A5089500042- Stellar, planetary, and galactic studies
- E-Learning and Knowledge Management
- Astronomy and Astrophysical Research
- Higher Education Teaching and Evaluation
- Fault Detection and Control Systems
- Semiconductor Lasers and Optical Devices
- Problem and Project Based Learning
- Plasma Applications and Diagnostics
- Astronomical Observations and Instrumentation
- Mineral Processing and Grinding
- Online Learning and Analytics
- Construction Project Management and Performance
- Surface Modification and Superhydrophobicity
- Granular flow and fluidized beds
- Gamma-ray bursts and supernovae
- Neural Networks and Applications
- Data Mining Algorithms and Applications
- Organizational Management and Innovation
- Engineering Education and Curriculum Development
- Knowledge Societies in the 21st Century
- Industrial Vision Systems and Defect Detection
- Non-Destructive Testing Techniques
- Dental materials and restorations
- Software Engineering Techniques and Practices
- Student Assessment and Feedback
Universidad de La Rioja
2016-2025
Universidad Autónoma de Madrid
2022-2024
Universidad de León
2005-2017
Universidad de León
2008
The presence of heavy metals in waste water brings serious environmental pollution that threatens human health and the ecosystem. Bioremediation has received considerable growing interest over years. Thus, this paper presents use Spent Mushroom Substrate (SMS) Agaricus bisporus cultivation as a bioremediating agent to remove are present industrial waters. These include chromium, lead, iron, cobalt, nickel, manganese, zinc, copper aluminium. In particular, study analyses performance SMS...
Abstract The goal of this paper is to present a competence assessment method in project management that based on participants' performance and value creation. It seeks close an existing gap higher education. proposed relies information communication technology ( ICT ) tools combines Project Management Information System PMIS with survey system. This permits it be implemented Internet‐based simulation game. system enforces the individual competences by set indicators stream analyses. A...
The purpose of this work was to analyse the compaction a cohesive material using different Discrete Element Method (DEM) simulators determine equivalent contact models and identify how some simulation parameters affect results (maximum force compact appearance) computational costs. For purpose, three cohesion were tested: linear in EDEM, simplified Johnson-Kendall-Roberts (SJKR) modified SJKR (SJKR2) LIGGGHTS. influence particle size distribution (PSD) on also investigated. Further...
Existing and upcoming instrumentation is collecting large amounts of astrophysical data, which require efficient fast analysis techniques. We present a deep neural network architecture to analyze high-resolution stellar spectra predict parameters such as effective temperature, surface gravity, metallicity, rotational velocity. With this study, we firstly demonstrate the capability networks precisely recover from synthetic training set. Secondly, application method observed impact gap (i.e.,...
Aims. We present an improved method for automated stellar variability classification, using fundamental parameters derived from high resolution spectra, with the goal to improve classification obtained information CoRoT light curves only. Although we focus on Giraffe spectra and in this work, methods are much more widely applicable.
The ability of bacteria to form biofilms that enhance their resistance disinfectants and antibiotics is a matter concern in the fields food processing healthcare. Since culture conditions laboratories are not exactly same as real environments where bacterial infection takes place, developing models rapidly produce biofilm on test surfaces has become an interesting topic research. In this work, Pseudomonas aeruginosa production polystyrene Petri dishes was promoted by atmospheric-pressure...
En la actualidad, reducir tasa de abandono escolar temprano continúa siendo una línea acción prioritaria para los sistemas educativos todo el mundo. este sentido, parece conveniente avanzar en comprensión motivos que predisponen al estudiantado a tomar esta decisión con efectos perturbadores tanto nivel personal como social. Sensibles su importancia, trabajo tiene objetivo identificar factores influencia intención temprano. Para ello, adoptamos un enfoque metodológico carácter cuantitativo...
Context . Deep learning (DL) techniques are a promising approach among the set of methods used in ever-challenging determination stellar parameters M dwarfs. In this context, transfer could play an important role mitigating uncertainties results due to synthetic gap (i.e. difference feature distributions between observed and data). Aims We propose feature-based deep (DTL) based on autoencoders determine from high-resolution spectra. Using methodology, we provide new estimations for effective...
AbstractAbstractIn this paper, the application of data mining and artificial intelligence techniques stemming from other problem areas to particular case a galvanised steel manufacturing process, is presented. The main goal optimise quality control by developing predictive model mechanical properties according chemical composition conditions in annealing furnace.Keywords: HOT DIP GALVANISING LINE (HDGL)ANNEALINGDATA MININGARTIFICIAL INTELLIGENCE
Abstract The current study shows how data mining and artificial intelligence techniques can be used to introduce improvements in the rubber extrusion production process. One of keys for planning manufacturing values is prior knowledge properties material extruded. At present, such information obtained through laboratory trials performed on samples taken off line after elastomers have been manufactured, with subsequent cost delays. In view these problems, present proposes a neural model...
Production of mushrooms and wine has a very significant economic impact on the Region La Rioja (Spain). A direct consequence these activities is production large volumes agricultural wastes. Since composting may be viable alternative means to reduce environmental problems currently associated with management residues, this article reports results that have been obtained from two types spent mushroom substrate winery sludge. The characteristics final product indicated combination residues in...
AbstractAbstractIn this day and age, galvanised coated steel is an essential product in several key manufacturing sectors because of its anticorrosive properties. The increase demand has led managers to improve the different phases their production chains. Among efforts needed accomplish task, process modelling can be identified as one with most powerful outputs spite non-trivial development. In many fields, such industrial modelling, multilayer feedforward neural networks are often proposed...