Results 51 to 60 of about 250,329 (273)

Zero-Shot Hashing via Transferring Supervised Knowledge

, 2016
Hashing has shown its efficiency and effectiveness in facilitating large-scale multimedia applications. Supervised knowledge e.g. semantic labels or pair-wise relationship) associated to data is capable of significantly improving the quality of hash ...
Frome A., Gionis A., Huang E. H., Jayaraman D., Kang W.-C., Krizhevsky A., Larochelle H., Liu W., Norouzi M., Petrović S., Romera-Paredes B., Socher R., Turian J., Weiss Y., Wen Z., Wu T. T., Xia R., Zhang H.   +17 more
core   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Solving Semantic Searches for Source Code

, 2012
Abstract : Programmers search for code frequently utilizing syntactic queries. The effectiveness of this type of search depends on the ability of a programmer to specify a query that captures how the desired code may have been implemented, and the results often include many irrelevant matches that must be filtered manually.
Daniel Dobos, Sebastian Elbaum, Kathryn T. Stolee   +2 more
openaire   +2 more sources

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Enhancing Binary Security Analysis Through Pre-Trained Semantic and Structural Feature Matching

Applied Sciences
Binary code similarity detection serves as a critical front-line defense mechanism in cybersecurity, playing an indispensable role in identifying known vulnerabilities, detecting emergent malware families, and preventing intellectual property theft via ...
Chen Yi, Wei Dai, Yiqi Deng, Liang Bao, Guoai Xu   +4 more
doaj   +1 more source

Semantic annotation, publication, and discovery of Java software components: an integrated approach [PDF]

, 2009
Component-based software development has matured into standard practice in software engineering. Among the advantages of reusing software modules are lower costs, faster development, more manageable code, increased productivity, and improved software ...
Dranidis, Dimitris, Kourtesis, Dimitrios, Zygkostiotis, Zinon   +2 more
core  

Evaluation of Siamese Networks for Semantic Code Search

, 2020
With the increase in the number of open repositories and discussion forums, the use of natural language for semantic code search has become increasingly common. The accuracy of the results returned by such systems, however, can be low due to 1) limited shared vocabulary between code and user query and 2) inadequate semantic understanding of user query ...
Sinha, Raunak, Desai, Utkarsh, Tamilselvam, Srikanth, Mani, Senthil   +3 more
openaire   +2 more sources

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Test-Based Clone Detection: an Initial Try on Semantically Equivalent Methods

IEEE Access, 2018
Most code clone detection approaches identify clones via static source code analysis. Such approaches are effective and efficient in detecting lexically similar clones.
Guangjie Li, Hui Liu, Yanjie Jiang, Jiahao Jin   +3 more
doaj   +1 more source

Polyglot Semantic Parsing in APIs

, 2018
Traditional approaches to semantic parsing (SP) work by training individual models for each available parallel dataset of text-meaning pairs. In this paper, we explore the idea of polyglot semantic translation, or learning semantic parsing models that ...
Berant, Jonathan, Kuhn, Jonas, Richardson, Kyle   +2 more
core   +1 more source