The use of machine learning (ML) methods has been widely discussed for over a decade. The search for the optimal model is still a challenge that researchers seek to address. Despite advances in current work that surpass the limitations of previous ones, research still faces new challenges in...

Economies of scope in data aggregation (ESDA) are attracting the attention of policymakers and researchers because of the efficiency gains they could bring about. Antitrust authorities, in turn, are concerned about their potential anti-competitive outcomes. However, the concept remains blurry...

A Stackelberg Game-Theoretic Model of Fee-and-Rebate Pricing in a Load-Reduction Emergency Demand Response Program -- Planning to Incorporate Energy Conservation Practices, Renewable Energy Production Systems, and Eco-friendly Building Design Practices to Support Sustainability in US Public...

A Stackelberg Game-Theoretic Model of Fee-and-Rebate Pricing in Load-Reduction Emergency Demand Response Program -- The forecasting of Turkey’s primary energy resources by LR Fuzzy numbered-Multivariate Autoregressive Model -- IoT Integration with Smart Grid Using Decentralization Technology...

In this paper, we investigated rates of admission to hospitals (or other health facilities) due to respiratory diseases in a United States working population and their dependence on a number of demographic and health insurance-related factors. We employed neural network (NN) modelling...