Ciencia e Técnica Cibernética (CTC)

Clustering Techniques Selection for a Hybrid Regression Model: A Case Study Based on a Solar Thermal System

Gasificación de biomasa

Soft-Computing Techniques to Address Industrial and Environmental Challenges

A comparative analysis of intelligent techniques to predict energy generated by a small wind turbine from atmospheric variables

A novel method for anomaly detection using Beta Hebbian Learning and Principal Component Analysis

A three-stage hybrid clustering system for diagnosing children with primary headache disorder

A hybrid genetic algorithm, list-based simulated annealing algorithm, and different heuristic algorithms for travelling salesman problem

Intelligent model for active power prediction of a small wind turbine

Editorial: Special issue SOCO 2020

A Fault-Detection System Approach for the Optimization of Warship Equipment Replacement Parts Based on Operation Parameters

Use of Plackett-Burman and Box-Behnken Designs to Optimize Bioelectricity Production from Winery Residues

Development of an Intelligent Classifier Model for Denial of Service Attack Detection

Electrospun composite fibers containing organic phase change materials for thermo-regulation: Trends

Research on the Improvement of Safety Navigation Based on the Shipmaster's Control of Ship Navigational Parameters When Sailing in Different Sea State Conditions

Gestión de la energía en sistemas renovables híbridos

Effects of paraffin additives, as phase change materials, on the behavior of a traditional lime mortar

Hybrid intelligent system for a synchronous rectifier converter control and soft switching ensurement

Computational intelligence applied to cybersecurity

A hybrid one-class approach for detecting anomalies in industrial systems

A hybrid intelligent model to predict the hydrogen concentration in the producer gas from a downdraft gasifier

A distributed topology for identifying anomalies in an industrial environment

Special Issue SOCO 2020: New trends in soft computing and its application in industrial and environmental problems

Special Issue on Hybrid Artificial Intelligence Systems from HAIS 2020 Conference

A One-class Classifier Based on a Hybrid Topology to Detect Faults in Power Cells

One-Class-Based Intelligent Classifier for Detecting Anomalous Situations During the Anesthetic Process

Advanced Visualization of Intrusions in Flows by Means of Beta-Hebbian Learning

Editorial: Special issue HAIS19-IGPL

Intelligent Model for Power Cells State of Charge Forecasting in EV

Effect of Phase-Change Materials on Laboratory-Made Insoles: Analysis of Environmental Conditions

An Assessment on the Efficiency of Clothing with UV Protection among the Spanish Navy School Students

Sistema híbrido inteligente para el control y operación de un convertidor elevador en modo Soft-Switching

Intelligent One-Class Classifiers for the Development of an Intrusion Detection System: The MQTT Case Study

Experiencia blended learning apoyada en un laboratorio virtual para educación de materias STEM

Special Issue 'Applications of Artificial Intelligence Systems'

Design Sprint: Enhancing STEAM and engineering education through agile prototyping and testing ideas

Modelling material flow using the Milk run and Kanban systems in the automotive industry

An Application of a Hybrid Intelligent System for Diagnosing Primary Headaches

An intelligent system for harmonic distortions detection in wind generator power electronic devices

A hybrid intelligent classifier for anomaly detection

Recent advances in the application of data science to industrial cybersecurity

Hybrid Intelligent Model to Predict the Remifentanil Infusion Rate in Patients Under General Anesthesia

Machine learning techniques for computer-based decision systems in the operating theatre: application to analgesia delivery

Editorial: Special issue HAIS 2018

Residual forest biomass and energy assessment: a case study analysis in the region of Alto Minho (North Portugal) for the creation of BLCs and 2GBLCs

A new method for anomaly detection based on non-convex boundaries with random two-dimensional projections

Study, measurement and mitigation of radon activity concentration in the School of Computer Science of the Universidade da Coruña in the North West of Spain

How political decisions affect the economy of a sector: The example of photovoltaic energy in Spain

Teaching structural analysis theory with Jupyter Notebooks

Virtual Sensors and Anomaly Detection

Detection of DoS Attacks in an IoT Environment with MQTT Protocol Based on Intelligent Binary Classifiers

A Multicriteria Evaluation of Sustainable Riparian Revegetation with Local Fruit Trees around a Reservoir of a Hydroelectric Power Plant in Central Brazil

Intrusion Detection with Unsupervised Techniques for Network Management Protocols over Smart Grids

Impact of Individual Headache Types on the Work and Work Efficiency of Headache Sufferers

Machine learning based method for the evaluation of the Analgesia Nociception Index in the assessment of general anesthesia

Edge Computing and Adaptive Fault-Tolerant Tracking Control Algorithm for Smart Buildings: A Case Study

Comparative Study of One-Class Based Anomaly Detection Techniques for a Bicomponent Mixing Machine Monitoring

Hydrogen consumption prediction of a fuel cell based system with a hybrid intelligent approach

Hybrid model for the ANI index prediction using Remifentanil drug and EMG signal

Missing data imputation over academic records of electrical engineering students

Anomaly detection based on one-class intelligent techniques over a control level plant

Comparative Study of Imputation Algorithms Applied to the Prediction of Student Performance

Lithium iron phosphate power cell fault detection system based on hybrid intelligent system

Anomaly detection based on intelligent techniques over a bicomponent production plant used on wind generator blades manufacturing

A novel ensemble Beta-Scale Invariant Map algorithm

Adaptive drug interaction model to predict depth of anesthesia in the operating room

Towards a sustainable campus: working together to achieve the green campus flag on the UDC peripheral campus of Ferrol

Modeling of Energy Demand and Savings Associated with the Use of Epoxy-Phase Change Material Formulations

Electromyogram prediction during anesthesia by using a hybrid intelligent model

Use of a numerical weather prediction model as a meteorological source for the estimation of heating demand in building thermal simulations

Blending learning as an approach in teaching sustainability

Effect of Insulation on the Energy Demand of a Standardized Container Facility at Airports in Spain under Different Weather Conditions

Hybrid Intelligent Modelling in Renewable Energy Sources-Based Microgrid. A Variable Estimation of the Hydrogen Subsystem Oriented to the Energy Management Strategy

Spanish Photovoltaic Solar Energy: Institutional Change, Financial Effects, and the Business Sector

Solar Thermal Collector Output Temperature Prediction by Hybrid Intelligent Model for Smartgrid and Smartbuildings Applications and Optimization

Fuel Cell Hybrid Model for Predicting Hydrogen Inflow through Energy Demand

Resolving Conflict between Parties and Consequences for Foreign Direct Investment: The Repsol-YPF Case in Argentina

Virtual Sensor for Fault Detection, Isolation and Data Recovery for Bicomponent Mixing Machine Monitoring

A Hybrid Intelligent System to forecast solar energy production

Geothermal heat exchanger energy prediction based on time series and monitoring sensors optimization

A fault detection system based on unsupervised techniques for industrial control loops

Special issue HAIS 2015: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems

Special issue HAIS 2014: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems

Special issue on Hybrid Artificial Intelligence Systems from HAIS 2016 Conference

ANÁLISIS DE CONSUMOS ENERGÉTICOS DE AISLANTES TRADICIONALES Y MATERIALES DE CAMBIO DE FASE APLICADOS A CONTENEDORES MARÍTIMOS PARA DESPLIEGUES MILITARES

Multi-criteria risk assessment: Case study of a large hydroelectric project

Modelling the hypnotic patient response in general anaesthesia using intelligent models

Editorial: Special issue CISIS 2016

Short-Term Energy Demand Forecast in Hotels Using Hybrid Intelligent Modeling

A Fault Detection System for a Geothermal Heat Exchanger Sensor Based on Intelligent Techniques

Hybrid intelligent system to predict the output voltage of a hydrogen fuel cell

Fuel Cell Output Current Prediction with a Hybrid Intelligent System

Delving into Android Malware Families with a Novel Neural Projection Method

Bioinspired Hybrid Model to Predict the Hydrogen Inlet Fuel Cell Flow Change of an Energy Storage System

Introduction: Special Issue SOCO 2015

Intelligent Model for Electromyogram (EMG) Signal Prediction During Anesthesia

Compounds with Epoxy Resins and Phase Change Materials for Storage in Solar Applications

Data and calculation approach of the fuzzy AHP risk assessment of a large hydroelectric project

Analysis of key variables for energy efficiency in warships

Special issue SOCO 2014: Recent advancements in soft computing and its application in industrial and environmental problems

Teaching optimization of manufacturing problems via code components of a Jupyter Notebook

Special issue SOCO 2015: Recent advancements in soft computing and its application in industrial and environmental problems

Improving the calibration of building simulation with interpolated weather datasets

ARMADA ESPAÑOLA Y MANTENIMIENTO BASADO EN FIABILIDAD

INTELIGENCIA ARTIFICIAL EN LA INGENIERÍA: PASADO, PRESENTE Y FUTURO

Gaining deep knowledge of Android malware families through dimensionality reduction techniques

Rapid tomographic reconstruction through GPU-based adaptive optics

Use of classifiers and recursive feature elimination to assess boar sperm viability

A Novel Fuzzy Algorithm to Introduce New Variables in the Drug Supply Decision-Making Process in Medicine

Multi-GPU Development of a Neural Networks Based Reconstructor for Adaptive Optics

Hybrid Intelligent System to Predict the Individual Academic Performance of Engineering Students

Novel Formulations of Phase Change Materials¿Epoxy Composites for Thermal Energy Storage

Improving transient thermal simulations of single dwellings using interpolated weather data

Beta Scale Invariant Map

Estudio, medida y mitigación de la concentración de radón en la Escuela Universitaria de Arquitectura Técnica de la Universidade da Coruña

Adaptive fuzzy modeling of the hypnotic process in anesthesia

Evolución del sector eléctrico tras la Segunda Guerra Mundial

Gestión de almacenamiento energético para instalaciones de generación-distribución

El sector eléctrico desde su inicio hasta la segunda guerra mundial

Special Issue CISIS15-IGPL

Editorial: Special Issue HAIS15-IGPL

Hybrid Intelligent System to Perform Fault Detection on BIS Sensor During Surgeries

Radon Mitigation Approach in a Laboratory Measurement Room

Determination of Sr-90 in milk samples from the study of statistical results

Beta Hebbian Learning as a New Method for Exploratory Projection Pursuit

Power Cell SOC Modelling for Intelligent Virtual Sensor Implementation

Special issue SOCO 2015

Recycling COR-TEN® Sea Containers into Service Modules for Military Applications: Thermal Analysis

Frequency domain analysis of surface ECG enables distinction of patients with brugada syndrome

The Sustainable Development Goals: An Experience on Higher Education

Estimation of photovoltaic potential for electricity self-sufficiency: A study case of military facilities in northwest Spain

SPECIAL ISSUE SOCO13-JAL

Recent advancements in hybrid artificial intelligence systems and its application to real-world problems

An intelligent fault detection system for a heat pump installation based on a geothermal heat exchanger

POSIBILIDADES PARA LA GESTIÓN DE ALMACENAMIENTO ENERGÉTICO PARA INSTALACIONES DE GENERACIÓN-DISTRIBUCIÓN

Development of an ICE-Based Micro-CHP System Based on a Stirling Engine; Methodology for a Comparative Study of its Performance and Sensitivity Analysis in Recreational Sailing Boats in Different European Climates

Editorial: Special Issue CISIS14-IGPL

Editorial: SPECIAL ISSUE CISIS13-IGPL

A Hybrid Algorithm for Missing Data Imputation and Its Application to Electrical Data Loggers

Weather datasets generated using kriging techniques to calibrate building thermal simulations with TRNSYS

The influence of parameters variability on biomass selection for energy use

Calibrated simulation of a public library HVAC system with a ground-source heat pump and a radiant floor using TRNSYS and GenOpt

Integration of the free software GenOpt for a thermal engineering course

Special issue SOCO12

The use of grey-based methods in multi-criteria decision analysis for the evaluation of sustainable energy systems: A review

Editorial: Special issue CISIS12-IGPL

Diagnosing a solar volumetric receiver combining NN-based modelling with online parameter identification and rule-based techniques

Editorial: Special issue HAIS12-IGPL

A New Missing Data Imputation Algorithm Applied to Electrical Data Loggers

Special issue HAIS 2012: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems

Combined special issue SOCO 2012-2013: Recent advancements in soft computing and its application in industrial and environmental problems

Bio-inspired model of ground temperature behavior on the horizontal geothermal exchanger of an installation based on a heat pump

Simplified method based on an intelligent model to obtain the extinction angle of the current for a single-phase half wave controlled rectifier with resistive and inductive load

Characterisation and comparison of biomass ashes with different thermal histories using TG-DSC

A Hybrid Regression System Based on Local Models for Solar Energy Prediction

Adaptive Inverse Control Using an Online Learning Algorithm for Neural Networks

In-Line Mixing on Concentration Control Using Computed Multi-Variable Neural Networks Based Techniques

New approach for the QCM sensors characterization

EXPERT SYSTEM DEVELOPMENT TO ASSIST ON THE VERIFICATION OF "TACAN" SYSTEM PERFORMANCE

Missing Data Imputation of Solar Radiation Data under Different Atmospheric Conditions

A Bio-inspired knowledge system for improving combined cycle plant control tuning

Development of an improved dynamic model of a Stirling engine and a performance analysis of a cogeneration plant

CFD analysis of a TG-DSC apparatus

New Climatic Indicators for Improving Urban Sprawl: A Case Study of Tehran City

Energía mareomotriz: perspectiva histórica y estado actual

Biomass Fuel and Combustion Conditions Selection in a Fixed Bed Combustor

Assessment of Solar Irradiation Models in A Coruña by Multifractal Analysis

Detection of locally relevant variables using SOM-NG algorithm

On the monitoring task of solar thermal fluid transfer systems using NN based models and rule based techniques

A hybrid intelligent system for PID controller using in a steel rolling process

Expert condition monitoring on hydrostatic self-levitating bearings

Selected papers from the 6th International Conference on Soft Computing Models in Industrial and Environmental Applications

APPLICATION OF A LOW COST COMMERCIAL ROBOT IN TASKS OF TRACKING OF OBJECTS

UTILIZACIÓN EFECTIVA DE LA ENERGÍA RESIDUAL EN PLANTAS DE PROPULSIÓN MARINA

Data quality assessment and monthly stability of ground solar radiation in Galicia (NW Spain)

A bio-inspired robust controller for a refinery plant process

Neuro-robust controller for non-linear systems

FORMALIZATION AND PRACTICAL IMPLEMENTATION OF A CONCEPTUAL MODEL FOR PID CONTROLLER TUNING

DEVELOPING MAGNETIC BEARINGS FOR SUBSEA OCEANIC ENVIRONMENTS

Comienzos de los sistemas de combate actuales de buques

Monitorización de la degradación de aceites con sensores químicos y polímeros de impronta molecular

Implementación de reguladores en Sistemas Expertos

Oil degradation monitoring with chemical sensors and molecular imprinted polymer

Computed Multi-Variable Control Applied on Viscosity Control by Means of In-line Mixing Control Using Neural Networks

Implementación de reguladores con lógica fuzzy

Los inicios del direccionamiento automático de barcos

Development of a Conceptual Model for a Knowledge-Based System for the Design of Closed-Loop PID Controllers

The Complexity of the Batch Neural Gas Extended to Local PCA

On sensor FDI by functional and physical redundancy applied to DP systems

Sistema basado en conocimiento para analisis de vibraciones en mantenimiento predictivo

Simulación de filtros con el progrma OrCAD

Sintonía de reguladores PID por retroalimentación de relé.

La integración de sistemas en relación con la depuración de aguas residuales.

Tendencias tecnológicas relacionadas con el aprovechamiento de la energía solar

Fault-Recory Strategy on Critic Fault tolerant Control Systems under FF Tecnology

Gobierno automático de buques

Mantenimiento y Prevención; un binomio inquebrantable en mantenimiento eléctrico

Actuador de Reguladores, cargas monofásicas resistivas de baja potenci

Feedforward Compensation based on Process Inverse Model under Foundation Fieldbus.

Utilización de Ingeniería de Conocimiento en un regulador PID para control de procesos no lineales

Los inicios del regulador PID

Métodos de ajuste para reguladores PID en cadena abierta

Implementación de un controlador PID para regular temperatura con microcontrolador

Obtención del modelo de un sistema utilizando redes neuronales

Mantenimiento de instalaciones solares fotovoltaicas

Study in application of natural language processing in Maritime communications

Ajuste empírico de reguladores PID en cadena cerrada con Matlab

Empleo de bloques de filtros en OrCAD

Análisis de redes eléctricas en el mantenimiento de edificaciones

Identificación de sistemas mediante redes neuronales

La transformada de Fourier con OrCAD

Tecnologías emergentes en actuadores

Teoremas de Thevenin y Norton con Orcad

Planteamiento actual del mantenimiento en edificaciones

Importancia del mantenimiento productivo total en la automatización de procesos

Desarrollo de aplicaciones informáticas en entornos inalámbricos. Lenguaje Java 2 Micro Edition

Estudio y utilización del principio de superposición con ORCAD

Tendencias emergentes en mantenimiento de instalaciones: mantenimiento condicional.

Visualización y análisis de la respuesta temporal de sistemas lineales de control expresado en ecuaciones diferenciales con Capture de Orcad.

Mantenimiento condicional; una herramienta del TPM (mantenimiento productivo total).

Implantación del mantenimiento productivo total (TPM)

Análisis frecuencial de sistemas de control

Resolución en el tiempo de sistemas lineales expresados en variable compleja con Orcad

El mantenimiento productivo total (TPM). Una herramienta para la reducción de costes en las empresas.

Automatización de tareas repetitivas para autocad 2000

Adaptación de máquinas a las exigencias de la industria

Analogías entre elementos electrico-electrónicos y dispositivos hidráulicos.

Análisis de circuitos usando el método del punto crítico del circuito del diodo

Analogías entre elementos electrico-electrónicos y dispositivos hidráulicos.

Análisis de circuitos usando el método del punto crítico del circuito del diodo

Gestión de acceso a un servicio

La revolución pendiente. La ingeniería de control aplicada al sector de la pesca

Internet: el paradigma del pionero

Diseño de software orientado a seguridad de control