Dr. José Luis Calvo Rolle  

A novel intelligent approach for man-in-the-middle attacks detection over internet of things environments based on message queuing telemetry transport

A Hybrid Intelligent Modeling approach for predicting the solar thermal panel energy production

Dynamic Malware Mitigation Strategies for IoT Networks: A Mathematical Epidemiology Approach

Beta-Hebbian Learning to enhance unsupervised exploratory visualizations of Android malware families

Beta Hebbian Learning for intrusion detection in networks with MQTT Protocols for IoT devices

Data dimensionality reduction for an optimal switching mode classification applied to a step-down power converter

Clustering techniques performance comparison for predicting the battery state of charge: A hybrid model approach

Novel adaptive approach for anomaly detection in nonlinear and time-varying industrial systems

Multi-agent reinforcement learning based algorithm detection of malware-infected nodes in IoT networks

An Intelligent Regression-Based Approach for Predicting a Geothermal Heat Exchanger¿s Behavior in a Bioclimatic House Context

Past five years on strategies and applications in hybrid brain storm optimization algorithms: a review

A One-Class-Based Supervision System to Detect Unexpected Events in Wastewater Treatment Plants

Editorial: Special issue ISA 2023

A review and future trends of precision livestock over dairy and beef cow cattle with artificial intelligence

Evaluation of One-Class Techniques for Early Estrus Detection on Galician Intensive Dairy Cow Farm Based on Behavioral Data From Activity Collars

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

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

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

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

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

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

Gasificación de biomasa

Gestión de la energía en sistemas renovables híbridos

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

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

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

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

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

A distributed topology for identifying anomalies in an industrial environment

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

Special Issue 'Applications of Artificial Intelligence Systems'

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

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

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

Intelligent Model for Power Cells State of Charge Forecasting in EV

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

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

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

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

A hybrid intelligent classifier for anomaly detection

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

An Application of a Hybrid Intelligent System for Diagnosing Primary Headaches

Recent advances in the application of data science to industrial cybersecurity

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

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

Virtual Sensors and Anomaly Detection

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

Electromyogram prediction during anesthesia by using a hybrid intelligent model

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

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

Missing data imputation over academic records of electrical engineering students

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

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

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

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

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

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

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

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

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

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

Modelling the hypnotic patient response in general anaesthesia using intelligent models

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

Fuel Cell Output Current Prediction with a Hybrid Intelligent System

Intelligent Model for Electromyogram (EMG) Signal Prediction During Anesthesia

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

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

Delving into Android Malware Families with a Novel Neural Projection Method

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

A Hybrid Intelligent System to forecast solar energy production

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

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

Fuel Cell Hybrid Model for Predicting Hydrogen Inflow through Energy Demand

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

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

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

Adaptive fuzzy modeling of the hypnotic process in anesthesia

El sector eléctrico desde su inicio hasta la segunda guerra mundial

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

Gestión de almacenamiento energético para instalaciones de generación-distribución

Evolución del sector eléctrico tras la Segunda Guerra Mundial

Radon Mitigation Approach in a Laboratory Measurement Room

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

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

Power Cell SOC Modelling for Intelligent Virtual Sensor Implementation

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

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

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

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

Special issue SOCO12

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

A New Missing Data Imputation Algorithm Applied to Electrical Data Loggers

New approach for the QCM sensors characterization

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

Missing Data Imputation of Solar Radiation Data under Different Atmospheric Conditions

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

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

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

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

Adaptive Inverse Control Using an Online Learning Algorithm for Neural Networks

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

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

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

Expert condition monitoring on hydrostatic self-levitating bearings

Detection of locally relevant variables using SOM-NG algorithm

Energía mareomotriz: perspectiva histórica y estado actual

A bio-inspired robust controller for a refinery plant process

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

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

UTILIZACIÓN EFECTIVA DE LA ENERGÍA RESIDUAL EN PLANTAS DE PROPULSIÓN MARINA

Neuro-robust controller for non-linear systems

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

Comienzos de los sistemas de combate actuales de buques

Implementación de reguladores con lógica fuzzy

Implementación de reguladores en Sistemas Expertos

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

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

Oil degradation monitoring with chemical sensors and molecular imprinted polymer

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

Los inicios del direccionamiento automático de barcos

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

The Complexity of the Batch Neural Gas Extended to Local PCA

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

Gobierno automático de buques

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

Simulación de filtros con el progrma OrCAD

Sintonía de reguladores PID por retroalimentación de relé.

Sistema basado en conocimiento para analisis de vibraciones en mantenimiento predictivo

Tendencias tecnológicas relacionadas con el aprovechamiento de la energía solar

Actuador de Reguladores, cargas monofásicas resistivas de baja potenci

Los inicios del regulador PID

Mantenimiento y Prevención; un binomio inquebrantable en mantenimiento eléctrico

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

Ajuste empírico de reguladores PID en cadena cerrada con Matlab

Empleo de bloques de filtros en OrCAD

Implementación de un controlador PID para regular temperatura con microcontrolador

Mantenimiento de instalaciones solares fotovoltaicas

Métodos de ajuste para reguladores PID en cadena abierta

Obtención del modelo de un sistema utilizando redes neuronales

Análisis de redes eléctricas en el mantenimiento de edificaciones

Identificación de sistemas mediante redes neuronales

La transformada de Fourier con OrCAD

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

Estudio y utilización del principio de superposición con ORCAD

Importancia del mantenimiento productivo total en la automatización de procesos

Planteamiento actual del mantenimiento en edificaciones

Tecnologías emergentes en actuadores

Teoremas de Thevenin y Norton con Orcad

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).

Tendencias emergentes en mantenimiento de instalaciones: mantenimiento condicional.

Implantación del mantenimiento productivo total (TPM)

Adaptación de máquinas a las exigencias de la industria

Analogías entre elementos electrico-electrónicos y dispositivos hidráulicos.

Analogías entre elementos electrico-electrónicos y dispositivos hidráulicos.

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

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

Automatización de tareas repetitivas para autocad 2000

Gestión de acceso a un servicio

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

Análisis frecuencial de sistemas de control

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

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