UNEATLANTICO improves performance of post-quantum cryptography encryption algorithms
Dr. Ernesto Bautista Thompson, a researcher at the Universidad Europea del Atlántico (European University of the Atlantic, UNEATLANTICO), is collaborating in a study that improves the resilience of post-quantum cryptography key encapsulation algorithms.
UNEATLANTICO studies the impact of human resources management on a company’s performance
Dr. Marco Antonio Rojo and Professor Mirtha Silvana Garat, researchers from the Universidad Europea del Atlántico (European University of the Atlantic, UNEATLANTICO), collaborate in a study on the effect of innovative human resources management practices on a company's performance.
UNEATLANTICO studies the potential of integrating blockchain and machine learning
Dr. Emmanuel Soriano Flores, researcher at the Universidad Europea del Atlántico (European University of the Atlantic, UNEATLANTICO), analyzes the potential of the combination of two cutting-edge technologies: blockchain and machine learning (ML) together with other researchers.
Part of CLINICALSIM project consortium meets to organize work packages
The Universidad Europea del Atlántico (European University of the Atlantic, UNEATLANTICO), leader of the Erasmus Plus project Clinical simulation practice-based learning in nursing (CLINICALSIM), has recently met with other European institutions participating in the initiative to agree on how to carry out the different work packages.
UNEATLANTICO researchers collaborate in a study on cost and effort estimation techniques in software projects
The director of the Higher Polytechnic School and researcher at the Universidad Europea del Atlántico (European University of the Atlantic, UNEATLANTICO), Dr. Manuel Masías Vergara, and UNEATLANTICO researcher, Ernesto Bautista Thompson, collaborate in a study that analyzes and compares the evolution of cost and effort estimation techniques in software projects.
UNEATLANTICO researchers assess the influence of business innovation on company performance.
Researchers from the Universidad Europea del Atlántico (European University of the Atlantic, UNEATLANTICO) collaborate on a study to identify the factors that impact business innovation and evaluate the impact of innovation on business performance.
UNEATLANTICO presents a neural network-based lemmatization model for the Urdu language
Researchers of the Universidad Europea del Atlántico (European University of the Atlantic, UNEATLANTICO) collaborate with the Universidad Internacional Iberoamerican (International Iberoamerican University, UNIB) on a study that presents a lemmatization algorithm for the Urdu language.
UNEATLANTICO teachers, Josep Alemany and Álvaro Velarde, publish a study on the training of basketball coaches in Cantabria
The professors of the Universidad Europea del Atlántico (European University of the Atlantic, UNEATLANTICO) Josep Alemany, academic director of the Degree in Primary Education and of the University Master's Degree in Teacher Training for Compulsory Secondary and Bachelor's Education, Vocational Training and Language Teaching, and Dr. Álvaro Velarde, teacher,researcher, and academic coordinator of Postgraduate Studies in the Sports Area, publish a research on the influence of e-learning training on the acquisition of skills in basketball coaches in Cantabria.
Vicente Bayarri, professor at UNEATLANTICO, published as co-author in two prestigious scientific journals
Dr. Vicente Bayarri Cayón, professor at the Higher Polytechnic School of the Universidad Europea del Atlántico (European University of the Atlantic, UNEATLANTICO), has participated in the authorship of two scientific articles that have been published in different relevant media.
UNEATLANTICO studies how Alzheimer’s affects the brain using machine learning approaches
The director of the degree in Human Nutrition and Dietetics, Iñaki Elío, and the researcher of the Universidad Europea del Atlántico (European University of the Atlantic, UNEATLANTICO), Mercedes Briones, are participating in a study that analyzes how Alzheimer's affects different parts of the brain at each stage of the disease using machine learning.