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Mostrando ítems 101-110 de 164
Artículo
Using Scratch to Improve Learning Programming in College Students: A Positive Experience from a Non-WEIRD Country
(MDPI, 2021)
Teaching computer programming is a real challenge in the State University of Milagro (UNEMI), located in one of the least-developed zones in Ecuador, a non-WEIRD country (WEIRD stands for Western, Educated, Industrialized, ...
Artículo
Classifying and resolving software product line redundancies using an ontological first-order logic rule based method
(Elsevier, 2021)
Software product line engineering improves software quality and diminishes development cost and time by efficiently developing software products. Its success lies in identifying the commonalities and variabilities of a ...
Artículo
Measuring data‑centre workfows complexity through process mining: the Google cluster case
(Springer, 2020)
Data centres have become the backbone of large Cloud services and applica-tions, providing virtually unlimited elastic and scalable computational and storage resources. The search for the efficiency and optimisation ...
Artículo
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model
(Mary Ann Liebert, 2020)
This study proposes a novel bioinspired metaheuristic simulating how the coronavirus spreads and infects healthy people. From a primary infected individual (patient zero), the coronavirus rapidly infects new victims, ...
Artículo
DirectDebug: Automated Testing and Debugging of Feature Models
(Cornell University, 2021)
Variability models (e.g., feature models) are a common way for the representation of variabilities and commonalities of software artifacts. Such models can be translated to a logical representation and thus allow different ...
Artículo
Uniform and scalable sampling of highly configurable systems
(Springer, 2022)
Many analyses on confgurable software systems are intractable when confronted with colossal and highly-constrained confguration spaces. These analyses could instead use statistical inference, where a tractable sample ...
Artículo
MCFS: Min-cut-based feature-selection
(Elsevier, 2020)
In this paper, MCFS (Min-Cut-based feature-selection) is presented, which is a feature-selection algorithm based on the representation of the features in a dataset by means of a directed graph. The main contribution of our ...
Artículo
Deep Learning Techniques to Improve the Performance of Olive Oil Classification
(Frontiers Editorial, 2020)
The olive oil assessment involves the use of a standardized sensory analysis according to the “panel test” method. However, there is an important interest to design novel strategies based on the use of Gas Chromatography ...
Artículo
Statistical validation of synthetic data for lung cancer patients generated by using generative adversarial networks
(MDPI, 2022)
The development of healthcare patient digital twins in combination with machine learning technologies helps doctors in therapeutic prescription and in minimally invasive intervention procedures. The confidentiality of ...
Artículo
Hybrid agent-based methodology for testing response protocols
(Elsevier, 2021)
In recent years we have seen multiple incidents with a large number of people injured and killed by one or more armed attackers. Since this type of violence is difficult to predict, detecting threats as early as possible ...