• On order policies with pre-specified order schedules for a perishable product in retail. 

  Pauls-Worm, Karin G.J.; De Jong, Maartje V.; Hendrix, Eligius María Theodorus (2023)

  This paper studies a retail inventory system for a perishable product, based on a practical setting in Dutch retail. The product has a fixed shelf life of three days upon delivery at the store and product demand has a ...

• High Performance Computing for Genomics 

  Perez-Wohlfeil, Esteban (UMA Editorial, 2023)

  With the thrive of data acquisition methods, computerized research has become increasingly more common. However, in order to match the huge data-processing demands, the design of new algorithms along with their optimization ...

• miRNA as biomarker in lung cancer 

  Salcedo Lobera, Esperanza; Arroyo Varela, Macarena; Larrosa-Jiménez, Rafael; Bautista-Moreno, Rocío (Springer Nature, 2023-08-29)

  Lung cancer has a high prevalence and mortality due to its late diagnosis and limited treatment, so it is essential to find biomarkers that allow a faster diagnosis and improve the survival of these patients. In this sense, ...

• NATSA: A Near-Data Processing Accelerator for Time Series Analysis. 

  Fernández-Vega, Iván; Quislant-del-Barrio, Ricardo; Giannoula, Christina; Alser, Mohammed; Gómez-Luna, Juan; Gutiérrez-Carrasco, Eladio Damián; Plata-González, Óscar Guillermo; Mutlu, Onur[et al.] (IEEE, 2020)

  El análisis de series temporales es una técnica clave para extraer y predecir sucesos en ámbitos tan diversos como la epidemiología, la genómica, la neurociencia, las ciencias medioambientales o la economía, entre otros. ...

• Comparing assembly strategies for third-generation sequencing technologies across different genomes 

  Espinosa García, Elena María; Bautista-Moreno, Rocío; Fernández, Ivan; Larrosa-Jiménez, Rafael; López-Zapata, Emilio; Plata-González, Óscar Guillermo[et al.] (Elsevier, 2023-09)

  The recent advent of long-read sequencing technologies, such as Pacific Biosciences (PacBio) and Oxford Nanopore technology (ONT), has led to substantial accuracy and computational cost improvements. However, de novo ...

• Multimodal Human Pose Feature Fusion for Gait Recognition. 

  Cubero, Nicolás; Castro Payán, Francisco Manuel; Ramos-Cózar, Julián; Guil-Mata, Nicolás; Marín Jiménez, Manuel Jesús (2023)

  Gait recognition allows identifying people at a distance based on the way they walk (i.e. gait) in a non-invasive approach. Most of the approaches published in the last decades are dominated by the use of silhouettes or ...

• Real-Time Unsupervised Object Localization on the Edge for Airport Video Surveillance. 

  Ruiz Barroso, Paula; Castro Payán, Francisco Manuel; Guil-Mata, Nicolás (2023)

  Object localization is vital in computer vision to solve object detection or classification problems. Typically, this task is performed on expensive GPU devices, but edge computing is gaining importance in real-time ...

• On an OptLearn implementation using collaborative filtering. 

  Fuster López, Alejandro; Guerrero-García, Pablo; Hendrix, Eligius María Theodorus; Martínez-Cruz, Jesús; Nowak, Ivo (2023)

  The aim of the iMath project is to develop a recommender system where a student is recommended a next question or literature in a learning platform MathE. This paper describes the systems developed based on collaborative ...

• Artificial intelligence to assist specialists in the detection of haematological diseases 

  Díaz-del-Pino, Sergio; Trelles-Martínez, Roberto; González-Fernández, F.A.; Guil-Mata, Nicolás (Elsevier, 2023)

  Artificial intelligence, particularly the growth of neural network research and development, has become an invaluable tool for data analysis, offering unrivalled solutions for image generation, natural language processing, ...

• Irregular alignment of arbitrarily long DNA sequences on GPU 

  Perez-Wohlfeil, Esteban; Trelles-Salazar, Oswaldo Rogelio; Guil-Mata, Nicolás (Springer Nature, 2022-12-22)

  The use of Graphics Processing Units to accelerate computational applications is increasingly being adopted due to its affordability, flexibility and performance. However, achieving top performance comes at the price of ...

• MgO-containing porous carbon spheres derived from magnesium lignosulfonate as sustainable basic catalysts 

  García-Rollán, Miguel; García-Mateos, Francisco José; Ruiz-Rosas, Ramiro Rafael; Rosas-Martínez, Juana María; Rodríguez-Mirasol, José; Cordero-Alcántara, Tomás[et al.] (Elsevier, 2022-11-26)

  The presence of alkalis in lignosulfonate allows an easy preparation of sustainable MgO-containing carbon catalysts with surface basicity by carbonization of magnesium lignosulfonate and/or further partial gasification of ...

• Time series analysis acceleration with advanced vectorization extensions 

  Quislant, Ricardo; Fernández, Iván; Gutierrez, Eladio; Plata, Oscar (Springer, 2023)

  Time series analysis is an important research topic and a key step in monitoring and predicting events in many felds. Recently, the Matrix Profle method, and particularly two of its Euclidean-distance-based implementations—SCRIMP ...

• Automatic Extraction of Biometric Descriptors Based on Gait 

  Delgado-Escaño, Rubén (UMA Editorial, 2023)

  Nowadays, people identification is a topic of interest due to its implications in terms of safety, service automation and sanitary control. Historically, people have been identified by using its face, iris, or fingerprints. ...

• Experiments with Active-Set LP Algorithms Allowing Basis Deficiency 

  Hendrix, Eligius María Theodorus; Guerrero-García, Pablo (IOAP-MDPI, 2022-12-23)

  n interesting question for linear programming (LP) algorithms is how to deal with solutions in which the number of nonzero variables is less than the number of rows of the matrix in standard form. An approach is that of ...

• Optimization of massive data applications on heterogeneous architectures 

  Romero Moreno, José Carlos (UMA Editorial, 2023-01)

  In the last few years, the heterogeneous architectures have become dominant in each part of the computing industry: from heterogeneous GPU accelerators joining multi-core CPUs within the same chip, to Systems on Chip that ...

• Towards energy efficiency and productivity for decision making in mobile robot navigation 

  Constantinescu, Denisa-Andreea (UMA Editorial, 2022-11)

  Our goal in this work is to make it easy and feasible to implement solutions for autonomous decision-making and planning under uncertainty on low-power mobile platforms. We focus on practical applications, such as autonomous ...

• Whole-Genome Assembly: An Experimental Study of Computational Costs and Architectural Opportunities 

  Espinosa García, Elena María; López-Fernández, Iván; Larrosa-Jiménez, Rafael; Plata-González, Óscar Guillermo (2022)

  Whole-genome sequencing (WGS) pro- vides a huge amount of reads from which a comple- te genome could be assembled. The recent advent of long read sequencing technologies, such as PacBio and Oxford Nanopore, and the subsequent ...

• Exploiting Vector Extensions to Accelerate Time Series Analysis 

  Quislant-del-Barrio, Ricardo; Fernández-Vega, Iván; Serralvo, Eduardo; Gutiérrez-Carrasco, Eladio Damián; Plata-González, Óscar Guillermo (SARTECO, 2022-09-21)

  Time series analysis is an important research topic and a key step in monitoring and predicting events in many fields. Recently, the Matrix Profile method, and particularly two of its Euclidean-distance-based implementations ...

• Diseño del compilador de la máquina virtual inmortal iVM 

  Gutiérrez-Carrasco, Eladio Damián; Romero-Montiel, Sergio; Plata-González, Óscar Guillermo (Sociedad de Arquitectura y Tecnología de Computadores (SARTECO), 2022-09-21)

  Conservar la información digital durante mucho tiempo es difı́cil, incluso cuando se utiliza un medio de almacenamiento pasivo duradero, como una pelı́cula fotográfica almacenada en las condiciones adecuadas. En dicho ...

• A Hybrid Piece-Wise Slowdown Model for Concurrent Kernel Execution on GPU 

  López Albelda, Bernabé; Castro, Francisco M.; González-Linares, José María; Guil-Mata, Nicolás (José Cano, Phil Trinder, 2022-08)

  Current execution of kernels on GPUs allows improving the use of hardware resources and reducing the execution time of co-executed kernels. In addition, efficient kernel-oriented scheduling policies pursuing criteria based ...

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