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Electrochemical Detection of Cancer Biomarkers: From Molecular Sensing to Clinical Translation. [PDF]

open access: yesBiosensors (Basel)
Nadeem-Tariq A   +5 more
europepmc   +1 more source
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Detecting Design Patterns in UML Class Diagram Images using Deep Learning

Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, 2022
Detecting software design pattern is an important part of software reverse engineering because design patterns can provide the most intuitive design idea of software products, which can be useful for maintenance engineers.
Xun Zhang   +3 more
semanticscholar   +1 more source

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.
openaire   +2 more sources

A Multinomial Naïve Bayes Classifier for identifying Actors and Use Cases from Software Requirement Specification documents

2022 2nd International Conference on Intelligent Technologies (CONIT), 2022
A software Requirements Specification (SRS) document is an NL (Natural Language) written textual specification that documents the functional and non-functional requirements of the system and various expectations of clients in a software development ...
Vineetha K V, P. Samuel
semanticscholar   +1 more source

Multiclass Classification of UML Diagrams from Images Using Deep Learning

International journal of software engineering and knowledge engineering, 2021
Unified Modeling Language (UML) diagrams are a recognized standard modeling language for representing design of software systems. For academic research, large cases containing UML diagrams are needed.
S. Shcherban   +3 more
semanticscholar   +1 more source

UML Class Model Generation of Images Using Neural Networks

International Conference on Systems, Signals, and Image Processing, 2022
This paper presents the way machine learning and deep learning techniques are used to classify boats and extract their attributes in a UML model.
Irina-Gabriela Nedelcu   +3 more
semanticscholar   +1 more source

A Deep Learning Enhanced UML Framework for Modeling Smart Interactive Museum Ecosystems in Cultural Spaces

International Journal of Information System Modeling and Design
The digital transformation of cultural institutions requires intelligent, adaptive systems to enhance visitor engagement. Traditional system modeling approaches lack the capacity to integrate real-time learning behaviors and adaptability.
Wenru Zhao, Liping Su
semanticscholar   +1 more source

Classifying Class and Finding Community in UML Metamodel Network

2005
Composed of many classes or modules, big software can be represented with network model. By extracting the topology of UML metamodel from the UML metamodel specification, the scale-free, small-world networks properties are revealed. Based on this observation, we come up with our algorithms that can classify all classes in UML metamodel into three kinds:
Bin Liu, Deyi Li, Jin Liu, Fei He
openaire   +1 more source

Constraining Type Parameters of UML 2 Templates with Substitutable Classifiers

2009
Generic programming is a field of computer science which consists in defining abstract and reusable representations of efficient data structures and algorithms. In popular imperative languages, it is usually supported by a template-like notation, where generic elements are represented by templates exposing formal parameters.
Arnaud Cuccuru   +3 more
openaire   +1 more source

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