J. M. Lanza-Gutiérrez

发表

J. Gómez-Pulido, M. Ferreira, S. Priem-Mendes, 2015 .

Bindi: Affective Internet of Things to Combat Gender-Based Violence

J. A. Miranda, Carmen Peláez-Moreno, J. M. Lanza-Gutiérrez, 2022, IEEE Internet of Things Journal.

Studying the multiobjective variable neighbourhood search algorithm when solving the relay node placement problem in Wireless Sensor Networks

J. Gómez-Pulido, J. M. Lanza-Gutiérrez, 2015, Soft Computing.

A multi-objective network design for real traffic models of the internet by means of a parallel framework for solving NP-hard problems

Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan M. Sánchez-Pérez, 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

A Hybrid Data Fusion Architecture for BINDI: A Wearable Solution to Combat Gender-Based Violence

Carmen Peláez-Moreno, Celia López-Ongil, José Manuel Lanza-Gutiérrez, 2020, MCSS.

Fear Recognition for Women Using a Reduced Set of Physiological Signals

Marta Portela-García, Celia López-Ongil, José Manuel Lanza-Gutiérrez, 2021, Sensors.

Optimizing Energy Consumption in Heterogeneous Wireless Sensor Networks by Means of Evolutionary Algorithms

Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan M. Sánchez-Pérez, 2012, EvoApplications.

Exploring Further Advantages in an Alternative Formulation for the Set Covering Problem

Broderick Crawford, Juan A. Gómez-Pulido, Fernando Paredes, 2020 .

A New Realistic Approach for the Relay Node Placement Problem in Wireless Sensor Networks by Means of Evolutionary Computation

Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, José Manuel Lanza-Gutiérrez, 2015, Ad Hoc Sens. Wirel. Networks.

Energy Prediction of Access Points in Wi-Fi Networks According to Users’ Behaviour

Broderick Crawford, Juan A. Gómez-Pulido, Ricardo Soto, 2017 .

Context-aware prediction of access points demand in Wi-Fi networks

Juan Antonio Gómez Pulido, José Manuel Lanza-Gutiérrez, Ramón Ángel Fernández Díaz, 2017, Comput. Networks.

Multi-objective evolutionary algorithms for energy-efficiency in heterogeneous wireless sensor networks

J. M. Lanza-Gutierrez, J. A. Gomez-Pulido, M. A. Vega-Rodriguez, 2012, 2012 IEEE Sensors Applications Symposium Proceedings.

A New Metaheuristic Inspired by the Vapour-Liquid Equilibrium for Continuous Optimization

Enrique Cortés-Toro, Broderick Crawford, Juan A. Gómez-Pulido, 2018, Applied Sciences.

Analyzing the effects of binarization techniques when solving the set covering problem through swarm optimization

Broderick Crawford, Juan Antonio Gómez Pulido, Ricardo Soto, 2017, Expert Syst. Appl..

A condition-based maintenance of a dependent degradation-threshold-shock model in a system with multiple degradation processes

Inmaculada Torres Castro, Carlos J. Perez, José Manuel Lanza-Gutiérrez, 2015, Reliab. Eng. Syst. Saf..

Data Analytics and Machine Learning in Education

J. Gómez-Pulido, J. M. Lanza-Gutiérrez, Y. Park, 2023, Applied Sciences.

Toward a Robust Multi-Objective Metaheuristic for Solving the Relay Node Placement Problem in Wireless Sensor Networks

Broderick Crawford, Juan Antonio Gómez Pulido, Ricardo Soto, 2019, Sensors.

Assuming multiobjective metaheuristics to solve a three-objective optimisation problem for Relay Node deployment in Wireless Sensor Networks

Juan Antonio Gómez Pulido, José Manuel Lanza-Gutiérrez, J. M. Lanza-Gutiérrez, 2015, Appl. Soft Comput..

Applying an Electromagnetism-Like Algorithm for Solving the Manufacturing Cell Design Problem

Broderick Crawford, Juan A. Gómez-Pulido, Jose M. Lanza-Gutierrez, 2017 .

Q-Learnheuristics: Towards Data-Driven Balanced Metaheuristics

Broderick Crawford, Ricardo Soto, Gino Astorga, 2021, Mathematics.

Solving the Manufacturing Cell Design Problem through an Autonomous Water Cycle Algorithm

Broderick Crawford, Jose M. Lanza-Gutierrez, Ricardo Soto, 2019, Applied Sciences.

A Machine-Learning-Based Distributed System for Fault Diagnosis With Scalable Detection Quality in Industrial IoT

Jose M. Lanza-Gutierrez, Eduardo de la Torre, Jorge Portilla, 2021, IEEE Internet of Things Journal.

A Novel Data Processing Technique for Expert Resonant Nano-Pillars Transducers: A Case Study Measuring Ethanol in Water and Wine Liquid Matrices

Jose M. Lanza-Gutierrez, Teresa Riesgo, Miguel Holgado, 2019, IEEE Access.

Towards an Machine Learning-Based Edge Computing Oriented Monitoring System for the Desert Border Surveillance Use Case

Jose M. Lanza-Gutierrez, Teresa Riesgo, Rodrigo Marino, 2020, IEEE Access.

Meaningful Data Treatment from Multiple Physiological Sensors in a Cyber-Physical System

Jose M. Lanza-Gutierrez, Marta Portela-Garcia, Celia Lopez-Ongil, 2017 .

Comparison Between Stochastic Gradient Descent and VLE Metaheuristic for Optimizing Matrix Factorization

Enrique Cortés-Toro, Broderick Crawford, Juan Antonio Gómez Pulido, 2020, OLA.

Studying the multiobjective variable neighbourhood search algorithm when solving the relay node placement problem in Wireless Sensor Networks

Juan Antonio Gómez Pulido, José Manuel Lanza-Gutiérrez, J. M. Lanza-Gutiérrez, 2016, Soft Comput..

A gravitational search algorithm for solving the relay node placement problem in wireless sensor networks

Juan Antonio Gómez Pulido, José Manuel Lanza-Gutiérrez, J. M. Lanza-Gutiérrez, 2017, Int. J. Commun. Syst..

Planning the Deployment of Indoor Wireless Sensor Networks Through Multiobjective Evolutionary Techniques

Juan Antonio Gómez Pulido, José Manuel Lanza-Gutiérrez, Silvio Priem-Mendes, 2015, EvoApplications.

A Trajectory-Based Heuristic to Solve a Three-Objective Optimization Problem for Wireless Sensor Network Deployment

Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, José Manuel Lanza-Gutiérrez, 2014, EvoApplications.

Relay Node Positioning in Wireless Sensor Networks by Means of Evolutionary Techniques

Miguel A. Vega-Rodríguez, Juan Antonio Gómez Pulido, Juan M. Sánchez-Pérez, 2012, AIS.

Toward Fear Detection using Affect Recognition

Celia López-Ongil, Marta Portela-García, Jose A. Miranda, 2019, 2019 XXXIV Conference on Design of Circuits and Integrated Systems (DCIS).

Fine-grained parallelization of fitness functions in bioinformatics optimization problems: gene selection for cancer classification and biclustering of gene expression data

Broderick Crawford, Juan Antonio Gómez Pulido, Ricardo Soto, 2016, BMC Bioinformatics.

Hardware Accelerator for Ethanol Detection in Water Media based on Machine Learning Techniques

Eduardo de la Torre, Teresa Riesgo, Miguel Holgado, 2019, 2019 XXXIV Conference on Design of Circuits and Integrated Systems (DCIS).

Design Space Exploration for PCA Implementation of Embedded Learning in FPGAs

T. Riesgo, M. Holgado, J. M. Lanza-Gutiérrez, 2018, ISCAS.