Abstract: This paper proposes a direct model for conditional probability density forecasting of residential loads, based on a deep mixture network. Probabilistic residential load forecasting can ...

The concept of the "Gnosis conditional token framework" implements a codebase for tokenizing potential outcomes in prediction markets. Such markets are often referred to as information markets, idea ...

We introduce a comprehensive framework that models and predicts the full conditional distribution of a univariate target as a function of covariates. Choosing from a wide range of continuous, discrete ...

One of WordPress's most popular Elementor plugins, "Essential Addons for Elementor," was found to be vulnerable to an unauthenticated privilege escalation that could allow remote attacks to gain ...

Car-following modeling is essential in the longitudinal control for connected and autonomous vehicles (CAVs). Considering the advantage of the generative adversarial network (GAN) in capturing ...

Abstract: This paper proposes a direct model for conditional probability density forecasting of residential loads, based on a deep mixture network. Probabilistic residential load forecasting can ...

Endocytosis controls the proteome and lipidome of the plasma membrane and therefore the communication between the cell and the outside world. Because of its importance, many attempts have been made to ...

In ischemic stroke, breakdown of the blood-brain barrier (BBB) aggravates brain damage. Endothelial detachment contributes to BBB disruption and neurovascular dysfunction, but its regulation in stroke ...