Regenerating a Graphical User Interface Using Deep Learning

2021 ◽  
pp. 341-352
Author(s):  
Fatima Cheddi ◽  
Ahmed Tahiri ◽  
Mohammed Serrhini
Keyword(s):  
Deep Learning ◽  
User Interface ◽  
Graphical User Interface

scholarly journals Visual Recognition Of Graphical User Interface Components Using Deep Learning Technique

2020 ◽  
Vol 13 (1) ◽  
pp. 35
Author(s):  
Agyl Ardi Rahmadi ◽  
Aris Sudaryanto
Keyword(s):  
Computer Vision ◽  
Deep Learning ◽  
User Interface ◽  
Graphical User Interface ◽  
Visual Recognition ◽  
Usability Testing ◽  
Learning Technique ◽  
Different Types ◽  
Vision Technique ◽  
Computer Vision Technique

Graphical User Interface (GUI) building in software development is a process which ideally need to go through several steps. Those steps in the process start from idea or rough sketch of the GUI, then refined into visual design, implemented in coding or prototype, and finally evaluated for its function and usability to discover design problem and to get feedback from users. Those steps repeated until the GUI considered satisfactory or acceptable by the user. Computer vision technique has been researched and developed to make the process faster and easier; for example generating code for implementation, or automatic GUI testing using component images. But among those techniques, there are still few for usability testing purpose. This preliminary research attempted to make the foundation for usability testing using computer vision technique by built minimalist dataset which has images of various GUI components and used the dataset in deep learning experiment for GUI components visual recognition. The experiment results showed deep learning technique suitable for the intended task, with accuracy of 95% for recognition of two different types of components, and accuracy of 72% for six different types of component.

scholarly journals A Deep Learning Graphical User Interface Application on MATLAB

2020 ◽  
Author(s):  
Aditya Akundi ◽  
Tzu-Liang Tseng ◽  
Zejing Cao ◽  
Hoejin Kim
Keyword(s):  
Deep Learning ◽  
User Interface ◽  
Graphical User Interface

HOW TO USE CROP GROWTH MODEL WOFOST FOR FORECASTING GROWTH AND YIELD OF A CROP

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
LAL SINGH ◽  
PARMEET SINGH ◽  
RAIHANA HABIB KANTH ◽  
PURUSHOTAM SINGH ◽  
SABIA AKHTER ◽  
...  
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Input Data ◽  
Growth And Yield ◽  
Weather Data ◽  
Data Sets ◽  
Crop Growth Model ◽  
Control Center ◽  
Field Crops ◽  
Crop Calendar

WOFOST version 7.1.3 is a computer model that simulates the growth and production of annual field crops. All the run options are operational through a graphical user interface named WOFOST Control Center version 1.8 (WCC). WCC facilitates selecting the production level, and input data sets on crop, soil, weather, crop calendar, hydrological field conditions, soil fertility parameters and the output options. The files with crop, soil and weather data are explained, as well as the run files and the output files. A general overview is given of the development and the applications of the model. Its underlying concepts are discussed briefly.

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