Results 101 to 110 of about 770,485 (338)
Advanced Engineering Materials, EarlyView.Phase‐field simulations coupled with dislocation‐density‐based crystal plasticity modeling reproduce γ′ rafting behavior in single‐crystal Ni‐based superalloys under varied loading conditions. The model captures both macroscopic creep and microscopic morphology evolution, with results matching high‐temperature creep experiments.
Micheal Younan +5 more
wiley +1 more source
Analyzing Symbolic Violence Phenomenon in Project Schools
Journal of Economy Culture and SocietyThe purpose of the study is to determine whether teachers are subjected to symbolic violence by administrators and, if they are, to disclose the practices of symbolic violence, the reasons behind it, and the reactions of teachers in the face of symbolic ...
Mithat Korumaz, Tuğba Konal Memiş
doaj +1 more source
Solving fluid flow problems using semi-supervised symbolic regression on sparse data
AIP Advances, 2019 The twenty first century is the century of data. Machine learning data and driven methods start to lead the way in many fields. In this contribution, we will show how symbolic regression machine learning methods, based on genetic programming, can be used
Yousef M. F. El Hasadi, Johan T. Padding
doaj +1 more source
Improving Evolutionary Test Data Generation with the Aid of Symbolic Execution [PDF]
, 2009 Mike Papadakis, Nicos Malevris
openalex +1 more source
Symbolic data analysis as a tool for credit fraud detection Materials.zip
, 2021 Andrzej Dudek
openalex +2 more sources
Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing
Advanced Engineering Materials, EarlyView.The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai +6 more
wiley +1 more source
The DLG processor: A data management executive for the engineering design integration (EDIN) system. Volume 1: Engineering description and utilization manual [PDF]
The DLG processor is a Univac 1100 series computer program designed to read, modify, manipulate, and replace symbolic images. DLG is controlled by a set of user supplied directives and operates from a data base of stratified information which can be ...
Colquitt, W. N., Glatt, C. R.
core +1 more source
Advanced Functional Materials, EarlyView.In this study, the interplay of dipolar dynamics and ionic charge transport in MOF compounds is investigated. Synthesizing the novel structure CFA‐25 with integrated freely rotating dipolar groups, local and macroscopic effects, including interactions with Cs cations are explored.
Ralph Freund +6 more
wiley +1 more source
Symbolic Computing with Incremental Mindmaps to Manage and Mine Data Streams - Some Applications
, 2008 In our understanding, a mind-map is an adaptive engine that basically works incrementally on the fundament of existing transactional streams. Generally, mind-maps consist of symbolic cells that are connected with each other and that become either ...
Brucks, Claudine +4 more
core +1 more source
Symbolic learning enables self-evolving agents
AI OpenThe AI community has been exploring a pathway to artificial general intelligence (AGI) by developing “language agents”, which are complex large language models (LLMs) workflows involving both prompting techniques and tool usage methods.
Yixin Ou +11 more
doaj +1 more source