Dataset of the Paper "Automatically Classifying UML Class Diagrams from Images using Deep Learning"
, 2021 A dataset with 3298 images that contains 1649 UML class diagrams and 1649 non-UML images.
Anonymous
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Classifying Natural Language Text as Controlled and Uncontrolled for UML Diagrams [PDF]
International Journal of Advanced Computer Science and Applications, 2017 Natural language text fall within the category of Controlled and Uncontrolled Natural Language. In this paper, an algorithm is presented to show that a given language text is controlled or uncontrolled. The parameters and framework is provided for UML diagram's repository. The parameter for controlled and uncontrolled languages is provided.
Nakul Sharma, Prasanth Yalla
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Classifying Research on UML model Inconsistencies with Systematic Mapping
, 2013 Context: Unified Modeling Language (UML) is a universal and standard modeling language that has been extensively used in software development process. Due to overlap and synchronous nature among different modeling artefacts in UML, several consistency issues have been identified in many software development projects that may lead to project failure. To
Thalanki, Pavan Kumar +1 more
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An Automated Approach for Classifying Reverse-Engineered and Forward-Engineered UML Class Diagrams [PDF]
2018 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 2018 UML Class diagrams are commonly used to describe the designs of systems. Such designs can be used to guide the construction of software. In practice, we have identified two main types of using UML: i) FwCD refers to diagrams are hand-made as part of the forward-looking development process; ii) RECD refers to those diagrams that are reverse engineered ...
Mohd Hafeez Osman +2 more
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, 2004 Current approaches to word sense disambiguation use and combine various machine-learning techniques. Most refer to characteristics of the ambiguous word and surrounding words and are based on hundreds of examples. Unfortunately, developing large training sets is time-consuming.
Gondy, Leroy, Thomas C, Rindflesch
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Preventive diagnosis of dairy cow lameness [PDF]
Engenharia Agrícola, 2014 This research aimed to develop a Fuzzy inference based on expert system to help preventing lameness in dairy cattle. Hoof length, nutritional parameters and floor material properties (roughness) were used to build the Fuzzy inference system.
Mario Mollo Neto +3 more
doaj +1 more source
The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review. [PDF]
NPJ Digit Med, 2022 Abd-Alrazaq A +7 more
europepmc +1 more source
Entropy as a Measure of Consistency in Software Architecture. [PDF]
Entropy (Basel), 2023 Niepostyn SJ, Daszczuk WB.
europepmc +1 more source
Local domain generalization with low-rank constraint for EEG-based emotion recognition. [PDF]
Front Neurosci, 2023 Tao J, Dan Y, Zhou D.
europepmc +1 more source
Model-Driven Engineering Techniques and Tools for Machine Learning-Enabled IoT Applications: A Scoping Review. [PDF]
Sensors (Basel), 2023 Mardani Korani Z +3 more
europepmc +1 more source