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Now showing items 8502-8521 of 38489
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Decreased salivary lactoferrin levels are specific to Alzheimer's disease
(Elsevier, 2020-07)Background: Evidences of infectious pathogens in Alzheimer's disease (AD) brains may suggest a deteriorated innate immune system in AD pathophysiology. We previously demonstrated reduced salivary lactoferrin (Lf) levels, ... -
Decreased Striatal Adenosine A(2A)-Dopamine D(2)Receptor Heteromerization in Schizophrenia
(Springer Nature, 2020-10-03)According to the adenosine hypothesis of schizophrenia, the classically associated hyperdopaminergic state may be secondary to a loss of function of the adenosinergic system. Such a hypoadenosinergic state might either be ... -
Decrolyren pedagogiaren gauregunekotasuna
(2021-11-25)[EUS] Lehen Hezkuntzako graduan zehar ezagututako pedagogo sortzaileen errepaso orokor bat bideratzea izan zen lan honen abiapuntua. Hainbat pedagogo berritzaile aztertu ondoren, Ovide Decroly aukeratzea erabaki zen nire ... -
Dedicated versus mainstreaming approaches in local climate plans in Europe
(Elsevier, 2019)Cities are gaining prominence committing to respond to the threat of climate change, e.g., by developing local climate plans or strategies. However, little is known regarding the approaches and processes of plan development ... -
¿Dedicó Isidoro de Sevilla las "Etymologiae" al rey Sisebuto?
(Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua, 2018)Despite hesitation, the prevailing opinion among scholars today is that Isidore dedicated his masterpiece, "Etymologiae", to the visigoth king Sisebuto (612-621). We are not entirely sure about such estimation and in this ... -
Deducción y conocimiento en los orígenes de la teoría de la demostración
(Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua, 2001)... -
Deductive nomological model and mathematics: making dissatisfaction more satisfactory
(Servicio Editorial de la Universidad del País Vasco/Euskal Herriko Unibertsitatearen Argitalpen Zerbitzua, 2014)El debate sobre la explicación matemática ha heredado el mismo sentimiento de insatisfacción que los filósofos de la ciencia expresaron, en el contexto de la explicación científica, hacia el modelo nomológico deductivo. ... -
Deep learning based deep-sea automatic image enhancement and animal species classification
(Springer, 2023-03)The automatic classification of marine species based on images is a challenging task for which multiple solutions have been increasingly provided in the past two decades. Oceans are complex ecosystems, difficult to access, ... -
Deep learning based domain adaptation for mitochondria segmentation on EM volumes.
(Elsevier, 2022-07)[EN] BACKGROUND AND OBJECTIVE: Accurate segmentation of electron microscopy (EM) volumes of the brain is essential to characterize neuronal structures at a cell or organelle level. While supervised deep learning methods ... -
Deep learning based face beauty prediction via dynamic robust losses and ensemble regression
(Elsevier, 2022-04-22)In the last decade, several studies have shown that facial attractiveness can be learned by machines. In this paper, we address Facial Beauty Prediction from static images. The paper contains three main contributions. ... -
Deep Learning eredu batean oinarritutako irudien analisi eta azterketaren prototipo orokorgarri baten garapena: Nvidia Jetson TX1 plataforman inplementatuta
(2018-10-15)[ES] En este proyecto se ha trabajado con diferentes métodos utilizados en visión por computador con el objetivo de usarlos para la clasificación de imágenes. Para ello, se ha llevado a cabo un pre-procesado de imágenes ... -
Deep Learning for Inverting Borehole Resistivity Measurements.
(2022-11-25)El subsuelo terrestre está formado por diferentes materiales, principalmente por rocas porosas que posiblemente contienen minerales y están rellenas de agua salada y/o hidrocarburos. Por lo general, las formaciones que ... -
Deep learning for near-infrared spectral data modelling: Hypes and benefits
(Elsevier, 2022-12)Deep learning (DL) is emerging as a new tool to model spectral data acquired in analytical experiments. Although applications are flourishing, there is also much interest currently observed in the scientific community on ... -
Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions
(IEEE, 2021-07)Advances in information and signal processing technologies have a significant impact on autonomous driving (AD), improving driving safety while minimizing the efforts of human drivers with the help of advanced artificial ... -
Deep learning for semantic parsing
(2020-12-04)This is the memory of an exploratory research project on techniques for reasoning on text with Deep Learning (DL). To study reasoning we focus on the problem of Natural Language Question-Understanding (NLQU), and in ... -
Deep learning for understanding multilabel imbalanced Chest X-ray datasets
(Elsevier, 2023-07)Over the last few years, convolutional neural networks (CNNs) have dominated the field of computer vision thanks to their ability to extract features and their outstanding performance in classification problems, for example ... -
Deep Learning para Microscopía de Superresolución
(2020-12-04)El problema principal que este trabajo anual ha solucionado ha sido el aumento artificialde la resolución de imágenes procedentes de microscopios electrónicos. Los centros deinvestigación biomédica suelen contar con un ... -
Deep learning review and its applications
(2015-10-08)Deep neural networks have recently gained popularity for improv- ing state-of-the-art machine learning algorithms in diverse areas such as speech recognition, computer vision and bioinformatics. Convolutional networks ... -
Deep Learning with Discriminative Margin Loss for Cross-Domain Consumer-to-Shop Clothes Retrieval
(MDPI, 2022-03-30)Consumer-to-shop clothes retrieval refers to the problem of matching photos taken by customers with their counterparts in the shop. Due to some problems, such as a large number of clothing categories, different appearances ... -
Deep Learning-Based Feature Extraction of Acoustic Emission Signals for Monitoring Wear of Grinding Wheels
(MDPI, 2022-09-13)Tool wear monitoring is a critical issue in advanced manufacturing systems. In the search for sensing devices that can provide information about the grinding process, Acoustic Emission (AE) appears to be a promising ...