Search Results - "Pozo, Ruben Fernandez"
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Time-Based Utilization Rate of the Fleet: Measuring Deep Inefficiencies in E-Scooter Services in Atlanta and Rome
Published in IEEE transactions on intelligent transportation systems (01-06-2024)“…E-scooter services have been deployed in cities worldwide, as a clean, flexible, and enjoyable mobility mode that contribute to reaching sustainable…”
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Prediction of On-Street Parking Level of Service Based on Random Undersampling Decision Trees
Published in IEEE transactions on intelligent transportation systems (01-07-2022)“…Effective on-street parking is key to reduce urban traffic and pollution in densely populated cities. Thus, researchers have focused on forecasting future…”
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Blind classification of e-scooter trips according to their relationship with public transport
Published in Transportation (Dordrecht) (01-10-2024)“…E-scooter services have multiplied worldwide as a form of urban transport. Their use has grown so quickly that policymakers and researchers still need to…”
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Analysis of Extended Information Provided by Bluetooth Traffic Monitoring Systems to Enhance Short-Term Level of Service Prediction
Published in Sensors (Basel, Switzerland) (17-06-2022)“…Bluetooth monitoring systems (BTMS) have opened a new era in traffic sensing, providing a reliable, economical, and easy-to-deploy solution to uniquely…”
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Data-Driven Performance Evaluation Framework for Multi-Modal Public Transport Systems
Published in Sensors (Basel, Switzerland) (21-12-2021)“…Transport agencies require accurate and updated information about public transport systems for the optimal decision-making processes regarding design and…”
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Usability evaluation of multi-modal biometric verification systems
Published in Interacting with computers (01-09-2006)“…As a result of the evolution in the field of biometrics, a new breed of techniques and methods for user identity recognition and verification has appeared…”
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Analysis of voice features related to obstructive sleep apnoea and their application in diagnosis support
Published in Computer speech & language (01-03-2014)“…•16 voice features proposed for the detection of obstructive sleep apnoea.•Voice features analyzed in isolation and combined with LDA and multiple linear…”
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Driver Identification and Verification From Smartphone Accelerometers Using Deep Neural Networks
Published in IEEE transactions on intelligent transportation systems (01-01-2022)“…This paper addresses driver identification and verification using Deep Learning (DL) on tri-axial accelerometer signals from drivers' smartphones. The proposed…”
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Characterization of COVID-19's Impact on Mobility and Short-Term Prediction of Public Transport Demand in a Mid-Size City in Spain
Published in Sensors (Basel, Switzerland) (30-09-2021)“…COVID-19 has dramatically struck each section of our society: health, economy, employment, and mobility. This work presents a data-driven characterization of…”
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Data-driven analysis of the impact of COVID-19 on Madrid's public transport during each phase of the pandemic
Published in Cities (01-08-2022)“…COVID-19 has become a major global issue with large social-economic and health impacts, which led to important changes in people's behavior. One of these…”
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Short-Term Prediction of Level of Service in Highways Based on Bluetooth Identification
Published in IEEE transactions on intelligent transportation systems (01-01-2022)“…A precise knowledge about future traffic will eventually open a new era in traffic management. Research has focused on the still unresolved problem of…”
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Hierarchical Agglomerative Clustering of Bicycle Sharing Stations Based on Ultra-Light Edge Computing
Published in Sensors (Basel, Switzerland) (23-06-2020)“…Bicycle sharing systems (BSSs) have established a new shared-economy mobility model. After a rapid growth they are evolving into a fully-functional mobile…”
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Estimating Vehicle Movement Direction from Smartphone Accelerometers Using Deep Neural Networks
Published in Sensors (Basel, Switzerland) (10-08-2018)“…Characterization of driving maneuvers or driving styles through motion sensors has become a field of great interest. Before now, this characterization used to…”
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Data-Driven Analysis of Bicycle Sharing Systems as Public Transport Systems Based on a Trip Index Classification
Published in Sensors (Basel, Switzerland) (02-08-2020)“…Bicycle Sharing Systems (BSSs) are exponentially increasing in the urban mobility sector. They are traditionally conceived as a last-mile complement to the…”
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Formant Frequencies and Bandwidths in Relation to Clinical Variables in an Obstructive Sleep Apnea Population
Published in Journal of voice (01-01-2016)“…Summary Objectives We investigated whether differences in formants and their bandwidths, previously reported comparing small sample population of healthy…”
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Beyond objective performance evaluation in multimodal biometric systems
Published in Annales des télécommunications (01-01-2007)Get full text
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Obstructive Sleep Apnea in Women: Study of Speech and Craniofacial Characteristics
Published in JMIR mHealth and uHealth (06-11-2017)“…Obstructive sleep apnea (OSA) is a common sleep disorder characterized by frequent cessation of breathing lasting 10 seconds or longer. The diagnosis of OSA is…”
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Were ride-hailing fares affected by the COVID-19 pandemic? Empirical analyses in Atlanta and Boston
Published in Transportation (Dordrecht) (01-06-2024)“…Ride-hailing services such as Lyft, Uber, and Cabify operate through smartphone apps and are a popular and growing mobility option in cities around the world…”
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Utilization rate of the fleet: a novel performance metric for a novel shared mobility
Published in Transportation (Dordrecht) (01-02-2023)“…Car-sharing systems have irrupted in our cities following the shared mobility paradigm. They have evolved the personal mobility market from product-based into…”
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Assessment of Severe Apnoea through Voice Analysis, Automatic Speech, and Speaker Recognition Techniques
Published in EURASIP journal on advances in signal processing (01-01-2009)“…This study is part of an ongoing collaborative effort between the medical and the signal processing communities to promote research on applying standard…”
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