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Mostrando ítems 1-10 de 114
Artículo
Lean User Research for Agile Organizations
(IEEE, 2020-07)
In the context of Digital Transformation, organizations need to react in a exible manner to rapidly changing markets and disruptive technologies. Customer and user satisfaction are important in order to succeed. Agile ...
Artículo
Empirical Evidence of the Usage of Programming Languages in the Educational Process
(IEEE Computer Society, 2021)
Contribution: A systematic literature review on the empirical evidence regarding the usage of programming languages for learning purposes is presented. The review analyzes different methods and tools at different ...
Artículo
Two deep learning approaches to forecasting disaggregated freight flows: convolutional and encoder–decoder recurrent
(Springer, 2021)
Time series forecasting of disaggregated freight flow is a key issue in decision-making by port authorities. For this purpose and to test new deep learning techniques we have selected seven time series of imported goods ...
Artículo
Filter‑based feature selection in the context of evolutionary neural networks in supervised machine learning
(Springer, 2020)
This paper presents a workbench to get simple neural classifcation models based on product evolutionary networks via a prior data preparation at attribute level by means of flter-based feature selection. Therefore, the ...
Artículo
Specification and Automated Analysis of Inter-Parameter Dependencies in Web APIs
(IEEE Computer Society, 2021)
Web services often impose inter-parameter dependencies that restrict the way in which two or more input parameters can be combined to form valid calls to the service. Unfortunately, current specification languages for web ...
Artículo
TOMATE: A heuristic-based approach to extract data from HTML tables
(Elsevier, 2021)
Extracting data from user-friendly HTML tables is difficult because of their different lay outs, formats, and encoding problems. In this article, we present a new proposal that first applies several pre-processing heuristics ...
Artículo
Handgun detection using combined human pose and weapon appearance
(IEEE Computer Society, 2021)
Closed-circuit television (CCTV) systems are essential nowadays to prevent security threats or dangerous situations, in which early detection is crucial. Novel deep learning-based methods have allowed to develop automatic ...
Artículo
DISCERNER: Dynamic selection of resource manager in hyper-scale cloud-computing data centres
(Elsevier, 2021)
Data centres constitute the engine of the Internet, and run a major portion of large web and mobile applications, content delivery and sharing platforms, and Cloud-computing business models. The high performance of such ...
Artículo
Recommender Systems and Scratch: An integrated approach for enhancing computer programming learning
(IEEE Computer Society, 2020)
Learning computer programming is a challenging process. Among the current approaches for overcoming this challenge, visual programming languages (VPLs), such as Scratch, have shown very promising results for beginners. ...
Artículo
Software Process Simulation Modeling: Systematic literature review
(Elsevier, 2020)
Changes and continuous progress in logistics and productive systems make the realization of improvements in decision making necessary. Simulation is a good support tool for this type of decisions because it allows ...