This project aims to explore hybrid and automated programming models, including an analysis of their advantages and disadvantages from a programmers perspective, as a step toward answering the question, Will automated programming models someday replace hybrid models as the norm on large-scale and heterogeneous architectures? This paper examines several hybrid and several automated models genera...

A tailored model of a system is the prerequisite for various analysis tasks, such as anomaly detection, fault identification, or quality assurance. This paper deals with algorithmic learning system’s behavior given sample observations. In particular, we consider real-world production plants where learned must capture timing behavior, dependencies between variables, well mode switches—in short: ...

In this brief review, we present some cosmological models with a Hybrid Scale Factor (HSF) in the framework of general relativity (GR). The hybrid scale factor fosters an early deceleration as well late time acceleration and mimics Universe. dynamical aspects different HSF presence matter fields have been discussed.