Ahaggach, Hamid Abrouk, Lylia Lebon, Eric
The estimation of repair costs for car damage is a critical yet challenging task for insurance companies and repair shops. Accurate and the rapid predictions are essential for providing reliable cost estimates to customers. Traditional methods in this domain face multiple challenges, including manual processes and inaccuracies in repair cost estima...
Reis, Elvys Dias Resende, Heron Freitas Christoforo, André Luis Costa, Rodrigo M. Gatuingt, Fabrice Poggiali, Flávia Spitale Jacques Bezerra, Augusto Cesar da Silva
The expanding field of nanoengineering modification of cementitious materials increasingly supports advances and innovations in science and engineering through nanotechnology. In this context, this research evaluates the physical and mechanical properties of concrete with carbon nanotubes (CNT–concrete), including compressive strength (CS), tensile...
Carlsson, Filippa
The building sector is responsible for excessive amounts of energy consumption and energy related emissions. The need to implement sustainable technology is crucial, such as heat pumps. However, faults within the system puts a strain on energy consumption. Studies have revealed that digital monitoring has the possibility to enhance energy-efficienc...
Uwamahoro, Solange Liu, Tie Nzabarinda, Vincent Frankl, Amaury Tuyishimire, Etienne Iradukunda, Angelique Ingabire, Romaine Umugwaneza, Adeline
Groundwater is linked to climate change, land use, and land cover changes around the world. This research aims to enhance understanding of hydrological dynamics and environmental changes in the region for sustainable water resource management and conservation. It employs the Soil and Water Assessment Tool (SWAT) model and the standard Groundwater L...
Gregori Torres, Júlia
[CA] Aquest projecte té com a objectiu mostrar una predicció de la desviació entre el temps concedit i el temps real de fabricació de vehicles ferroviaris en el marc de l’empresa Stadler. La companyia disposa d’un sistema de control de dades en planta en el qual es registren els temps de fabricació de cada ordre, per projecte i número de sèrie, dir...
Febrero Bande, Manuel Ordóñez Mayán, Lucía Cordeiro, Cristina Vieira, Duarte Nuno Muñoz Barús, José Ignacio
Published in
Forensic science, medicine, and pathology
Correctly estimating the post-mortem interval (PMI) is essential in forensic practice. In recent decades, the measurement of vitreous humor analyte concentrations - especially of hypoxanthine and potassium - and their correlation with the PMI have returned good results. However, calculating the PMI from the data collected can be quite complex. The ...
Hübner, Philippe Hambuckers, Julien
editorial reviewed
Salih, Tariq K. Saleem, Glavesh Y. Younis, Abdulaziz J.
Published in
IOP Conference Series: Earth and Environmental Science
This study was conducted for two main purposes, the first one was to study the mathematical relationship between naturally growing gall oak trees in three microsites (Chamankey, Swaratoka, and Baroshky) in Dohuk Governorate and the second one was to compare the ability of linear and nonlinear regression models in height estimation. For such purpose...
Da Cunha, Elton Carreiro Ordóñez-Mayán, Lucía Vázquez, Máximo Lucio Rodríguez Vieira, Duarte Nuno Febrero-Bande, Manuel Barús, José Ignacio Muñoz
Published in
Forensic science, medicine, and pathology
The K+ and hypoxanthine (Hx) concentrations of the vitreous humour (VH) rise gradually after death, providing a means of estimating the post-mortem interval (PMI). The correlation between these analytes and the PMI is good since the vitreous chamber is partially isolated from autolytic events occurring elsewhere; the [K +] and [Hx] recorded is thus...
Kantidakis, Georgios Putter, Hein Litière, Saskia Fiocco, Marta
Published in
BMC Medical Research Methodology
Background In health research, several chronic diseases are susceptible to competing risks (CRs). Initially, statistical models (SM) were developed to estimate the cumulative incidence of an event in the presence of CRs. As recently there is a growing interest in applying machine learning (ML) for clinical prediction, these techniques have also bee...