Results 81 to 90 of about 39,359 (243)
This study models static recrystallization in interstitial free‐steel using coupled crystal plasticity and phase‐field simulations. The method directly links heterogeneous dislocation density to nucleation site prediction, eliminating reliance on empirical assumptions.
Alireza Rezvani+2 more
wiley +1 more source
Coprocessor – a Standalone SAT Preprocessor [PDF]
system description, short paper, WLP ...
openaire +3 more sources
We describe some of the novel aspects and motivations behind the design and implementation of the Ciao multiparadigm programming system. An important aspect of Ciao is that it provides the programmer with a large number of useful features from different
A. Casas+58 more
core +1 more source
Abstract Large‐scale hydrological models are progressing toward sub‐kilometer resolutions to achieve “locally relevant hydrological simulations.” However, grid‐based domain representations introduce significant errors in streamflow within small catchments, a challenge that remains unresolved by state‐of‐the‐art modeling schemes, such as 8‐directional ...
P. K. Shrestha+4 more
wiley +1 more source
Face Detection Using Backpropagation Neural Networks
This paper summarizes a research effort in human face detection. A system to locate human faces in images, especially when used as a front-end for a human face identification system, could have many applications in the law enforcement and security ...
Anifuddin Azis, Muhamad Haikal
doaj +1 more source
The DE magnetometer preprocessor users guide [PDF]
A users guide for the Dynamics Explorer magnetometer preprocessor computer program is provided. This program is written in Xerox Extended FORTRAN IV and is used to process telemetry data in order to provide data files for use in analysis programs.
Byrnes, J. B., Salter, L. M.
core +1 more source
Structure‐Aware Representation Learning for Effective Performance Prediction
ABSTRACT Application performance is a function of several unknowns stemming from the interactions between the application, runtime, OS, and underlying hardware, making it challenging to model performance using deep learning techniques, especially without a large labeled dataset. Collecting such labeled longitudinal datasets can take weeks. Intuitively,
Tarek Ramadan+4 more
wiley +1 more source
MEDINA: MECCA Development in Accelerators – KPP Fortran to CUDA source-to-source Pre-processor
The global climate model ECHAM/MESSy Atmospheric Chemistry (EMAC) is a modular global model that simulates climate change and air quality scenarios. The application includes different sub-models for the calculation of chemical species concentrations ...
Michail Alvanos, Theodoros Christoudias
doaj +1 more source
A Preprocessor Approach to Persistent C++
In conventional object oriented programming languages, objects are transient, that is they are destroyed upon program termination. Storing objects using explicit file access methods may cause objects to lose their manipulation and access semantics since the objects with different declarations may have the same storage representation.
Evrendilek, C, Dogac, A, Gesli, T
openaire +3 more sources
A Neural Model of How the Brain Represents and Compares Multi-Digit Numbers: Spatial and Categorical Processes [PDF]
Both animals and humans are capable of representing and comparing numerical quantities, but only humans seem to have evolved multi-digit place-value number systems.
Grossberg, Stephen, Repin, Dmitry
core +1 more source