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Simultaneous Object Detection and Distance Estimation for Indoor Autonomous Vehicles
(MDPI, 2023-11-21)
Object detection is an essential and impactful technology in various fields due to its ability to automatically locate and identify objects in images or videos. In addition, object-distance estimation is a fundamental ...
Bootstrapping long memory time series: Application in low frequency estimators
(Elsevier, 2021-07-08)
Bootstrapping time series requires dealing with the dependence that may exist within
the sample. Several strategies have been proposed, but their validity has only been
proven for short memory series and there has been ...
Retinal thickness as a biomarker of cognitive impairment in manifest Huntington’s disease
(Springer Nature, 2023)
Background
Cognitive decline has been reported in premanifest and manifest Huntington’s disease but reliable biomarkers are lacking. Inner retinal layer thickness seems to be a good biomarker of cognition in other ...
Systematic modeling of photovoltaic modules based on artificial neural networks
(Elsevier, 2016-06-03)
Using accurate models of photovoltaic modules is of major importance to make realistic simulations of these systems in order to study their elements for a better performance. In this paper we address the problem of the ...
“Por las treguas de butrón, no dejes el lorigón”. Armas, heridas de combate y muertes en el País Vasco bajomedieval
(CSIC, 2022-12)
El objetivo de este trabajo es realizar una primera aproximación a los resultados de la materialidad del combate en el escenario del País Vasco bajomedieval durante el fenómeno conocido como la Lucha de Bandos. Para ello, ...
Maternal Immune Activation Induces Cortical Catecholaminergic Hypofunction and Cognitive Impairments in Offspring
(Springer Nature, 2023)
Background
Impairment of specific cognitive domains in schizophrenia has been associated with prefrontal cortex (PFC) catecholaminergic deficits. Among other factors, prenatal exposure to infections represents an ...
Energy and thermal modelling of an office building to develop an artificial neural networks model
(Nature, 2022)
[EN] Nowadays everyone should be aware of the importance of reducing CO2 emissions which produce the greenhouse effect. In the field of construction, several options are proposed to reach nearly-Zero Energy Building (nZEB) ...
Cyber Dating Abuse: Conceptualization and Meta-analysis of Prevalence Rates
(Colegio Oficial de la Psicología de Madrid, 2024-02)
In this study, a systematic review was carried out with the aim of analyzing the terms, definitions, dimensions, and prevalence rates of cyber dating abuse (CDA). After the analysis, the term cyber dating abuse is considered ...
Computational Modeling of a 2D Vanadium Redox Flow Battery Cell
(Springer Nature, 2024-01)
These days, the implementation of sustainable power generation has led to a
difference in propensity in the energy creation and capacity frameworks,
compelling them to conquer the hardships that it addresses. Considering ...
Battery Charge Control in Solar Photovoltaic Systems Based on Fuzzy Logic and Jellyfish Optimization Algorithm
(MDPI, 2023-10-18)
The study focuses on the integration of a fuzzy logic-based Maximum Power Point Tracking (MPPT) system, an optimized proportional Integral-based voltage controller, and the Jellyfish Optimization Algorithm into a solar PV ...