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Mostrando ítems 601-610 de 773
Artículo
Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm
(Wiley, 2022)
The safety operation and management of hydropower dam play a critical role in social-economic development and ensure people’s safety in many countries; therefore, modeling and forecasting the hydropower dam’s deformations ...
Artículo
SOA4 All Integrated Ranking: una herramienta holística basada en preferencias
(Asociación de Técnicos de Informática, 2012)
Artículo
PHILNet: A novel efficient approach for time series forecasting using deep learning
(ScienceDirect, 2023)
Time series is one of the most common data types in the industry nowadays. Forecasting the future of a time series behavior can be useful in planning ahead, saving time, resources, and helping avoid undesired scenarios. ...
Artículo
On exploring data lakes by finding compact, isolated clusters
(Elsevier, 2022)
Data engineers are very interested in data lake technologies due to the incredible abun dance of datasets. They typically use clustering to understand the structure of the datasets before applying other methods to infer ...
Artículo
Natural Encoding for Evolutionary Supervised Learning
(IEEE, 2007)
Some of the most influential factors in the quality of the solutions found by an evolutionary algorithm (EA) are a correct coding of the search space and an appropriate evaluation function of the potential solutions. ...
Artículo
openSkies - Integration of Aviation Data into the R Ecosystem
(The R Foundation, 2021)
Aviation data has become increasingly more accessible to the public thanks to the adoption of technologies such as Automatic Dependent Surveillance-Broadcast (ADS-B) and Mode S, which provide aircraft information over ...
Artículo
NDT-Suite, una solución práctica para el uso de NDT
(Asociación Española para la Gobernanza, la Gestión y la Medición de las Tecnologías de la Información (AEMES), 2011)
The importance of software engineering is well established and accepted by the research community. However, it is still common to find reticence in the business world against the discipline. There are plenty of proposals ...
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Model-Based Software Design and Testing in Blockchain Smart Contracts: A Systematic Literature Review
(IEEE Computer Society, 2020)
Blockchain technology promises to spark a real revolution. One of most important concepts associated with this technology is smart contracts, which enable the automatic execution of agreements and augur a world without ...
Artículo
Evaluation of Deep Neural Networks for traffic sign detection systems
(Elsevier, 2018)
Traffic sign detection systems constitute a key component in trending real-world applications, such as autonomous driving, and driver safety and assistance. This paper analyses the state-of-the-art of several object-detection ...
Artículo
PLEC, A Participative Process for GUI Prototyping
(River Publishers, 2019)
GUI is one of the key aspect of an information system from the point of view of customers and users. This paper introduces PLEC, a participative process for designing GUI interfaces with the collaboration of the final ...