Scientific workflow systems are increasingly used to automate complex data analyses, largely due to their benefits over traditional approaches for workflow design, optimization, a...
— The relationship between subsymbolic neural networks and symbolic logical systems is discussed from the point of view of the account of computational science by Paul Humphreys ...
Scheduling of processes in mixed batch/continuous plants, due to their hybrid nature can become very complex. This paper presents the Timed Hybrid Petri net (THPN) as a suitable t...
Two broad classes of memory models are available today: models with hardware cache coherence, used in conventional chip multiprocessors, and models that rely upon software to mana...
John H. Kelm, Daniel R. Johnson, William Tuohy, St...
Embedded Systems are components integrating software and hardware jointly and specifically designed to provide given functionalities. These components may be used in many different...