Manuel Pegalajar

Manuel Pegalajar

Universidad de Granada

H-index: 21

Europe-Spain

About Manuel Pegalajar

Manuel Pegalajar, With an exceptional h-index of 21 and a recent h-index of 16 (since 2020), a distinguished researcher at Universidad de Granada, specializes in the field of inteligencia artificial, sistemas inteligentes.

His recent articles reflect a diverse array of research interests and contributions to the field:

An Application of Fuzzy Symbolic Time-Series for Energy Demand Forecasting

End-to-End Ultrasonic Hand Gesture Recognition

LaANIL: ANIL with Look-Ahead Meta-Optimization and Data Parallelism

Brain-Inspired Agents for Quantum Reinforcement Learning

Concept logic trees: enabling user interaction for transparent image classification and human-in-the-loop learning

A Novel Non-Intrusive Load Monitoring Algorithm for Unsupervised Disaggregation of Household Appliances

An Intelligent Approach Using Machine Learning Techniques to Predict Flow in People

A parsimonious methodological framework for short-term forecasting of groundwater levels

Manuel Pegalajar Information

University

Position

___

Citations(all)

1996

Citations(since 2020)

1081

Cited By

787

hIndex(all)

21

hIndex(since 2020)

16

i10Index(all)

36

i10Index(since 2020)

25

Email

University Profile Page

Universidad de Granada

Google Scholar

View Google Scholar Profile

Manuel Pegalajar Skills & Research Interests

inteligencia artificial

sistemas inteligentes

Top articles of Manuel Pegalajar

Title

Journal

Author(s)

Publication Date

An Application of Fuzzy Symbolic Time-Series for Energy Demand Forecasting

International Journal of Fuzzy Systems

David Criado-Ramón

LGB Ruiz

MC Pegalajar

2024/1/25

End-to-End Ultrasonic Hand Gesture Recognition

Sensors

Elfi Fertl

Do Dinh Tan Nguyen

Martin Krueger

Georg Stettinger

Rubén Padial-Allué

...

2024/4/25

LaANIL: ANIL with Look-Ahead Meta-Optimization and Data Parallelism

Electronics

Vasu Tammisetti

Kay Bierzynski

Georg Stettinger

Diego P Morales-Santos

Manuel Pegalajar Cuellar

...

2024/4/22

Brain-Inspired Agents for Quantum Reinforcement Learning

Mathematics

Eva Andrés

Manuel Pegalajar Cuéllar

Gabriel Navarro

2024/4/19

Concept logic trees: enabling user interaction for transparent image classification and human-in-the-loop learning

Applied Intelligence

David M Rodríguez

Manuel P Cuéllar

Diego P Morales

2024/2/21

A Novel Non-Intrusive Load Monitoring Algorithm for Unsupervised Disaggregation of Household Appliances

Information

David Criado-Ramón

LGB Ruiz

JRS Iruela

MC Pegalajar

2024/2/5

An Intelligent Approach Using Machine Learning Techniques to Predict Flow in People

María Del Carmen Pegalajar Jiménez

Luis Gonzaga Baca Ruiz

2023/4/4

A parsimonious methodological framework for short-term forecasting of groundwater levels

Science of the Total Environment

Antonio Juan Collados-Lara

David Pulido-Velazquez

LGB Ruiz

María del Carmen Pegalajar

Eulogio Pardo-Igúzquiza

...

2023/7/10

On the fusion of soft-decision-trees and concept-based models

Available at SSRN 4402768

David Morales Rodríguez

Manuel Pegalajar Cuellar

Diego P Morales

2023

Comparison of Approaches for Gesture Recognition with MEMS Ultrasonic Transducers

Elfi Fertl

Maryna Shcherbak

Martin Krüger

Encarnación Castillo Morales

Manuel Pegalajar Cuéllar

...

2023/3/28

Time series forecasting with quantum neural networks

MP Cuéllar

MC Pegalajar

LGB Ruiz

C Cano

2023/6/19

CUDA-bigPSF: an optimized version of bigPSF accelerated with graphics processing Unit

Expert Systems with Applications

David Criado-Ramón

LBG Ruiz

MC Pegalajar

2023/11/15

AirLoop: A simulation framework for testing of UAV services

IEEE Access

Jessica Giovagnola

Juan B Moro Megías

Miguel Molina Fernández

Manuel Pegalájar Cuéllar

Diego P Morales Santos

2023/3/6

Multisensor Avionics Architecture for BVLOS Drone Services

Journal of Physics: Conference Series

Jessica Giovagnola

Miguel Molina Fernandez

Roman Beneder

Patrick Schmitt

Manuel Pegalajar Cuellar

...

2023/6/1

Application of Fuzzy and Conventional Forecasting Techniques to Predict Energy Consumption in Buildings

International Journal of Intelligent Systems

Amparo Cabrera

LGB Ruiz

David Criado-Ramón

CD Barranco

MC Pegalajar

2023/9/27

Advances in Energy Efficiency through Neural-Network-Based Models

Luis Gonzaga Baca Ruiz

María Del Carmen Pegalajar Jiménez

2023/2/27

Teoría de Códigos en práctica: Del aula a la implementación hardware con fines industriales

Manuel Pegalajar Cuéllar

2023/5/18

Study of violence against women and its characteristics through the application of text mining techniques

International Journal of Data Science and Analytics

EMA Stephanie

LGB Ruiz

MA Vila

MC Pegalajar

2023/9/14

Munsell Soil Colour Classification Using Smartphones through a Neuro-Based Multiclass Solution

María Del Carmen Pegalajar Jiménez

Luis Gonzaga Baca Ruiz

2023/2/10

An Improved Pattern Sequence-Based Energy Load Forecast Algorithm Based on Self-Organizing Maps and Artificial Neural Networks

Big Data and Cognitive Computing

David Criado-Ramón

LGB Ruiz

MC Pegalajar

2023/5/10

See List of Professors in Manuel Pegalajar University(Universidad de Granada)

Co-Authors

H-index: 58
M. Delgado

M. Delgado

Universidad de Granada

H-index: 51
Luis Fermin Capitan-Vallvey

Luis Fermin Capitan-Vallvey

Universidad de Granada

H-index: 37
Mihail Popescu

Mihail Popescu

University of Missouri

H-index: 36
Alberto J Palma

Alberto J Palma

Universidad de Granada

H-index: 32
Derek T. Anderson

Derek T. Anderson

Mississippi State University

H-index: 23
María del Carmen Pegalajar Jiménez

María del Carmen Pegalajar Jiménez

Universidad de Granada

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