news
« BACK
Astronomy / Space Science - Computer Science - 25.05.2022 
Cloud computing to unveil the enigmas of our galaxy
The Galactic RainCloudS project, an initiative led by members of the Faculty of Physics , the Institute of Cosmos Sciences ( ICCUB ) and the Institute for Space Studies of Catalonia ( IEEC ), was awarded the first position in the framework of the Cloud Funding for Research call of the European project Open Clouds For Research Environments ( OCRE ).
Computer Science - 18.05.2022 
Two professors develop a new algorithm to uncover patterns of voting behaviour
The professors José M. Pavia from the Universitat of València, and Rafael Romero from the Universitat Politécnica de Valencia, have developed a new algorithm to able to decipher individual electoral behaviour from aggregated data. The new procedure has been published in Sociological Methods and Research, a prestigious journal of social science methodology.
Computer Science - Innovation - 16.05.2022 
A mobile application will compare archaeological materials through their chemical composition
A study led by María Luisa Cervera, Full Professor of Analytical Chemistry at the University of Valencia (UV), concludes that smartphones are a potential tool for comparing archaeological samples. The work has been developed through the ArchaeChemis Research Unit of the institution, in which Gianni Gallello, a researcher from the Department of Prehistory, Archaeology and Ancient History, collaborates, and for the first time the smartphone is considered as a key tool to study vestiges from the past.
Computer Science - Health - 10.02.2022 
New computer vision system designed to analyse cells in microscopy videos
Researchers at the Universidad Carlos III de Madrid (UC3M) have developed a system based on computer vision techniques that allows automatic analysis of biomedical videos captured by microscopy in order to characterise and describe the behaviour of the cells that appear in the images. These new techniques developed by the UC3M engineering team have been used for measurements on living tissues, in research carried out with scientists from the National Centre for Cardiovascular Research (CNIC in its Spanish acronym).
Psychology - Computer Science - 14.12.2021
Health - Computer Science - 01.12.2021 
A new system for analysing thoracic CT scans with deep learning enables COVID-19 lesion detection
A new automated system that involves deep learning technology enables the detection of COVID-19 lesion via the analysis of a computed tomography (CT) scan. This system, described in a study published in the journal Computers in Biology and Medicine, has been carried out by researchers of the UB, the EURECAT Technology Centre of Catalonia, and the Computing Vision Center (CVC).
Computer Science - Life Sciences - 14.10.2021
Computer Science - 01.07.2021
Health - Computer Science - 05.05.2021
Computer Science - Mathematics - 10.03.2021 
Future virtual fitting rooms
Recerca A team of the University of Barcelona and the Computer Vision Center ( CVC ) have carried out CLOTH3D, the first 3D synthetic dataset at a large scale aimed at the development of deep learning to simulate clothes on different body types.
Computer Science
Results 1 - 10 of 10.
The Galactic RainCloudS project, an initiative led by members of the Faculty of Physics , the Institute of Cosmos Sciences ( ICCUB ) and the Institute for Space Studies of Catalonia ( IEEC ), was awarded the first position in the framework of the Cloud Funding for Research call of the European project Open Clouds For Research Environments ( OCRE ).
The professors José M. Pavia from the Universitat of València, and Rafael Romero from the Universitat Politécnica de Valencia, have developed a new algorithm to able to decipher individual electoral behaviour from aggregated data. The new procedure has been published in Sociological Methods and Research, a prestigious journal of social science methodology.
A study led by María Luisa Cervera, Full Professor of Analytical Chemistry at the University of Valencia (UV), concludes that smartphones are a potential tool for comparing archaeological samples. The work has been developed through the ArchaeChemis Research Unit of the institution, in which Gianni Gallello, a researcher from the Department of Prehistory, Archaeology and Ancient History, collaborates, and for the first time the smartphone is considered as a key tool to study vestiges from the past.
Researchers at the Universidad Carlos III de Madrid (UC3M) have developed a system based on computer vision techniques that allows automatic analysis of biomedical videos captured by microscopy in order to characterise and describe the behaviour of the cells that appear in the images. These new techniques developed by the UC3M engineering team have been used for measurements on living tissues, in research carried out with scientists from the National Centre for Cardiovascular Research (CNIC in its Spanish acronym).
Voice assistants could be used for life coaching
Researchers from UPF and the UAB have developed a conversational agent for life coaching with very positive results. Life coaching is a process in which a life coach helps a person to identify and achieve the most important goals for them personally and professionally. The idea is to provide the person with tools and show them attitudes that allow them to take control of their decision and make it a reality.
Researchers from UPF and the UAB have developed a conversational agent for life coaching with very positive results. Life coaching is a process in which a life coach helps a person to identify and achieve the most important goals for them personally and professionally. The idea is to provide the person with tools and show them attitudes that allow them to take control of their decision and make it a reality.
A new automated system that involves deep learning technology enables the detection of COVID-19 lesion via the analysis of a computed tomography (CT) scan. This system, described in a study published in the journal Computers in Biology and Medicine, has been carried out by researchers of the UB, the EURECAT Technology Centre of Catalonia, and the Computing Vision Center (CVC).
Deep-learning-based image analysis is now just a click away
Researchers from the Universidad Carlos III de Madrid (UC3M), the Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), and collaborators in Switzerland and Sweden, have developed a tool, called deepImageJ. The tools processes and analyses using models based on artificial intelligence biomedical images (for example, acquired with microscopes or radiological scanners), improving their quality or identifying and classifying specific elements in them, among other tasks.
Researchers from the Universidad Carlos III de Madrid (UC3M), the Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), and collaborators in Switzerland and Sweden, have developed a tool, called deepImageJ. The tools processes and analyses using models based on artificial intelligence biomedical images (for example, acquired with microscopes or radiological scanners), improving their quality or identifying and classifying specific elements in them, among other tasks.
A new framework to improve the performance and flexibility of supercomputing
Researchers from the European research project ASPIDE, coordinated by the Universidad Carlos III de Madrid (UC3M), have created a tool and utility pack for high-performance software developers to improve performance and flexibility when creating applications within the supercomputing industry. As a result, they have accelerated massive data processing in mobile telephony industries, the diagnosis of mental illnesses and the detection of parasites in beehives, among other fields.
Researchers from the European research project ASPIDE, coordinated by the Universidad Carlos III de Madrid (UC3M), have created a tool and utility pack for high-performance software developers to improve performance and flexibility when creating applications within the supercomputing industry. As a result, they have accelerated massive data processing in mobile telephony industries, the diagnosis of mental illnesses and the detection of parasites in beehives, among other fields.
Artificial intelligence identifies the tiger mosquito from the photos received in the Mosquito Alert app
Artificial intelligence, combined with citizen science, will provide real-time detection of the tiger mosquito on a large scale and, as a result, will allow faster control of this disease transmitter. The deep learning algorithm that has been trained with more than 7,000 anonymous photographs received in the Mosquito Alert app between 2015 and 2019, is able to correctly identify 96% of tiger mosquito photographs.
Artificial intelligence, combined with citizen science, will provide real-time detection of the tiger mosquito on a large scale and, as a result, will allow faster control of this disease transmitter. The deep learning algorithm that has been trained with more than 7,000 anonymous photographs received in the Mosquito Alert app between 2015 and 2019, is able to correctly identify 96% of tiger mosquito photographs.
Recerca A team of the University of Barcelona and the Computer Vision Center ( CVC ) have carried out CLOTH3D, the first 3D synthetic dataset at a large scale aimed at the development of deep learning to simulate clothes on different body types.
