud providers can take to stay ...

The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...

The dairy business and industry in Oman grapples with complex challenges, from wavering milk prices and escalating input ...

Love has always been painted as timeless, a force that defies logic, calendars, and even common sense. Yet, when we talk ...