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Michiel van der Vlag, Lionel Kusch, Alain Destexhe, Viktor Jirsa, Sandra Diaz-Pier and Jennifer S. Goldman
Global neural dynamics emerge from multi-scale brain structures, with nodes dynamically communicating to form transient ensembles that may represent neural information. Neural activity can be measured empirically at scales spanning proteins and subcellul...
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Pilar Rosado-Rodrigo and Ferran Reverter
In the context of a society saturated in images, convolutional neural networks (CNNs), pre-trained using from the visual information contained in many thousands of images, constitute a tool that is of great use in helping us to organize the visual herita...
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Emanuel Rieder, Matthias Schmuck and Alexandru Tugui
Digital transformation (or digitalization) is the process of continuous further development of digital technologies (such as smart devices, cloud services, and Big Data) that have a lasting impact on our economy and society. In this manner, digitalizatio...
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Apichat Suratanee and Kitiporn Plaimas
Identifying genes associated with autism spectrum disorder (ASD) is crucial for understanding the underlying mechanisms of the disorder. However, ASD is a complex condition involving multiple mechanisms, and this has resulted in an unclear understanding ...
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Raul-Ronald Galea, Laura Diosan, Anca Andreica, Loredana Popa, Simona Manole and Zoltán Bálint
Despite the promising results obtained by deep learning methods in the field of medical image segmentation, lack of sufficient data always hinders performance to a certain degree. In this work, we explore the feasibility of applying deep learning methods...
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Pedro Escudero, Willian Alcocer and Jenny Paredes
Analyzing the future behaviors of currency pairs represents a priority for governments, financial institutions, and investors, who use this type of analysis to understand the economic situation of a country and determine when to sell and buy goods or ser...
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Jairo Dario Castillo Calderón,Byron Agustin Solórzano Castillo,José Andrés Moreno Moreno
La presente investigación está orientada al diseño de una red neuronal para la predicción del factor de fricción en régimen de flujo turbulento, siendo este indispensable para el cálculo de pérdidas primarias en conductos cerrados o tuberías. Se utiliza ...
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Luis Corrales Barrios,Alexei Ramírez Vázquez
Pág. 137 - 150
Con el incremento del grado de dependencia de la sociedad moderna de los sistemas y procesos tecnológicos complejos, su disponibilidad y correcto funcionamiento se han convertido en una cuestión estratégica, donde las tareas de diagnóstico y clasificació...
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José Luis Torres Trespalacios
Pág. 129 - 163
In this work models of short term are considered to foretell the inflation of transables and non transables goods in Colombia. These models did not exist in the Central bank before 2004 and are very useful for the decision making of monetary policy. Also...
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