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Computer Science - Environment - 12.01.2023
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Computer Science
Results 1 - 13 of 13.
Novel system to predict severe hurricanes using Artificial Intelligence
A team from the University of Valencia develops a novel system to predict severe hurricanes using Artificial Intelligence A research team from the Image Processing Laboratory (IPL) of the University of Valencia has developed a system that allows to optimally analyse and combinie certain structural parameters of the hurricane clouds from GOES satellite images.
A team from the University of Valencia develops a novel system to predict severe hurricanes using Artificial Intelligence A research team from the Image Processing Laboratory (IPL) of the University of Valencia has developed a system that allows to optimally analyse and combinie certain structural parameters of the hurricane clouds from GOES satellite images.
Bacteria taught to ’read’ Morse code signals
A project of the Institute for Integrative Systems Biology (I2SysBio, UV-CSIC) researches genetically modified bacteria so that they learn to decode a message.
A project of the Institute for Integrative Systems Biology (I2SysBio, UV-CSIC) researches genetically modified bacteria so that they learn to decode a message.
A research identifies gender biases in Internet algorithms and proposes specific training to eliminate them
A research led by the Open University of Catalonia (UOC) and with the participation of researchers from the University of Valencia (UV), the Polytechnic University of Valencia (UPV) and the Polytechnic University of Catalonia (UPC), among other centres, proposes measures to eliminate gender bias in Internet algorithms.
A research led by the Open University of Catalonia (UOC) and with the participation of researchers from the University of Valencia (UV), the Polytechnic University of Valencia (UPV) and the Polytechnic University of Catalonia (UPC), among other centres, proposes measures to eliminate gender bias in Internet algorithms.
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 ).
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 ).
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.
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 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.
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.
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).
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 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).
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.
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.
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.
Materials Science - Today
Graphenano and the University of Valencia make an impact in the battery sector by developing the first cell made without metals
Graphenano and the University of Valencia make an impact in the battery sector by developing the first cell made without metals
Career - Jan 26
The University of Valencia and Labora present two reports on the situation of teleworking and employment on digital platforms
The University of Valencia and Labora present two reports on the situation of teleworking and employment on digital platforms

Life Sciences - Jan 24
Montserrat Aguadé receives the Gold Medal for scientific merit from Barcelona City Council
Montserrat Aguadé receives the Gold Medal for scientific merit from Barcelona City Council

Health - Jan 24
A European digital infrastructure for cancer imaging is launched to improve its medical treatment and research
A European digital infrastructure for cancer imaging is launched to improve its medical treatment and research

Environment - Jan 19
The University of Valencia participates in the program that unites science and politics in the face of the challenges of the green transition and sustainability
The University of Valencia participates in the program that unites science and politics in the face of the challenges of the green transition and sustainability