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A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors
(MDPI AG, 2020-04-13)
[Abstract]
In recent years, human activity recognition has become a hot topic inside the scientific community. The reason to be under the spotlight is its direct application in multiple domains, like healthcare or fitness. ...
Automatic Seizure Detection Based on Star Graph Topological Indices
(Elsevier, 2012-08-15)
[Abstract] The recognition of seizures is very important for the diagnosis of patients with epilepsy. The seizure is a process of rhythmic discharge in brain and occurs rarely and unpredictably. This behavior generates a ...
Classical Music Prediction and Composition by Means of Variational Autoencoders
(MDPI AG, 2020-04-27)
[Abstract] This paper proposes a new model for music prediction based on Variational Autoencoders
(VAEs). In this work, VAEs are used in a novel way to address two different issues: music representation into the latent ...
Optimization of NIR Calibration Models for Multiple Processes in the Sugar Industry
(Elsevier, 2016-10-14)
[Abstract] The measurements of Near-Infrared (NIR) Spectroscopy, combined with data analysis techniques, are widely used for quality control in food production processes.
This paper presents a methodology to optimize ...
DoME: A Deterministic Technique for Equation Development and Symbolic Regression
(Elsevier, 2022-03-04)
[Abstract] Based on a solid mathematical background, this paper proposes a method for Symbolic Regression that enables the extraction of mathematical expressions from a dataset. Contrary to other approaches, such as Genetic ...
Aprendizaje basado en ejemplos: desarrollo de aplicaciones empresariales con tecnologías .net
(Universidad Peruana de Ciencias Aplicadas, 2015-06)
[Resumen]
El framework J2EE ha sido el gran dominador, durante mucho tiempo, en el desarrollo de
aplicaciones empresariales. Esto hecho originó la aparición de un rico ecosistema de herramientas,
manuales, tutoriales, ...
A New Evolutionary Computation Technique for 2D: Morphogenesis and Information Processing
(WSEAS Press, 2007-03)
[Abstract]
Paper presents a new model that takes the behaviour of biological cells and tries to adapt some of their characteristics to the artificial cells in order to solve computational problems. This model can be related ...
Determination of Egg Storage Time at Room Temperature Using a Low-Cost NIR Spectrometer and Machine Learning Techniques
(Elsevier, 2017-12-21)
[Abstract] Currently, consumers are more concerned about freshness and quality of food. Poultry egg storage time is a freshness and quality indicator in industrial and consumer applications, even though egg marking is not ...
System for Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques
(M D P I AG, 2019-08-21)
[Abstract] Automatic detection of Alzheimer’s disease is a very active area of research. This is due to its usefulness in starting the protocol to stop the inevitable progression of this neurodegenerative disease. This ...
UAV Swarm Path Planning With Reinforcement Learning for Field Prospecting
(Springer, 2022-03-03)
[Abstract] There has been steady growth in the adoption of Unmanned Aerial Vehicle (UAV) swarms by operators due to their time and cost benefits. However, this kind of system faces an important problem, which is the ...
