Explanipedia

Are Barcelona's Climate Shelters Accessible to Vulnerable Residents? A Mobility Justice Analysis Open

Serena Mombelli, Roger March, Fernando Cucchietti, Ersilia Verlinghieri, Patricio Reyes · 2025

Machine Learning methodologies for identifying atmospheric deep convective events in ERA5 Open

Alberto Sánchez-Marroquín, Jordi Barcons Roca, Omjyoti Dutta, Iciar Guerrero-Calzas, L. Rossetto , et al. · 2024

Atmospheric deep convection can occur when the warming of the Earth’s surfaceby solar radiation leads to buoyant plumes that break through the mixed layer andproduce vertical clouds reaching the tropopause. This phenomenon is associa…

When are they coming? Understanding and forecasting the timeline of arrivals at the FC Barcelona stadium on match days Open

Feliu Serra-Burriel, Pedro Delicado, Fernando Cucchietti, Eduardo Graells-Garrido, A. Ortiz Gil , et al. · 2024

Futbol Club Barcelona operates the largest stadium in Europe (with a seating capacity of almost one hundred thousand people) and manages recurring sports events. These are influenced by multiple conditions (time and day of the week, weathe…

Analysing environmental opinion using highly customisable visualisation tools to understand citizens’ attitudes and barriers Open

Luz Calvo, Marta Terrado, Mario Pérez‐Montoro, Diana F. Vélez, Fernando Cucchietti · 2024

Models and explanatory variables in modelling failure for drinking water pipes to support asset management: a mixed literature review Open

Edwar Forero-Ortiz, Eduardo Martínez, Martí Sánchez‐Juny, Jaume Cardus Gonzalez, Fernando Cucchietti , et al. · 2023

There is an increasing demand to enhance infrastructure asset management within the drinking water sector. A key factor for achieving this is improving the accuracy of pipe failure prediction models. Machine learning-based models have emer…

Development, validation, and prognostic evaluation of a risk score for long-term liver-related outcomes in the general population: a multicohort study Open

Miquel Serra‐Burriel, Adrià Juanola, Feliu Serra-Burriel, Maja Thiele, Isabel Graupera , et al. · 2023

Correction: LiverScreen project: study protocol for screening for liver fibrosis in the general population in European countries Open

Isabel Graupera, Maja Thiele, Ann T., Miquel Serra‐Burriel, Judit Pich , et al. · 2023

A Holistic Scalability Strategy for Time Series Databases Following Cascading Polyglot Persistence Open

Carlos García Calatrava, Yolanda Becerra Fontal, Fernando Cucchietti · 2022

Time series databases aim to handle big amounts of data in a fast way, both when introducing new data to the system, and when retrieving it later on. However, depending on the scenario in which these databases participate, reducing the num…

LiverScreen project: study protocol for screening for liver fibrosis in the general population in European countries Open

Isabel Graupera, Maja Thiele, Ann T., Miquel Serra‐Burriel, Judit Pich , et al. · 2022

A physiology-inspired framework for holistic city simulations Open

Irene Meta, Fernando Cucchietti, Diego Navarro-Mateu, Eduardo Graells-Garrido, Vicente Guallart · 2022

Life, services and activities within cities have commonly been studied by separate disciplines, each one independent from the others. One such approach is the computer simulation, which enables in-depth modelling and cost-effective evaluat…

Analysing Social Opinion on the Environment Using Highly Customizable Visualisation Tools: Understanding Behaviours and Barriers Open

Luz Calvo, Fernando Cucchietti, Diana F. Vélez, Mario Pérez‐Montoro · 2022

Introducing Polyglot-Based Data-Flow Awareness to Time-Series Data Stores Open

Carlos García Calatrava, Yolanda Becerra, Fernando Cucchietti · 2022

The rising interest in extracting value from data has led to a broad proliferation of monitoring infrastructures, most notably composed by sensors, intended to collect this new oil. Thus, gathering data has become fundamental for a great n…

Estimating heterogeneous wildfire effects using synthetic controls and satellite remote sensing Open

Feliu Serra-Burriel, Pedro Delicado, Andrew T. Prata, Fernando Cucchietti · 2021

NagareDB: A Resource-Efficient Document-Oriented Time-Series Database Open

Carlos García Calatrava, Yolanda Becerra Fontal, Fernando Cucchietti, Carla Diví Cuesta · 2021

The recent great technological advance has led to a broad proliferation of Monitoring Infrastructures, which typically keep track of specific assets along time, ranging from factory machinery, device location, or even people. Gathering thi…

Users’ Cognitive Load: A Key Aspect to Successfully Communicate Visual Climate Information Open

Luz Calvo, Isadora Christel, Marta Terrado, Fernando Cucchietti, Mario Pérez‐Montoro · 2021

The visual communication of climate information is one of the cornerstones of climate services. It often requires the translation of multidimensional data to visual channels by combining colors, distances, angles, and glyph sizes. However,…

A physiology-inspired framework for holistic city simulations Open

Irene Meta, Fernando Cucchietti, Diego Navarro, Eduardo Graells-Garrido, Vicente Guallart · 2021

Life, services and activities within cities have commonly been studied by separate disciplines, each one independent from the others. One such approach is the computer simulation, which enables in-depth modelling and cost-effective evaluat…

Wildfires Vegetation Recovery through Satellite Remote Sensing and Functional Data Analysis Open

Feliu Serra-Burriel, Pedro Delicado, Fernando Cucchietti · 2021

In recent years, wildfires have caused havoc across the world, which are especially aggravated in certain regions due to climate change. Remote sensing has become a powerful tool for monitoring fires, as well as for measuring their effects…

Wildfires Vegetation Recovery through Satellite Remote Sensing and Functional Data Analysis Open

Feliu Serra-Burriel, Pedro Delicado, Fernando Cucchietti · 2021

In recent years, wildfires have caused havoc across the world, which are especially aggravated in certain regions due to climate change. Remote sensing has become a powerful tool for monitoring fires, as well as for measuring their effects…

Wildfires vegetation recovery through satellite remote sensing and\n Functional Data Analysis Open

Feliu Serra-Burriel, Pedro Delicado, Fernando Cucchietti · 2021

In recent years wildfires have caused havoc across the world, especially\naggravated in certain regions, due to climate change. Remote sensing has become\na powerful tool for monitoring fires, as well as for measuring their effects on\nveg…

The Camp Nou Stadium as a Testbed for City Physiology: A Modular Framework for Urban Digital Twins Open

Irene Meta, Feliu Serra-Burriel, José C. Carrasco-Jiménez, Fernando Cucchietti, Carla Diví-Cuesta , et al. · 2021

In this paper, the Camp Nou stadium is used as a testbed for City Physiology, a theoretical framework for urban digital twins. With this case study, the modularity and adaptability of the framework, originally intended for city‐scale simul…

Estimating heterogeneous wildfire effects using synthetic controls and\n satellite remote sensing Open

Feliu Serra-Burriel, Pedro Delicado, Andrew T. Prata, Fernando Cucchietti · 2020

Wildfires have become one of the biggest natural hazards for environments\nworldwide. The effects of wildfires are heterogeneous, meaning that the\nmagnitude of their effects depends on many factors such as geographical region,\nclimate an…

Detection of Anomalous Patterns in Water Consumption: An Overview of Approaches Open

José C. Carrasco-Jiménez, Filippo Baldaro, Fernando Cucchietti · 2020

#Cuéntalo 2018/04/27 to 2018/05/13 Open

Aniol Maria, Fernando Cucchietti · 2020

Tweet IDs published in 2018 with hashtag #Cuéntalo from April 27th to May 13th.

Predictive Analytics for Water Asset Management: Machine Learning and Survival Analysis Open

Maryam Rahbaralam, David Modesto, J. Cardús, Amir Abdollahi, Fernando Cucchietti · 2020

Understanding performance and prioritizing resources for the maintenance of the drinking-water pipe network throughout its life-cycle is a key part of water asset management. Renovation of this vital network is generally hindered by the di…

Towards integrated urban simulations Open

Irene Meta, Fernando Cucchietti · 2020

More than half of the world population lives in urban areas. \nUrbanites are estimated to grow up to 68% of the population \nby 2050 [1]. This rapid growth requires new contributions from \nresearchers and policy-makers to the development …

Measuring Spatial Subdivisions in Urban Mobility with Mobile Phone Data Open

Eduardo Graells-Garrido, Irene Meta, Feliu Serra-Burriel, Patricio Reyes, Fernando Cucchietti · 2020

Urban population grows constantly. By 2050 two thirds of the world population will reside in urban areas. This growth is faster and more complex than the ability of cities to measure and plan for their sustainability. To understand what ma…

BSCCNS/anonymized-sonar-dataset Open

José C. Carrasco-Jiménez, Fernando Cucchietti, Artur García-Sáez, Guillermo Marin, Luz Calvo · 2020

The Sonar data set offers information about mobility exhibited by attendees to the Sonar festival that took place from the 18th to the 20th of June, 2015 in Barcelona, Spain. The Sonar festival is a multistage event with more than 100,000 …

BSCCNS/anonymized-sonar-dataset Open

José C. Carrasco-Jiménez, Fernando Cucchietti, Artur García-Sáez, Guillermo Marin, Luz Calvo · 2020

The Sonar data set offers information about mobility exhibited by attendees to the Sonar festival that took place from the 18th to the 20th of June, 2015 in Barcelona, Spain. The Sonar festival is a multistage event with more than 100,000 …

Cuentalo-search-2018.04.27_2018.05.13-ids.txt Open

Aniol Maria, Fernando Cucchietti · 2020

:unav

A Constellation of Horrors: Analysis and Visualization of the #Cuéntalo Movement Open

Maria Soledad Bucalo, Luz Calvo, Fernando Cucchietti, David Garcia Povedano, Artur García-Sáez , et al. · 2019

In this work, we analyze content and structure of the Twitter trending topic #cuentalo with the purpose of providing a visualization of the movement. A supervised learning methodology is used to train the classifying algorithms with hand-l…

Fernando Cucchietti YOU? Author Swipe