… knowledge about the architectural environment in the form of … that applies scenario-aware
data-driven HAM to optimizing … of the proposed multi-application HAM methodology. Figure …

… We aim at developing a data-driven hardware/software compilation framework that takes
as input an application description using a combination of workflow libraries, AI libraries and …

… user end while reducing the use of cloud services [10]. Fog processing is used to process or
compute data within a cloud environment or … tools and facilitates multiapplication founder by …

… In this context, this article addresses the problem of scheduling data-driven industrial
workflow … Sedraoui, “Warm: Workload-aware multiapplication task scheduling for revenue …

… vehicle application scenario with multiapplication pipelines, their … By utilizing our model
trained with a combination of (n, k) = (3… environment. In Table V, we observe that the (n, k) = (4, 3) …

… significant developments in data-driven techniques for real-… within general process modeling
environments such as gPROMS… and deployment of such complex multi-application systems. …

… Through a series of data-driven experiments conducted on … model instability in the ever-changing
traffic environment … called FEAML for multi-application classification based on mobile …

… Authors of [19] apply a data-driven robust optimization … can be optimized under various
multi-application combinations [7]. … their proposed BESS multi-use model. None of the papers …

… and scalability, a novel data-driven DRL method is proposed, utilizing … packet scheduling
since that the environment changes … For modelling the process of multi-user multi-application …

… multi-application, including digital illumination, digital monitoring system, push notifications,
emergency reporting, and long-distance environmental … provide data-driven corresponding …